mirror of
https://github.com/Doctorado-ML/Stree_datasets.git
synced 2025-08-15 23:46:03 +00:00
Add normalization/no normalization results
This commit is contained in:
@@ -260,10 +260,8 @@ for number, dataset in enumerate(dt):
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X, y = dt.load(dataset[0]) # type: ignore
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line["samp"], line["var"] = X.shape
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line["cls"] = len(np.unique(y))
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record = dbh.find_best(dataset[0], models, experiment, time_info)
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max_accuracy = (
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0.0 if record is None else record[9] if time_info else record[5]
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)
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record = dbh.find_best(dataset[0], models, experiment)
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max_accuracy = 0.0 if record is None else record[5]
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line["nodes"] = 0.0
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line["leaves"] = 0.0
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line["depth"] = 0.0
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@@ -282,11 +280,9 @@ for number, dataset in enumerate(dt):
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acc_std = record[10] if time_info else record[11]
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find_one = True
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item = f"{accuracy:{lengths[column + 7]-6}.4f}±{acc_std:.3f}"
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# item = f"{accuracy:.4f}±{acc_std:.3f}"
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line_tex[model] = item
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if round(accuracy, 4) == round(max_accuracy, 4):
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if round(record[5], 4) == round(max_accuracy, 4):
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line_tex[model] = "\\textbf{" + item + "}"
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if accuracy == max_accuracy:
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line[model] = (
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TextColor.GREEN + TextColor.BOLD + item + TextColor.ENDC
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)
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18
checkdatasets.py
Executable file
18
checkdatasets.py
Executable file
@@ -0,0 +1,18 @@
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from experimentation.Sets import Datasets
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dt = Datasets(normalize=False, standardize=False, set_of_files="tanveer")
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print("Checking normalized datasets: ")
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for data in dt:
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name = data[0]
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X, y = dt.load(name)
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min_value = X.min()
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max_value = X.max()
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resultado = (
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"Normalizado"
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if min_value <= 1
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and min_value >= 0
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and max_value <= 1
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and max_value >= 0
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else "No Normalizado"
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)
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print(f"{name:30s}: {resultado} ")
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@@ -45,8 +45,20 @@ def parse_arguments():
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required=False,
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help="generate report_score.sql",
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)
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ap.add_argument(
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"-n",
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"--normalize",
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type=int,
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required=True,
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)
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args = ap.parse_args()
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return (args.set_of_files, args.model, args.dataset, args.sql)
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return (
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args.set_of_files,
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args.model,
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args.dataset,
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args.sql,
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bool(args.normalize),
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)
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def get_classifier(model, random_state, hyperparameters):
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@@ -163,9 +175,8 @@ def store_string(
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random_seeds = [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]
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normalize = True
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standardize = False
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(set_of_files, model, dataset, sql) = parse_arguments()
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(set_of_files, model, dataset, sql, normalize) = parse_arguments()
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dbh = MySQL()
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if sql:
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sql_output = open(f"{model}.sql", "w")
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49
results/no_normalizados/cart.sql
Normal file
49
results/no_normalizados/cart.sql
Normal file
@@ -0,0 +1,49 @@
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:05','crossval','0.7820799999999999','0.03608203985364464','balance-scale','cart','1','0','0.0006895732879638672','9.585512204187001e-05','{}','256.8','128.9','10.72');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:05','crossval','0.6833333333333335','0.26977356760397747','balloons','cart','1','0','0.00045167922973632813','8.314310832433152e-05','{}','11.36','6.18','3.46');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:05','crossval','0.9239217512808571','0.02323176886368342','breast-cancer-wisc-diag','cart','1','0','0.004026312828063965','0.0003832660375765108','{}','36.16','18.58','7.1');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:05','crossval','0.6914615384615383','0.07229069176397018','breast-cancer-wisc-prog','cart','1','0','0.001636524200439453','0.00016118872589738754','{}','43.2','22.1','7.84');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:05','crossval','0.9433556012332991','0.020857147642906682','breast-cancer-wisc','cart','1','0','0.0007448291778564453','7.952884711032617e-05','{}','57.52','29.26','8.72');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:05','crossval','0.6362613430127042','0.05493193657305148','breast-cancer','cart','1','0','0.0006400537490844726','7.148655924097657e-05','{}','164.72','82.86','15.56');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:06','crossval','0.8109128969897819','0.019011886406374308','cardiotocography-10clases','cart','1','0','0.00927929401397705','0.00032768635895336204','{}','480.84','240.92','20.02');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:06','crossval','0.9204613090306545','0.013845817718125228','cardiotocography-3clases','cart','1','0','0.008006572723388672','0.000581871395345929','{}','210.96','105.98','15.88');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.7253890824622532','0.06929084790257113','conn-bench-sonar-mines-rocks','cart','1','0','0.0025427818298339845','0.00023135407236547602','{}','34.16','17.58','6.44');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.712632781267847','0.046238358140227635','cylinder-bands','cart','1','0','0.0021113824844360353','0.00011878541249776847','{}','131.96','66.48','13.46');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.9396038504257683','0.02387579095888003','dermatology','cart','1','0','0.0007888269424438476','8.977643399734413e-05','{}','34.6','17.8','10.82');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.7443589743589744','0.08299708625595158','echocardiogram','cart','1','0','0.0005924892425537109','6.924993675905132e-05','{}','32.6','16.8','8.82');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.7989999999999999','0.08395832299420945','fertility','cart','1','0','0.0004995489120483399','6.573834179403952e-05','{}','28.84','14.92','7.16');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.6404970914859863','0.055117499856839475','haberman-survival','cart','1','0','0.0006308364868164063','6.88188831759521e-05','{}','160.92','80.96','15.1');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.750613676212741','0.04493113662535727','heart-hungarian','cart','1','0','0.0007546281814575195','7.599364741043959e-05','{}','83.08','42.04','9.6');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.7658064516129032','0.07293747411360528','hepatitis','cart','1','0','0.0006260824203491211','8.319413975497318e-05','{}','37.0','19.0','7.66');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.6639640436192161','0.03825985300800366','ilpd-indian-liver','cart','1','0','0.0016011142730712892','0.00011228560510385542','{}','186.32','93.66','18.08');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.8757907444668007','0.03797437861573896','ionosphere','cart','1','0','0.0031129264831542968','0.00044557483844957617','{}','40.32','20.66','9.88');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.9386666666666668','0.04389887368841153','iris','cart','1','0','0.0004957342147827149','6.869171204734163e-05','{}','15.08','8.04','5.04');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.7037','0.029644729717101474','led-display','cart','1','0','0.0006795787811279297','8.205120251226529e-05','{}','156.6','78.8','7.0');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:08','crossval','0.6549999999999998','0.059210338603413376','libras','cart','1','0','0.009473528861999512','0.00041687226958704435','{}','132.32','66.66','11.16');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:09','crossval','0.8352036677834599','0.030503013555880365','low-res-spect','cart','1','0','0.01599471092224121','0.0010067924507811056','{}','74.96','37.98','8.74');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:09','crossval','0.7683218390804598','0.07551790968755526','lymphography','cart','1','0','0.0005704402923583984','7.528171497046547e-05','{}','49.0','25.0','7.86');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:09','crossval','0.7569187176165802','0.020852411303147095','mammographic','cart','1','0','0.0009690475463867188','7.045101173454249e-05','{}','403.12','202.06','20.46');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:09','crossval','0.7158008658008658','0.08811757165025375','molec-biol-promoter','cart','1','0','0.000699605941772461','7.215878829362719e-05','{}','22.24','11.62','5.24');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:10','crossval','0.7768969298245614','0.043771936691364643','musk-1','cart','1','0','0.018811721801757813','0.002304830126060568','{}','75.12','38.06','12.5');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:11','crossval','0.7195667144906744','0.03068883042942922','oocytes_merluccius_nucleus_4d','cart','1','0','0.01387925148010254','0.0011049971829064531','{}','222.24','111.62','15.08');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:11','crossval','0.8911927307508368','0.02477313298773685','oocytes_merluccius_states_2f','cart','1','0','0.006928844451904297','0.0005358688928491198','{}','98.84','49.92','10.78');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.7257617246141836','0.029837690053299604','oocytes_trisopterus_nucleus_2f','cart','1','0','0.008334317207336427','0.0004407422815961097','{}','192.76','96.88','15.64');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.8702630156728517','0.025916263242401694','oocytes_trisopterus_states_5b','cart','1','0','0.009182934761047363','0.0004579668897568289','{}','109.12','55.06','12.56');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.8558974358974359','0.05822037527622443','parkinsons','cart','1','0','0.0010377120971679686','0.00010250798132904176','{}','24.84','12.92','5.54');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.7011722264663441','0.030849394257539655','pima','cart','1','0','0.0017403793334960938','8.937192153719244e-05','{}','218.52','109.76','14.28');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.8006493506493506','0.07641918889128255','pittsburg-bridges-MATERIAL','cart','1','0','0.0004854726791381836','6.648911204040945e-05','{}','33.24','17.12','7.18');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.6171904761904762','0.10161093599079367','pittsburg-bridges-REL-L','cart','1','0','0.0005215120315551758','7.906812606351326e-05','{}','57.72','29.36','12.18');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.5575438596491228','0.09592147935027655','pittsburg-bridges-SPAN','cart','1','0','0.0004979562759399414','5.785086367922486e-05','{}','55.36','28.18','10.1');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.8225238095238094','0.08877499647986477','pittsburg-bridges-T-OR-D','cart','1','0','0.00047728538513183596','6.632024333779442e-05','{}','26.44','13.72','5.94');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.573963963963964','0.07834935548163284','planning','cart','1','0','0.0010292387008666991','0.00011388930267583174','{}','60.56','30.78','12.18');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.5822222222222222','0.10554970744033704','post-operative','cart','1','0','0.00048816680908203125','6.001713576808925e-05','{}','66.32','33.66','11.24');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.9161904761904762','0.04238897730336739','seeds','cart','1','0','0.0006614398956298829','6.860318090486153e-05','{}','25.04','13.02','6.14');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.5720289855072465','0.04059031952408632','statlog-australian-credit','cart','1','0','0.0019398117065429687','0.00010038416987615177','{}','269.88','135.44','18.46');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.6897','0.02526677660486194','statlog-german-credit','cart','1','0','0.00219578742980957','0.000122246187143129','{}','331.92','166.46','16.42');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.7344444444444446','0.04693777803495507','statlog-heart','cart','1','0','0.0007591104507446289','8.689164261641914e-05','{}','73.68','37.34','8.86');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:14','crossval','0.9613419913419914','0.00934513626156175','statlog-image','cart','1','0','0.008961734771728515','0.00030301960507815595','{}','127.32','64.16','15.94');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:14','crossval','0.706384267316394','0.030533108686824795','statlog-vehicle','cart','1','0','0.0031003618240356447','0.00014451490002519648','{}','233.52','117.26','16.26');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:14','crossval','0.9023333333333332','0.02511307760244982','synthetic-control','cart','1','0','0.009293899536132813','0.0004231397357813749','{}','52.16','26.58','8.58');
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replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:14','crossval','0.9522851221640489','0.018529859619663462','tic-tac-toe','cart','1','0','0.0008030366897583007','8.096003657351391e-05','{}','119.2','60.1','9.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:14','crossval','0.7996774193548387','0.04231712199258938','vertebral-column-2clases','cart','1','0','0.0007796287536621094','8.74108844244103e-05','{}','61.16','31.08','9.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:14','crossval','0.9015873015873015','0.0526003102936011','wine','cart','1','0','0.0006901454925537109','7.282087849628442e-05','{}','16.24','8.62','4.38');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:15','crossval','0.9555714285714286','0.044427856881917915','zoo','cart','1','0','0.00046809196472167967','5.679123427661233e-05','{}','17.96','9.48','6.8');
|
||||
55
results/no_normalizados/cart.txt
Normal file
55
results/no_normalizados/cart.txt
Normal file
@@ -0,0 +1,55 @@
|
||||
* Process all datasets set with cart: tanveer norm: False std: False store in: cart
|
||||
5 Fold Cross Validation with 10 random seeds [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]
|
||||
|
||||
Dataset Samp Var Cls Nodes Leaves Depth Accuracy Time Parameters
|
||||
============================== ===== === === ======= ======= ======= =============== =============== ==========
|
||||
balance-scale 625 4 3 256.80 128.90 10.72 0.782080±0.0361 0.000690±0.0001 {}
|
||||
balloons 16 4 2 11.36 6.18 3.46 0.683333±0.2698 0.000452±0.0001 {}
|
||||
breast-cancer-wisc-diag 569 30 2 36.16 18.58 7.10 0.923922±0.0232 0.004026±0.0004 {}
|
||||
breast-cancer-wisc-prog 198 33 2 43.20 22.10 7.84 0.691462±0.0723 0.001637±0.0002 {}
|
||||
breast-cancer-wisc 699 9 2 57.52 29.26 8.72 0.943356±0.0209 0.000745±0.0001 {}
|
||||
breast-cancer 286 9 2 164.72 82.86 15.56 0.636261±0.0549 0.000640±0.0001 {}
|
||||
cardiotocography-10clases 2126 21 10 480.84 240.92 20.02 0.810913±0.0190 0.009279±0.0003 {}
|
||||
cardiotocography-3clases 2126 21 3 210.96 105.98 15.88 0.920461±0.0138 0.008007±0.0006 {}
|
||||
conn-bench-sonar-mines-rocks 208 60 2 34.16 17.58 6.44 0.725389±0.0693 0.002543±0.0002 {}
|
||||
cylinder-bands 512 35 2 131.96 66.48 13.46 0.712633±0.0462 0.002111±0.0001 {}
|
||||
dermatology 366 34 6 34.60 17.80 10.82 0.939604±0.0239 0.000789±0.0001 {}
|
||||
echocardiogram 131 10 2 32.60 16.80 8.82 0.744359±0.0830 0.000592±0.0001 {}
|
||||
fertility 100 9 2 28.84 14.92 7.16 0.799000±0.0840 0.000500±0.0001 {}
|
||||
haberman-survival 306 3 2 160.92 80.96 15.10 0.640497±0.0551 0.000631±0.0001 {}
|
||||
heart-hungarian 294 12 2 83.08 42.04 9.60 0.750614±0.0449 0.000755±0.0001 {}
|
||||
hepatitis 155 19 2 37.00 19.00 7.66 0.765806±0.0729 0.000626±0.0001 {}
|
||||
ilpd-indian-liver 583 9 2 186.32 93.66 18.08 0.663964±0.0383 0.001601±0.0001 {}
|
||||
ionosphere 351 33 2 40.32 20.66 9.88 0.875791±0.0380 0.003113±0.0004 {}
|
||||
iris 150 4 3 15.08 8.04 5.04 0.938667±0.0439 0.000496±0.0001 {}
|
||||
led-display 1000 7 10 156.60 78.80 7.00 0.703700±0.0296 0.000680±0.0001 {}
|
||||
libras 360 90 15 132.32 66.66 11.16 0.655000±0.0592 0.009474±0.0004 {}
|
||||
low-res-spect 531 100 9 74.96 37.98 8.74 0.835204±0.0305 0.015995±0.0010 {}
|
||||
lymphography 148 18 4 49.00 25.00 7.86 0.768322±0.0755 0.000570±0.0001 {}
|
||||
mammographic 961 5 2 403.12 202.06 20.46 0.756919±0.0209 0.000969±0.0001 {}
|
||||
molec-biol-promoter 106 57 2 22.24 11.62 5.24 0.715801±0.0881 0.000700±0.0001 {}
|
||||
musk-1 476 166 2 75.12 38.06 12.50 0.776897±0.0438 0.018812±0.0023 {}
|
||||
oocytes_merluccius_nucleus_4d 1022 41 2 222.24 111.62 15.08 0.719567±0.0307 0.013879±0.0011 {}
|
||||
oocytes_merluccius_states_2f 1022 25 3 98.84 49.92 10.78 0.891193±0.0248 0.006929±0.0005 {}
|
||||
oocytes_trisopterus_nucleus_2f 912 25 2 192.76 96.88 15.64 0.725762±0.0298 0.008334±0.0004 {}
|
||||
oocytes_trisopterus_states_5b 912 32 3 109.12 55.06 12.56 0.870263±0.0259 0.009183±0.0005 {}
|
||||
parkinsons 195 22 2 24.84 12.92 5.54 0.855897±0.0582 0.001038±0.0001 {}
|
||||
pima 768 8 2 218.52 109.76 14.28 0.701172±0.0308 0.001740±0.0001 {}
|
||||
pittsburg-bridges-MATERIAL 106 7 3 33.24 17.12 7.18 0.800649±0.0764 0.000485±0.0001 {}
|
||||
pittsburg-bridges-REL-L 103 7 3 57.72 29.36 12.18 0.617190±0.1016 0.000522±0.0001 {}
|
||||
pittsburg-bridges-SPAN 92 7 3 55.36 28.18 10.10 0.557544±0.0959 0.000498±0.0001 {}
|
||||
pittsburg-bridges-T-OR-D 102 7 2 26.44 13.72 5.94 0.822524±0.0888 0.000477±0.0001 {}
|
||||
planning 182 12 2 60.56 30.78 12.18 0.573964±0.0783 0.001029±0.0001 {}
|
||||
post-operative 90 8 3 66.32 33.66 11.24 0.582222±0.1055 0.000488±0.0001 {}
|
||||
seeds 210 7 3 25.04 13.02 6.14 0.916190±0.0424 0.000661±0.0001 {}
|
||||
statlog-australian-credit 690 14 2 269.88 135.44 18.46 0.572029±0.0406 0.001940±0.0001 {}
|
||||
statlog-german-credit 1000 24 2 331.92 166.46 16.42 0.689700±0.0253 0.002196±0.0001 {}
|
||||
statlog-heart 270 13 2 73.68 37.34 8.86 0.734444±0.0469 0.000759±0.0001 {}
|
||||
statlog-image 2310 18 7 127.32 64.16 15.94 0.961342±0.0093 0.008962±0.0003 {}
|
||||
statlog-vehicle 846 18 4 233.52 117.26 16.26 0.706384±0.0305 0.003100±0.0001 {}
|
||||
synthetic-control 600 60 6 52.16 26.58 8.58 0.902333±0.0251 0.009294±0.0004 {}
|
||||
tic-tac-toe 958 9 2 119.20 60.10 9.28 0.952285±0.0185 0.000803±0.0001 {}
|
||||
vertebral-column-2clases 310 6 2 61.16 31.08 9.30 0.799677±0.0423 0.000780±0.0001 {}
|
||||
wine 178 13 3 16.24 8.62 4.38 0.901587±0.0526 0.000690±0.0001 {}
|
||||
zoo 101 16 7 17.96 9.48 6.80 0.955571±0.0444 0.000468±0.0001 {}
|
||||
Time: 0h 0m 9s
|
||||
49
results/no_normalizados/j48svm.sql
Normal file
49
results/no_normalizados/j48svm.sql
Normal file
@@ -0,0 +1,49 @@
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'balance-scale', 0.94016, 0.021776, 0.14606, 0.058464, 35.58);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'balloons', 0.595, 0.187831, 0.00542, 0.002728, 4.4);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'breast-cancer-wisc-diag', 0.951826, 0.024727, 0.03676, 0.006019, 13.76);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'breast-cancer-wisc-prog', 0.724038, 0.072215, 0.0326, 0.005706, 21.52);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'breast-cancer-wisc', 0.967246, 0.012464, 0.04834, 0.007073, 8.36);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'breast-cancer', 0.707368, 0.052112, 0.07078, 0.010561, 23.16);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'cardiotocography-10clases', 0.830342, 0.016803, 1.40346, 0.085345, 197.52);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'cardiotocography-3clases', 0.928503, 0.012272, 0.40414, 0.019315, 91.84);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'conn-bench-sonar-mines-rocks', 0.73892, 0.06386, 0.04474, 0.005976, 25.2);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'cylinder-bands', 0.726547, 0.02963, 0.10644, 0.007869, 85.4);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'dermatology', 0.957105, 0.024117, 0.07098, 0.018434, 15.12);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'echocardiogram', 0.805527, 0.084433, 0.02256, 0.005852, 13.4);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'fertility', 0.857, 0.071421, 0.02454, 0.005367, 4.48);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'haberman-survival', 0.715024, 0.049144, 0.02132, 0.009392, 4.4);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'heart-hungarian', 0.785026, 0.048182, 0.0628, 0.008459, 22.12);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'hepatitis', 0.761935, 0.058025, 0.0366, 0.006066, 16.6);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'ilpd-indian-liver', 0.690339, 0.04248, 0.05484, 0.011497, 14.24);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'ionosphere', 0.891984, 0.033857, 0.04734, 0.005932, 23.64);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'iris', 0.946, 0.035207, 0.01378, 0.00422, 6.88);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'led-display', 0.7209, 0.028665, 1.27506, 0.090806, 12.6);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'libras', 0.659722, 0.062685, 1.0564, 0.068396, 88.24);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'low-res-spect', 0.838295, 0.038928, 0.33104, 0.024767, 45.76);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'lymphography', 0.778552, 0.078755, 0.0503, 0.00861, 25.28);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'mammographic', 0.821539, 0.024023, 0.0861, 0.007877, 18.84);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'molec-biol-promoter', 0.744026, 0.091065, 0.02676, 0.004554, 16.0);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'musk-1', 0.82693, 0.046843, 0.32962, 0.02499, 50.72);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'oocytes_merluccius_nucleus_4d', 0.74353, 0.034123, 0.23794, 0.023783, 77.32);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'oocytes_merluccius_states_2f', 0.902056, 0.021722, 0.1223, 0.014771, 38.2);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'oocytes_trisopterus_nucleus_2f', 0.753968, 0.034471, 0.19938, 0.049357, 57.12);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'oocytes_trisopterus_states_5b', 0.898354, 0.02595, 0.18212, 0.035407, 44.6);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'parkinsons', 0.844615, 0.051642, 0.02374, 0.004573, 18.04);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'pima', 0.750526, 0.026704, 0.06446, 0.011616, 21.56);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'pittsburg-bridges-MATERIAL', 0.85026, 0.073586, 0.04298, 0.008133, 7.12);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'pittsburg-bridges-REL-L', 0.645048, 0.103969, 0.069, 0.011732, 13.48);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'pittsburg-bridges-SPAN', 0.614912, 0.119086, 0.0498, 0.009224, 11.04);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'pittsburg-bridges-T-OR-D', 0.838333, 0.077644, 0.02482, 0.004412, 6.72);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'planning', 0.711381, 0.050453, 0.00692, 0.003741, 1.08);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'post-operative', 0.701111, 0.086702, 0.04788, 0.012367, 1.88);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'seeds', 0.909048, 0.048723, 0.0274, 0.005923, 13.08);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'statlog-australian-credit', 0.66029, 0.03596, 0.16892, 0.026192, 85.16);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'statlog-german-credit', 0.7244, 0.028296, 0.23736, 0.013601, 128.48);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'statlog-heart', 0.80963, 0.047725, 0.0627, 0.006149, 15.28);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'statlog-image', 0.967619, 0.010865, 0.3594, 0.040865, 69.68);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'statlog-vehicle', 0.732255, 0.030612, 0.28718, 0.022451, 92.72);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'synthetic-control', 0.922333, 0.030661, 0.1636, 0.017013, 35.24);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'tic-tac-toe', 0.983295, 0.007889, 0.0688, 0.007225, 3.0);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'vertebral-column-2clases', 0.852258, 0.044507, 0.02046, 0.005427, 9.16);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'wine', 0.978587, 0.020819, 0.00794, 0.00142, 4.32);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'zoo', 0.92381, 0.046715, 0.08532, 0.00977, 14.48);
|
||||
583151
results/no_normalizados/j48svm.txt
Normal file
583151
results/no_normalizados/j48svm.txt
Normal file
File diff suppressed because it is too large
Load Diff
343
results/no_normalizados/no_normalizados.sql
Normal file
343
results/no_normalizados/no_normalizados.sql
Normal file
@@ -0,0 +1,343 @@
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:20:51', 'crossval', 0.706738, 'balance-scale', 'BaseRaF', 1, 0, '{}', 0.230848, 0.0318996, 0.0178062, 28.81);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:20:52', 'crossval', 0.605, 'balloons', 'BaseRaF', 1, 0, '{}', 0.230195, 0.0011394, 0.000448618, 4.65);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:21:06', 'crossval', 0.965694, 'breast-cancer-wisc-diag', 'BaseRaF', 1, 0, '{}', 0.0143465, 0.0149353, 0.00289327, 10.81);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:21:12', 'crossval', 0.74485, 'breast-cancer-wisc-prog', 'BaseRaF', 1, 0, '{}', 0.0541356, 0.00703754, 0.000955761, 16.44);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:21:27', 'crossval', 0.942857, 'breast-cancer-wisc', 'BaseRaF', 1, 0, '{}', 0.0166086, 0.0151967, 0.0017186, 28.89);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:21:40', 'crossval', 0.656438, 'breast-cancer', 'BaseRaF', 1, 0, '{}', 0.0500531, 0.0192996, 0.00201731, 64.88);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:25:14', 'crossval', 0.774788, 'cardiotocography-10clases', 'BaseRaF', 1, 0, '{}', 0.0179435, 0.42372, 0.111354, 255.01);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:27:36', 'crossval', 0.896715, 'cardiotocography-3clases', 'BaseRaF', 1, 0, '{}', 0.0129992, 0.381444, 0.0666812, 106.66);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:27:41', 'crossval', 0.772981, 'conn-bench-sonar-mines-rocks', 'BaseRaF', 1, 0, '{}', 0.054519, 0.00598101, 0.000759466, 13.5);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:02', 'crossval', 0.675117, 'cylinder-bands', 'BaseRaF', 1, 0, '{}', 0.0359021, 0.0249964, 0.00202589, 47.54);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:13', 'crossval', 0.970723, 'dermatology', 'BaseRaF', 1, 0, '{}', 0.0175846, 0.0121389, 0.0010901, 13.93);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:18', 'crossval', 0.753522, 'echocardiogram', 'BaseRaF', 1, 0, '{}', 0.0718413, 0.00750033, 0.00161811, 20.14);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:21', 'crossval', 0.798, 'fertility', 'BaseRaF', 1, 0, '{}', 0.0787592, 0.00438735, 0.00082982, 15.92);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:31', 'crossval', 0.720133, 'haberman-survival', 'BaseRaF', 1, 0, '{}', 0.0475346, 0.0131448, 0.00499674, 32.68);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:43', 'crossval', 0.779804, 'heart-hungarian', 'BaseRaF', 1, 0, '{}', 0.0445811, 0.0166187, 0.00157407, 50.97);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:47', 'crossval', 0.773671, 'hepatitis', 'BaseRaF', 1, 0, '{}', 0.0639841, 0.00578021, 0.000831726, 16.34);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:29:13', 'crossval', 0.696685, 'ilpd-indian-liver', 'BaseRaF', 1, 0, '{}', 0.0356957, 0.0304009, 0.010731, 78.23);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:29:22', 'crossval', 0.875389, 'ionosphere', 'BaseRaF', 1, 0, '{}', 0.0343367, 0.00810207, 0.00126368, 14.86);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:29:25', 'crossval', 0.953413, 'iris', 'BaseRaF', 1, 0, '{}', 0.0312751, 0.00319496, 0.000564433, 10.65);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:30:28', 'crossval', 0.70178, 'led-display', 'BaseRaF', 1, 0, '{}', 0.0236684, 0.0837334, 0.00515429, 133.27);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:31:24', 'crossval', 0.726722, 'libras', 'BaseRaF', 1, 0, '{}', 0.0462516, 0.194452, 0.0319483, 65);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:31:49', 'crossval', 0.790875, 'low-res-spect', 'BaseRaF', 1, 0, '{}', 0.0338948, 0.0700037, 0.00737621, 22.25);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:31:54', 'crossval', 0.761622, 'lymphography', 'BaseRaF', 1, 0, '{}', 0.072691, 0.00602972, 0.000858306, 17.09);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:32:50', 'crossval', 0.780206, 'mammographic', 'BaseRaF', 1, 0, '{}', 0.0261463, 0.0725665, 0.00665848, 177.33);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:32:52', 'crossval', 0.667239, 'molec-biol-promoter', 'BaseRaF', 1, 0, '{}', 0.0894839, 0.00204324, 0.000882715, 4.23);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:33:10', 'crossval', 0.834034, 'musk-1', 'BaseRaF', 1, 0, '{}', 0.0355503, 0.0294025, 0.00582493, 32.15);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:33:59', 'crossval', 0.792313, 'oocytes_merluccius_nucleus_4d', 'BaseRaF', 1, 0, '{}', 0.0236722, 0.0609631, 0.00810882, 76.76);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:34:47', 'crossval', 0.910551, 'oocytes_merluccius_states_2f', 'BaseRaF', 1, 0, '{}', 0.0178087, 0.0589824, 0.00537782, 46.61);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:35:27', 'crossval', 0.76193, 'oocytes_trisopterus_nucleus_2f', 'BaseRaF', 1, 0, '{}', 0.0290605, 0.0437252, 0.00599953, 84.37);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:36:01', 'crossval', 0.922149, 'oocytes_trisopterus_states_5b', 'BaseRaF', 1, 0, '{}', 0.016058, 0.0338147, 0.0038348, 28.44);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:36:06', 'crossval', 0.87924, 'parkinsons', 'BaseRaF', 1, 0, '{}', 0.0434764, 0.00664538, 0.000956323, 18.21);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:36:50', 'crossval', 0.697005, 'pima', 'BaseRaF', 1, 0, '{}', 0.0329339, 0.0598898, 0.00405292, 179.02);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:36:54', 'crossval', 0.81136, 'pittsburg-bridges-MATERIAL', 'BaseRaF', 1, 0, '{}', 0.0721078, 0.00614998, 0.000956048, 18.21);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:36:59', 'crossval', 0.622107, 'pittsburg-bridges-REL-L', 'BaseRaF', 1, 0, '{}', 0.0836926, 0.0107519, 0.00245178, 33.92);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:37:04', 'crossval', 0.630217, 'pittsburg-bridges-SPAN', 'BaseRaF', 1, 0, '{}', 0.0855243, 0.0103792, 0.00144035, 32.74);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:37:07', 'crossval', 0.821007, 'pittsburg-bridges-T-OR-D', 'BaseRaF', 1, 0, '{}', 0.071734, 0.00451751, 0.000865693, 15.6);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:37:16', 'crossval', 0.590586, 'planning', 'BaseRaF', 1, 0, '{}', 0.0720305, 0.0149104, 0.00202668, 49.52);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:37:21', 'crossval', 0.539375, 'post-operative', 'BaseRaF', 1, 0, '{}', 0.102817, 0.00860377, 0.00125772, 28.27);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:37:25', 'crossval', 0.942518, 'seeds', 'BaseRaF', 1, 0, '{}', 0.0293366, 0.00587637, 0.000679482, 14.71);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:37:27', 'crossval', 0.678261, 'statlog-australian-credit', 'BaseRaF', 1, 0, '{}', 0.0319213, 0.00851742, 0.00101665, 1);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:38:23', 'crossval', 0.68762, 'statlog-german-credit', 'BaseRaF', 1, 0, '{}', 0.0285632, 0.0759742, 0.00988248, 118.37);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:38:33', 'crossval', 0.747605, 'statlog-heart', 'BaseRaF', 1, 0, '{}', 0.0505201, 0.01431, 0.00186931, 34.9);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:41:32', 'crossval', 0.953604, 'statlog-image', 'BaseRaF', 1, 0, '{}', 0.0428999, 0.459961, 0.209446, 91.85);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:42:14', 'crossval', 0.789572, 'statlog-vehicle', 'BaseRaF', 1, 0, '{}', 0.0290904, 0.0418569, 0.00252999, 79.05);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:42:32', 'crossval', 0.971567, 'synthetic-control', 'BaseRaF', 1, 0, '{}', 0.0148618, 0.0233277, 0.00241783, 15.44);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:42:58', 'crossval', 0.974906, 'tic-tac-toe', 'BaseRaF', 1, 0, '{}', 0.0119599, 0.0372124, 0.00723869, 21.49);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:43:10', 'crossval', 0.822601, 'vertebral-column-2clases', 'BaseRaF', 1, 0, '{}', 0.0397492, 0.016375, 0.00309965, 45.54);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:43:13', 'crossval', 0.97748, 'wine', 'BaseRaF', 1, 0, '{}', 0.020518, 0.00259591, 0.000401448, 6.86);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:43:15', 'crossval', 0.936262, 'zoo', 'BaseRaF', 1, 0, '{}', 0.0494478, 0.00416789, 0.00034269, 13.2);
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:05','crossval','0.7820799999999999','0.03608203985364464','balance-scale','cart','1','0','0.0006895732879638672','9.585512204187001e-05','{}','256.8','128.9','10.72');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:05','crossval','0.6833333333333335','0.26977356760397747','balloons','cart','1','0','0.00045167922973632813','8.314310832433152e-05','{}','11.36','6.18','3.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:05','crossval','0.9239217512808571','0.02323176886368342','breast-cancer-wisc-diag','cart','1','0','0.004026312828063965','0.0003832660375765108','{}','36.16','18.58','7.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:05','crossval','0.6914615384615383','0.07229069176397018','breast-cancer-wisc-prog','cart','1','0','0.001636524200439453','0.00016118872589738754','{}','43.2','22.1','7.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:05','crossval','0.9433556012332991','0.020857147642906682','breast-cancer-wisc','cart','1','0','0.0007448291778564453','7.952884711032617e-05','{}','57.52','29.26','8.72');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:05','crossval','0.6362613430127042','0.05493193657305148','breast-cancer','cart','1','0','0.0006400537490844726','7.148655924097657e-05','{}','164.72','82.86','15.56');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:06','crossval','0.8109128969897819','0.019011886406374308','cardiotocography-10clases','cart','1','0','0.00927929401397705','0.00032768635895336204','{}','480.84','240.92','20.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:06','crossval','0.9204613090306545','0.013845817718125228','cardiotocography-3clases','cart','1','0','0.008006572723388672','0.000581871395345929','{}','210.96','105.98','15.88');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.7253890824622532','0.06929084790257113','conn-bench-sonar-mines-rocks','cart','1','0','0.0025427818298339845','0.00023135407236547602','{}','34.16','17.58','6.44');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.712632781267847','0.046238358140227635','cylinder-bands','cart','1','0','0.0021113824844360353','0.00011878541249776847','{}','131.96','66.48','13.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.9396038504257683','0.02387579095888003','dermatology','cart','1','0','0.0007888269424438476','8.977643399734413e-05','{}','34.6','17.8','10.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.7443589743589744','0.08299708625595158','echocardiogram','cart','1','0','0.0005924892425537109','6.924993675905132e-05','{}','32.6','16.8','8.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.7989999999999999','0.08395832299420945','fertility','cart','1','0','0.0004995489120483399','6.573834179403952e-05','{}','28.84','14.92','7.16');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.6404970914859863','0.055117499856839475','haberman-survival','cart','1','0','0.0006308364868164063','6.88188831759521e-05','{}','160.92','80.96','15.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.750613676212741','0.04493113662535727','heart-hungarian','cart','1','0','0.0007546281814575195','7.599364741043959e-05','{}','83.08','42.04','9.6');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.7658064516129032','0.07293747411360528','hepatitis','cart','1','0','0.0006260824203491211','8.319413975497318e-05','{}','37.0','19.0','7.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.6639640436192161','0.03825985300800366','ilpd-indian-liver','cart','1','0','0.0016011142730712892','0.00011228560510385542','{}','186.32','93.66','18.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.8757907444668007','0.03797437861573896','ionosphere','cart','1','0','0.0031129264831542968','0.00044557483844957617','{}','40.32','20.66','9.88');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.9386666666666668','0.04389887368841153','iris','cart','1','0','0.0004957342147827149','6.869171204734163e-05','{}','15.08','8.04','5.04');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:07','crossval','0.7037','0.029644729717101474','led-display','cart','1','0','0.0006795787811279297','8.205120251226529e-05','{}','156.6','78.8','7.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:08','crossval','0.6549999999999998','0.059210338603413376','libras','cart','1','0','0.009473528861999512','0.00041687226958704435','{}','132.32','66.66','11.16');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:09','crossval','0.8352036677834599','0.030503013555880365','low-res-spect','cart','1','0','0.01599471092224121','0.0010067924507811056','{}','74.96','37.98','8.74');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:09','crossval','0.7683218390804598','0.07551790968755526','lymphography','cart','1','0','0.0005704402923583984','7.528171497046547e-05','{}','49.0','25.0','7.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:09','crossval','0.7569187176165802','0.020852411303147095','mammographic','cart','1','0','0.0009690475463867188','7.045101173454249e-05','{}','403.12','202.06','20.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:09','crossval','0.7158008658008658','0.08811757165025375','molec-biol-promoter','cart','1','0','0.000699605941772461','7.215878829362719e-05','{}','22.24','11.62','5.24');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:10','crossval','0.7768969298245614','0.043771936691364643','musk-1','cart','1','0','0.018811721801757813','0.002304830126060568','{}','75.12','38.06','12.5');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:11','crossval','0.7195667144906744','0.03068883042942922','oocytes_merluccius_nucleus_4d','cart','1','0','0.01387925148010254','0.0011049971829064531','{}','222.24','111.62','15.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:11','crossval','0.8911927307508368','0.02477313298773685','oocytes_merluccius_states_2f','cart','1','0','0.006928844451904297','0.0005358688928491198','{}','98.84','49.92','10.78');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.7257617246141836','0.029837690053299604','oocytes_trisopterus_nucleus_2f','cart','1','0','0.008334317207336427','0.0004407422815961097','{}','192.76','96.88','15.64');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.8702630156728517','0.025916263242401694','oocytes_trisopterus_states_5b','cart','1','0','0.009182934761047363','0.0004579668897568289','{}','109.12','55.06','12.56');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.8558974358974359','0.05822037527622443','parkinsons','cart','1','0','0.0010377120971679686','0.00010250798132904176','{}','24.84','12.92','5.54');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.7011722264663441','0.030849394257539655','pima','cart','1','0','0.0017403793334960938','8.937192153719244e-05','{}','218.52','109.76','14.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.8006493506493506','0.07641918889128255','pittsburg-bridges-MATERIAL','cart','1','0','0.0004854726791381836','6.648911204040945e-05','{}','33.24','17.12','7.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.6171904761904762','0.10161093599079367','pittsburg-bridges-REL-L','cart','1','0','0.0005215120315551758','7.906812606351326e-05','{}','57.72','29.36','12.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:12','crossval','0.5575438596491228','0.09592147935027655','pittsburg-bridges-SPAN','cart','1','0','0.0004979562759399414','5.785086367922486e-05','{}','55.36','28.18','10.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.8225238095238094','0.08877499647986477','pittsburg-bridges-T-OR-D','cart','1','0','0.00047728538513183596','6.632024333779442e-05','{}','26.44','13.72','5.94');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.573963963963964','0.07834935548163284','planning','cart','1','0','0.0010292387008666991','0.00011388930267583174','{}','60.56','30.78','12.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.5822222222222222','0.10554970744033704','post-operative','cart','1','0','0.00048816680908203125','6.001713576808925e-05','{}','66.32','33.66','11.24');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.9161904761904762','0.04238897730336739','seeds','cart','1','0','0.0006614398956298829','6.860318090486153e-05','{}','25.04','13.02','6.14');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.5720289855072465','0.04059031952408632','statlog-australian-credit','cart','1','0','0.0019398117065429687','0.00010038416987615177','{}','269.88','135.44','18.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.6897','0.02526677660486194','statlog-german-credit','cart','1','0','0.00219578742980957','0.000122246187143129','{}','331.92','166.46','16.42');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:13','crossval','0.7344444444444446','0.04693777803495507','statlog-heart','cart','1','0','0.0007591104507446289','8.689164261641914e-05','{}','73.68','37.34','8.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:14','crossval','0.9613419913419914','0.00934513626156175','statlog-image','cart','1','0','0.008961734771728515','0.00030301960507815595','{}','127.32','64.16','15.94');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:14','crossval','0.706384267316394','0.030533108686824795','statlog-vehicle','cart','1','0','0.0031003618240356447','0.00014451490002519648','{}','233.52','117.26','16.26');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:14','crossval','0.9023333333333332','0.02511307760244982','synthetic-control','cart','1','0','0.009293899536132813','0.0004231397357813749','{}','52.16','26.58','8.58');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:14','crossval','0.9522851221640489','0.018529859619663462','tic-tac-toe','cart','1','0','0.0008030366897583007','8.096003657351391e-05','{}','119.2','60.1','9.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:14','crossval','0.7996774193548387','0.04231712199258938','vertebral-column-2clases','cart','1','0','0.0007796287536621094','8.74108844244103e-05','{}','61.16','31.08','9.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:14','crossval','0.9015873015873015','0.0526003102936011','wine','cart','1','0','0.0006901454925537109','7.282087849628442e-05','{}','16.24','8.62','4.38');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','17:59:15','crossval','0.9555714285714286','0.044427856881917915','zoo','cart','1','0','0.00046809196472167967','5.679123427661233e-05','{}','17.96','9.48','6.8');
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'balance-scale', 0.94016, 0.021776, 0.1415, 0.052731, 35.58);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'balloons', 0.595, 0.187831, 0.00498, 0.003063, 4.4);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'breast-cancer-wisc-diag', 0.951826, 0.024727, 0.03532, 0.005958, 13.76);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'breast-cancer-wisc-prog', 0.724038, 0.072215, 0.03146, 0.007516, 21.52);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'breast-cancer-wisc', 0.967246, 0.012464, 0.04546, 0.009209, 8.36);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'breast-cancer', 0.707368, 0.052112, 0.06852, 0.012007, 23.16);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'cardiotocography-10clases', 0.830342, 0.016803, 1.3702, 0.096846, 197.52);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'cardiotocography-3clases', 0.928503, 0.012272, 0.43522, 0.086633, 91.84);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'conn-bench-sonar-mines-rocks', 0.73892, 0.06386, 0.05164, 0.006523, 25.2);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'cylinder-bands', 0.726547, 0.02963, 0.11942, 0.010942, 85.4);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'dermatology', 0.957105, 0.024117, 0.06976, 0.015317, 15.12);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'echocardiogram', 0.805527, 0.084433, 0.02236, 0.004616, 13.4);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'fertility', 0.857, 0.071421, 0.02226, 0.004617, 4.48);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'haberman-survival', 0.715024, 0.049144, 0.02144, 0.009014, 4.4);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'heart-hungarian', 0.785026, 0.048182, 0.06456, 0.007585, 22.12);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'hepatitis', 0.761935, 0.058025, 0.03592, 0.006381, 16.6);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'ilpd-indian-liver', 0.690339, 0.04248, 0.05346, 0.011814, 14.24);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'ionosphere', 0.891984, 0.033857, 0.04542, 0.004916, 23.64);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'iris', 0.946, 0.035207, 0.01352, 0.004031, 6.88);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'led-display', 0.7209, 0.028665, 1.23404, 0.092302, 12.6);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'libras', 0.659722, 0.062685, 1.03062, 0.081658, 88.24);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'low-res-spect', 0.838295, 0.038928, 0.33284, 0.030593, 45.76);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'lymphography', 0.778552, 0.078755, 0.0494, 0.009974, 25.28);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'mammographic', 0.821539, 0.024023, 0.08698, 0.01141, 18.84);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'molec-biol-promoter', 0.744026, 0.091065, 0.02578, 0.004876, 16.0);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'musk-1', 0.82693, 0.046843, 0.33042, 0.025473, 50.72);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'oocytes_merluccius_nucleus_4d', 0.74353, 0.034123, 0.23788, 0.026087, 77.32);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'oocytes_merluccius_states_2f', 0.902056, 0.021722, 0.11994, 0.01379, 38.2);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'oocytes_trisopterus_nucleus_2f', 0.753968, 0.034471, 0.20024, 0.051445, 57.12);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'oocytes_trisopterus_states_5b', 0.898354, 0.02595, 0.20446, 0.048535, 44.6);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'parkinsons', 0.844615, 0.051642, 0.02874, 0.005966, 18.04);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'pima', 0.750526, 0.026704, 0.07096, 0.017737, 21.56);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'pittsburg-bridges-MATERIAL', 0.85026, 0.073586, 0.04388, 0.010609, 7.12);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'pittsburg-bridges-REL-L', 0.645048, 0.103969, 0.07048, 0.013556, 13.48);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'pittsburg-bridges-SPAN', 0.614912, 0.119086, 0.04832, 0.009603, 11.04);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'pittsburg-bridges-T-OR-D', 0.838333, 0.077644, 0.02364, 0.004886, 6.72);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'planning', 0.711381, 0.050453, 0.00722, 0.003517, 1.08);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'post-operative', 0.701111, 0.086702, 0.04534, 0.011025, 1.88);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'seeds', 0.909048, 0.048723, 0.02546, 0.006287, 13.08);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'statlog-australian-credit', 0.66029, 0.03596, 0.16736, 0.023561, 85.16);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'statlog-german-credit', 0.7244, 0.028296, 0.2316, 0.010757, 128.48);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'statlog-heart', 0.80963, 0.047725, 0.06276, 0.007703, 15.28);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'statlog-image', 0.967619, 0.010865, 0.34582, 0.037613, 69.68);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'statlog-vehicle', 0.732255, 0.030612, 0.28826, 0.029068, 92.72);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'synthetic-control', 0.922333, 0.030661, 0.15844, 0.017003, 35.24);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'tic-tac-toe', 0.983295, 0.007889, 0.06746, 0.009009, 3.0);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'vertebral-column-2clases', 0.852258, 0.044507, 0.02058, 0.006366, 9.16);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'wine', 0.978587, 0.020819, 0.00758, 0.002079, 4.32);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-11', '19:54:45', 'crossval', 'j48svm', 'zoo', 0.92381, 0.046715, 0.08642, 0.0124, 14.48);
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.919199988","0.022928468998468485","balance-scale","oc1","1","0","0.15758534","0.022345369377952624","{}","19.4","6.2","7.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.619999972","0.2609071998773636","balloons","oc1","1","0","0.00030844","0.0002348338674597905","{}","2.2","1.0","2.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.933477046","0.026311682939621855","breast-cancer-wisc-diag","oc1","1","0","0.4406648","0.06350629207104005","{}","8.0","3.0","4.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.709999984","0.07955812149382789","breast-cancer-wisc-prog","oc1","1","0","0.16363574","0.036606637163787994","{}","11.4","4.2","5.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.94019421","0.02100409938015746","breast-cancer-wisc","oc1","1","0","0.19944314","0.029906694694523308","{}","11.2","4.0","6.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.64972776","0.06789902609753301","breast-cancer","oc1","1","0","0.09331238","0.01389738530376216","{}","23.0","6.4","8.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.795527874","0.019194464349696225","cardiotocography-10clases","oc1","1","0","4.3503065","0.27225653156770274","{}","122.4","41.4","13.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.899811318","0.016266190571653297","cardiotocography-3clases","oc1","1","0","2.42902948","0.40715254316028454","{}","52.4","18.0","10.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.710798238","0.07164378928650933","conn-bench-sonar-mines-rocks","oc1","1","0","0.10360458","0.005299372073276266","{}","10.8","4.0","5.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.671059568","0.04175041919191456","cylinder-bands","oc1","1","0","0.47492386000000003","0.08216321474793141","{}","36.8","12.6","9.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.916086654","0.04339652757793572","dermatology","oc1","1","0","0.11251114","0.0159243193863592","{}","5.4","2.8","3.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.74829059","0.086689318067258","echocardiogram","oc1","1","0","0.02473912","0.005133546359993653","{}","7.6","2.4","5.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.793","0.08018473568413563","fertility","oc1","1","0","0.01644868","0.004574846246730538","{}","5.8","2.0","4.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.651634068","0.05782825764577645","haberman-survival","oc1","1","0","0.0631877","0.0072805839422958605","{}","25.4","6.6","8.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.758298106","0.04751287557647803","heart-hungarian","oc1","1","0","0.08981114","0.01770158774385703","{}","16.0","4.8","6.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.756774218","0.07633927816039446","hepatitis","oc1","1","0","0.03985772","0.011435038445345543","{}","8.0","2.4","4.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.66013908","0.050216248258669494","ilpd-indian-liver","oc1","1","0","0.30552824","0.029610812070800168","{}","38.6","11.4","10.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.879742456","0.04078499717935586","ionosphere","oc1","1","0","0.2697913","0.03446318475946914","{}","8.6","2.4","6.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.947999964","0.047217354202340585","iris","oc1","1","0","0.01697568","0.003151379752503623","{}","3.6","1.0","3.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.6993","0.030572930537203204","led-display","oc1","1","0","0.29797592","0.012956706889562675","{}","62.6","23.4","8.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.644999996","0.06212313913693778","libras","oc1","1","0","0.5830844","0.10705255659187753","{}","50.2","18.0","8.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.824671134","0.034387913920443644","low-res-spect","oc1","1","0","1.21806182","0.1894391624213043","{}","32.2","11.4","7.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.734633624","0.07505967701227854","lymphography","oc1","1","0","0.03662084","0.006085540069136117","{}","7.2","2.6","4.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.768805056","0.042451008108027544","mammographic","oc1","1","0","0.40330064","0.0304541497247845","{}","84.0","21.2","12.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.73480519","0.07929681982000171","molec-biol-promoter","oc1","1","0","0.00308648","0.00024732926413580575","{}","9.8","3.4","4.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.77640132","0.04136666906353273","musk-1","oc1","1","0","0.75021326","0.05405970914733343","{}","28.8","9.4","11.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.74319913","0.038637374982475575","oocytes_merluccius_nucleus_4d","oc1","1","0","1.4739426","0.20908235653650248","{}","70.2","21.4","11.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.889223286","0.021904213371842132","oocytes_merluccius_states_2f","oc1","1","0","1.0546264","0.18662517073458842","{}","32.6","9.6","9.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.747697088","0.03432152551574619","oocytes_trisopterus_nucleus_2f","oc1","1","0","1.0034749","0.10601749965660753","{}","52.8","15.6","11.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.86392976","0.02062502994634808","oocytes_trisopterus_states_5b","oc1","1","0","1.3526446","0.20447791710418342","{}","38.4","13.0","12.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.86564104","0.0549597058415768","parkinsons","oc1","1","0","0.0899414","0.01691889924773778","{}","6.2","2.4","4.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.693026632","0.03464965512793265","pima","oc1","1","0","0.3920624","0.03647972198414917","{}","50.6","15.4","9.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.8102597420000001","0.08791120411801688","pittsburg-bridges-MATERIAL","oc1","1","0","0.01630412","0.003393762619866039","{}","6.2","2.4","3.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.604956518","0.12099535114803797","pittsburg-bridges-REL-L","oc1","1","0","0.0246469","0.0034962164987486755","{}","11.8","3.6","7.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.579333326","0.096773599093883","pittsburg-bridges-SPAN","oc1","1","0","0.01922252","0.0027835986855954974","{}","11.8","4.0","5.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.831545454","0.08260500811202823","pittsburg-bridges-T-OR-D","oc1","1","0","0.01537292","0.004610019216569803","{}","9.2","2.8","5.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.5669882980000001","0.09819126087918144","planning","oc1","1","0","0.07031054","0.012096526938247818","{}","16.0","5.2","7.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.542222202","0.1277555874609372","post-operative","oc1","1","0","0.01706538","0.004090332304698133","{}","13.8","4.0","6.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.932380962","0.03674729708467471","seeds","oc1","1","0","0.03468252","0.003911751939257616","{}","4.8","2.2","3.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.573913046","0.058026443678065934","statlog-australian-credit","oc1","1","0","0.41469248000000003","0.04788899725544737","{}","50.4","15.0","8.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.6874","0.038028453364633716","statlog-german-credit","oc1","1","0","0.939049","0.1432174301094069","{}","62.4","18.0","13.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.749259256","0.05822632907936435","statlog-heart","oc1","1","0","0.08672722","0.010369955067090184","{}","12.0","4.4","5.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.950129852","0.009469844490506888","statlog-image","oc1","1","0","2.34150554","0.1429278477253342","{}","43.8","16.2","11.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.70849635","0.03707889637712277","statlog-vehicle","oc1","1","0","0.85610944","0.06409603741808388","{}","62.0","18.6","11.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.863166664","0.037233171992205105","synthetic-control","oc1","1","0","1.40889312","0.08426795206246342","{}","18.8","6.4","6.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.918490308","0.03719306955411836","tic-tac-toe","oc1","1","0","0.3742426","0.06761291997684997","{}","20.4","7.2","8.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.815161292","0.047132057674445754","vertebral-column-2clases","oc1","1","0","0.07522561999999999","0.00795117969399022","{}","14.0","4.0","6.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.916165406","0.04659011245811016","wine","oc1","1","0","0.0363267","0.005601708344563382","{}","4.4","1.6","3.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","13:43:28","crossval","0.890952386","0.07664919395809533","zoo","oc1","1","0","0.01431152","0.0020010060453355427","{}","6.4","2.8","3.8");
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:46:29','crossval','0.97056','0.015046806970251203','balance-scale','stree','1','0','0.013521394729614257','0.001112126583761057','{"C": 10000.0, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','7.0','4.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:46:29','crossval','0.86','0.28501461950807594','balloons','stree','1','0','0.0008047676086425781','7.747968735711355e-05','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:46:29','crossval','0.9727635460332246','0.017313211324042233','breast-cancer-wisc-diag','stree','1','0','0.003807716369628906','0.0006386760066155371','{"C": 0.2, "max_iter": 10000.0}','3.24','2.12','2.12');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:46:30','crossval','0.811128205128205','0.05846009894763935','breast-cancer-wisc-prog','stree','1','0','0.0076753473281860355','0.0014811406636601784','{"C": 0.2, "max_iter": 10000.0}','5.84','3.42','3.24');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:46:31','crossval','0.9666608427543679','0.013942149556406368','breast-cancer-wisc','stree','1','0','0.006522173881530762','0.0007265793136760184','{}','8.88','4.94','4.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:46:32','crossval','0.7342105263157894','0.047977358056609264','breast-cancer','stree','1','0','0.023475041389465334','0.005844474035263798','{}','21.72','11.36','5.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:49:08','crossval','0.7914874344103837','0.019208232849977837','cardiotocography-10clases','stree','1','0','3.105821647644043','0.33921834683311924','{}','160.76','80.88','22.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:01','crossval','0.9006125379729356','0.015400444429719303','cardiotocography-3clases','stree','1','0','1.052277488708496','0.1387678273158704','{}','47.68','24.34','8.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:01','crossval','0.7555284552845529','0.06784237376406048','conn-bench-sonar-mines-rocks','stree','1','0','0.011576991081237793','0.0034114810587077956','{}','6.08','3.54','2.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:17','crossval','0.7150485436893205','0.036764625484378664','cylinder-bands','stree','1','0','0.301143479347229','0.10977312701100078','{}','26.2','13.6','6.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:19','crossval','0.9718326545723807','0.020688266783058316','dermatology','stree','1','0','0.03775376796722412','0.010726022978669193','{"C": 55, "max_iter": 10000.0}','11.0','6.0','6.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:19','crossval','0.8147578347578346','0.09980783640455321','echocardiogram','stree','1','0','0.003334488868713379','0.0009646863757380854','{"C": 7, "gamma": 0.1, "kernel": "poly", "max_features": "auto", "max_iter": 10000.0}','7.0','4.0','3.54');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:20','crossval','0.88','0.0547722557505166','fertility','stree','1','0','0.0009027099609375','8.964464461243442e-05','{"C": 0.05, "max_features": "auto", "max_iter": 10000.0}','1.0','1.0','1.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:21','crossval','0.735637228979376','0.04346136548997221','haberman-survival','stree','1','0','0.017161059379577636','0.0033494475722209253','{}','23.4','12.2','5.98');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:21','crossval','0.8275219170075979','0.05052827428335672','heart-hungarian','stree','1','0','0.00493945598602295','0.0007381982270336696','{"C": 0.05, "max_iter": 10000.0}','10.16','5.58','4.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:21','crossval','0.8245161290322581','0.073887165430815','hepatitis','stree','1','0','0.0021533966064453125','0.000133715155086226','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:23','crossval','0.7234983790156204','0.038488555090414656','ilpd-indian-liver','stree','1','0','0.03452431678771973','0.015788964049342803','{}','16.04','8.52','5.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:24','crossval','0.9532756539235413','0.02385368651558141','ionosphere','stree','1','0','0.008817219734191894','0.0008431079237652102','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','3.16','2.08','2.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:24','crossval','0.9653333333333333','0.03194439613522917','iris','stree','1','0','0.003573422431945801','0.00040050869886675575','{}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:36','crossval','0.7030000000000001','0.029120439557122058','led-display','stree','1','0','0.22210572719573973','0.011692202574353189','{}','47.16','24.08','17.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:18','crossval','0.7886111111111112','0.05169130237032862','libras','stree','1','0','0.8417143678665161','0.08309663340210176','{"C": 0.08, "max_iter": 10000.0}','82.28','41.64','28.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:41','crossval','0.8837824016928232','0.032459291468616217','low-res-spect','stree','1','0','0.44630089282989505','0.041182171968385035','{"C": 0.05, "max_iter": 10000.0}','27.4','14.2','10.74');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:41','crossval','0.8350344827586206','0.05906491141171708','lymphography','stree','1','0','0.005394654273986816','0.0007543650042051026','{"C": 0.05, "max_iter": 10000.0}','9.04','5.02','4.48');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:43','crossval','0.8191504749568224','0.02225166121455892','mammographic','stree','1','0','0.022793102264404296','0.0032853343533892692','{}','7.4','4.2','4.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:43','crossval','0.7670562770562769','0.0910922603260364','molec-biol-promoter','stree','1','0','0.0013027286529541016','0.00010577216589905959','{"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:44','crossval','0.9163881578947368','0.027520787090975468','musk-1','stree','1','0','0.011636729240417481','0.00033184522869391455','{"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:55','crossval','0.8351252989000477','0.02209607725442717','oocytes_merluccius_nucleus_4d','stree','1','0','0.20889493942260742','0.027057339603723553','{"C": 8.25, "gamma": 0.1, "kernel": "poly"}','10.52','5.76','4.42');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:04','crossval','0.9153653754184602','0.02039598729685399','oocytes_merluccius_states_2f','stree','1','0','0.18219809532165526','0.029426733145664036','{}','18.04','9.52','5.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:41','crossval','0.8009860085269921','0.0218449453461112','oocytes_trisopterus_nucleus_2f','stree','1','0','0.7171128463745117','0.20960829628292243','{}','29.88','15.44','7.38');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:44','crossval','0.9222488440521228','0.017920300227679892','oocytes_trisopterus_states_5b','stree','1','0','0.054504685401916504','0.008530142602127649','{"C": 0.11, "max_iter": 10000.0}','7.44','4.22','3.6');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:44','crossval','0.882051282051282','0.04783271309276316','parkinsons','stree','1','0','0.007950482368469238','0.001767609310762367','{}','8.48','4.74','3.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:48','crossval','0.7666513878278585','0.02972027059401136','pima','stree','1','0','0.07500476360321046','0.021399517244051796','{}','17.4','9.2','5.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:48','crossval','0.8677489177489177','0.07122264688853039','pittsburg-bridges-MATERIAL','stree','1','0','0.002933182716369629','0.00033146879359994565','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','5.16','3.08','3.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:49','crossval','0.6322380952380952','0.1012105974392682','pittsburg-bridges-REL-L','stree','1','0','0.013631119728088378','0.0032296410340452203','{}','16.32','8.66','5.96');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:50','crossval','0.659766081871345','0.11650021102545294','pittsburg-bridges-SPAN','stree','1','0','0.005242562294006348','0.0015882216217075937','{"C": 0.05, "max_iter": 10000.0}','9.84','5.42','4.58');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:50','crossval','0.8616190476190478','0.06937466062918769','pittsburg-bridges-T-OR-D','stree','1','0','0.0029562711715698242','0.0005785937838405856','{}','4.56','2.78','2.68');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:50','crossval','0.7352702702702704','0.06697755238925641','planning','stree','1','0','0.003047499656677246','0.0001722659683748065','{"C": 7, "gamma": 10.0, "kernel": "rbf", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:51','crossval','0.711111111111111','0.07535922203472521','post-operative','stree','1','0','0.001872701644897461','0.00048197705375967875','{"C": 55, "degree": 5, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','2.64','1.82','1.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:52','crossval','0.9528571428571427','0.0279658035429067','seeds','stree','1','0','0.02034916400909424','0.005180647692160359','{"C": 10000.0, "max_iter": 10000.0}','9.88','5.44','4.44');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:52','crossval','0.6782608695652174','0.03904983647915211','statlog-australian-credit','stree','1','0','0.0020533704757690428','0.0008316195354329154','{"C": 0.05, "max_features": "auto", "max_iter": 10000.0}','1.32','1.16','1.16');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:53:07','crossval','0.7625','0.02718915224864506','statlog-german-credit','stree','1','0','0.29075406074523924','0.0653151725094473','{}','21.24','11.12','6.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:53:09','crossval','0.8229629629629629','0.044003990341567836','statlog-heart','stree','1','0','0.013892254829406737','0.0032366364424029005','{}','14.56','7.78','5.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:56:43','crossval','0.9559307359307361','0.00956073126474503','statlog-image','stree','1','0','4.275844583511352','0.20036233250877256','{"C": 7, "max_iter": 10000.0}','36.92','18.96','10.8');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:56:57','crossval','0.7930281935259312','0.03010396812322711','statlog-vehicle','stree','1','0','0.2788329839706421','0.03921726415133217','{}','23.88','12.44','7.06');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:07','crossval','0.9500000000000002','0.025385910352879692','synthetic-control','stree','1','0','0.20518446922302247','0.04079304776769676','{"C": 0.55, "max_iter": 10000.0}','12.48','6.74','6.5');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:08','crossval','0.9844442626527051','0.008387465200358178','tic-tac-toe','stree','1','0','0.01230151653289795','0.00042372790162746484','{"C": 0.2, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:09','crossval','0.8529032258064515','0.04088510843291576','vertebral-column-2clases','stree','1','0','0.005768327713012695','0.0009103315854016714','{}','6.04','3.52','3.34');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:09','crossval','0.9791587301587302','0.022426953738041516','wine','stree','1','0','0.0019740962982177732','0.00013774522315022615','{"C": 0.55, "max_iter": 10000.0}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:10','crossval','0.9575238095238094','0.04546150348723332','zoo','stree','1','0','0.005562210083007812','0.000230105620262085','{"C": 0.1, "max_iter": 10000.0}','13.04','7.02','7.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:30:56','crossval','0.91072','0.024908665158936163','balance-scale','stree_default','1','0','0.019864988327026368','0.005311145694314984','{}','26.12','13.56','7.94');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:30:56','crossval','0.6533333333333333','0.26265736024122543','balloons','stree_default','1','0','0.0012636518478393555','0.0003839628290468569','{}','3.56','2.28','2.14');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:30:57','crossval','0.9688976866946127','0.01773444539448386','breast-cancer-wisc-diag','stree_default','1','0','0.007150249481201172','0.0016377141873886716','{}','5.96','3.48','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:30:58','crossval','0.802051282051282','0.05416071124900435','breast-cancer-wisc-prog','stree_default','1','0','0.029538917541503906','0.007008422267557801','{}','7.08','4.04','3.2');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:30:59','crossval','0.9666608427543679','0.013942149556406368','breast-cancer-wisc','stree_default','1','0','0.0065635013580322265','0.0007658882931610367','{}','8.88','4.94','4.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:31:00','crossval','0.7342105263157894','0.047977358056609264','breast-cancer','stree_default','1','0','0.023663177490234374','0.005889234489513094','{}','21.72','11.36','5.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:33:35','crossval','0.7914874344103837','0.019208232849977837','cardiotocography-10clases','stree_default','1','0','3.090631532669067','0.3387903752212881','{}','160.76','80.88','22.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:28','crossval','0.9006125379729356','0.015400444429719303','cardiotocography-3clases','stree_default','1','0','1.0601496076583863','0.14325180508229407','{}','47.68','24.34','8.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:28','crossval','0.7555284552845529','0.06784237376406048','conn-bench-sonar-mines-rocks','stree_default','1','0','0.011579136848449707','0.00341250618836713','{}','6.08','3.54','2.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:44','crossval','0.7150485436893205','0.036764625484378664','cylinder-bands','stree_default','1','0','0.30212012767791746','0.10934716780909427','{}','26.2','13.6','6.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:44','crossval','0.9660866345797853','0.019980319019448398','dermatology','stree_default','1','0','0.01325237274169922','0.0007395164690847315','{}','11.04','6.02','6.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:45','crossval','0.8088319088319088','0.07043262872188867','echocardiogram','stree_default','1','0','0.0066650390625','0.0023358645746952953','{}','9.56','5.28','4.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:45','crossval','0.866','0.06199999999999998','fertility','stree_default','1','0','0.0023670434951782227','0.0009980658354088814','{}','2.64','1.82','1.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:46','crossval','0.735637228979376','0.04346136548997221','haberman-survival','stree_default','1','0','0.0171917724609375','0.003355602780295237','{}','23.4','12.2','5.98');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:47','crossval','0.8176738749269432','0.051167624996413454','heart-hungarian','stree_default','1','0','0.01708240032196045','0.0029564347145732655','{}','13.6','7.3','4.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:47','crossval','0.7961290322580646','0.07196946976714497','hepatitis','stree_default','1','0','0.008677120208740235','0.002380409189429096','{}','11.48','6.24','4.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:49','crossval','0.7234983790156204','0.038488555090414656','ilpd-indian-liver','stree_default','1','0','0.034884033203125','0.015866334240149157','{}','16.04','8.52','5.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:50','crossval','0.866056338028169','0.03692959851294158','ionosphere','stree_default','1','0','0.019029245376586915','0.004317571745728723','{}','8.52','4.76','3.72');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:50','crossval','0.9653333333333333','0.03194439613522917','iris','stree_default','1','0','0.003518204689025879','0.0004098315930949245','{}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:35:02','crossval','0.7030000000000001','0.029120439557122058','led-display','stree_default','1','0','0.22233974933624268','0.011182548164383388','{}','47.16','24.08','17.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:39:05','crossval','0.7477777777777778','0.0560643369401905','libras','stree_default','1','0','4.865676302909851','0.47840338635968166','{}','55.4','28.2','23.92');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:39:46','crossval','0.8531017457238583','0.033792639911444204','low-res-spect','stree_default','1','0','0.8182121849060059','0.11291183901499681','{}','23.16','12.08','10.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:39:47','crossval','0.7737931034482757','0.07671137265195546','lymphography','stree_default','1','0','0.013612604141235352','0.003139717110476821','{}','14.84','7.92','5.4');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:39:48','crossval','0.8191504749568224','0.02225166121455892','mammographic','stree_default','1','0','0.022927536964416503','0.003290897393496247','{}','7.4','4.2','4.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:39:48','crossval','0.7644155844155843','0.08338291660335592','molec-biol-promoter','stree_default','1','0','0.001444830894470215','0.00014076923765956003','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:40:01','crossval','0.8434627192982457','0.03244165965785046','musk-1','stree_default','1','0','0.25656685829162595','0.05020365843968228','{}','6.72','3.86','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:41:18','crossval','0.8106571018651363','0.024604779621598665','oocytes_merluccius_nucleus_4d','stree_default','1','0','1.5378276205062866','0.2468135308918263','{}','15.84','8.42','4.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:41:27','crossval','0.9153653754184602','0.02039598729685399','oocytes_merluccius_states_2f','stree_default','1','0','0.18091399669647218','0.029502163272774738','{}','18.04','9.52','5.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:03','crossval','0.8009860085269921','0.0218449453461112','oocytes_trisopterus_nucleus_2f','stree_default','1','0','0.7164298534393311','0.2084839053004804','{}','29.88','15.44','7.38');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:20','crossval','0.9166552573109951','0.019693883891024146','oocytes_trisopterus_states_5b','stree_default','1','0','0.3459020614624023','0.09524429287640802','{}','9.36','5.18','4.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:21','crossval','0.882051282051282','0.04783271309276316','parkinsons','stree_default','1','0','0.007840580940246582','0.0017632949115253616','{}','8.48','4.74','3.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:25','crossval','0.7666513878278585','0.02972027059401136','pima','stree_default','1','0','0.07511039257049561','0.021561442866608594','{}','17.4','9.2','5.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:25','crossval','0.7912554112554111','0.07027823545018341','pittsburg-bridges-MATERIAL','stree_default','1','0','0.006921205520629883','0.0011751542849896034','{}','12.0','6.5','4.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:26','crossval','0.6322380952380952','0.1012105974392682','pittsburg-bridges-REL-L','stree_default','1','0','0.01353963851928711','0.003306487868988261','{}','16.32','8.66','5.96');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:26','crossval','0.6302339181286549','0.0968859726336612','pittsburg-bridges-SPAN','stree_default','1','0','0.008255934715270996','0.0018424861643255193','{}','13.44','7.22','5.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:26','crossval','0.8616190476190478','0.06937466062918769','pittsburg-bridges-T-OR-D','stree_default','1','0','0.0029778480529785156','0.0006115322019013844','{}','4.56','2.78','2.68');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:27','crossval','0.7045495495495495','0.07529086255485805','planning','stree_default','1','0','0.010014057159423828','0.004737698753818694','{}','3.96','2.48','2.26');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:27','crossval','0.6755555555555555','0.08982836858403438','post-operative','stree_default','1','0','0.005605654716491699','0.0019141229910884588','{}','3.72','2.36','2.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:28','crossval','0.9490476190476191','0.03719471349557811','seeds','stree_default','1','0','0.005241894721984863','0.0005228452061281181','{}','6.6','3.8','3.52');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:41','crossval','0.6672463768115943','0.03855835164826872','statlog-australian-credit','stree_default','1','0','0.2689080286026001','0.16238507433069835','{}','11.04','6.02','4.48');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:56','crossval','0.7625','0.02718915224864506','statlog-german-credit','stree_default','1','0','0.2915413522720337','0.06454788799481548','{}','21.24','11.12','6.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:56','crossval','0.8229629629629629','0.044003990341567836','statlog-heart','stree_default','1','0','0.013746895790100098','0.0031129302775881923','{}','14.56','7.78','5.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:21','crossval','0.9526406926406926','0.007727484930453563','statlog-image','stree_default','1','0','1.692215886116028','0.3964670031166799','{}','25.48','13.24','9.7');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:35','crossval','0.7930281935259312','0.03010396812322711','statlog-vehicle','stree_default','1','0','0.27649492740631104','0.038948109576073045','{}','23.88','12.44','7.06');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:53','crossval','0.9388333333333333','0.03007444467022163','synthetic-control','stree_default','1','0','0.3608403301239014','0.07230542862455751','{}','12.68','6.84','6.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:54','crossval','0.983296247818499','0.008356787795559038','tic-tac-toe','stree_default','1','0','0.013578710556030273','0.0017732519894935886','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:54','crossval','0.8529032258064515','0.04088510843291576','vertebral-column-2clases','stree_default','1','0','0.005812129974365234','0.0009045807200136774','{}','6.04','3.52','3.34');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:54','crossval','0.9758095238095238','0.024493992249868316','wine','stree_default','1','0','0.0020058393478393556','0.0001384457191349272','{}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:55','crossval','0.9476190476190477','0.04241838902989076','zoo','stree_default','1','0','0.007672553062438965','0.00038774200066752967','{}','13.0','7.0','7.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:54','crossval','0.92128','0.031368162203100125','balance-scale','wodt','1','0','0.20405818462371828','0.022571956954535153','{}','75.52','38.26','9.7');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:54','crossval','0.6783333333333331','0.2527680095792715','balloons','wodt','1','0','0.004954948425292969','0.0019387191705256103','{}','4.84','2.92','2.88');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:58','crossval','0.9659043626766031','0.014333296217523984','breast-cancer-wisc-diag','wodt','1','0','0.06464197635650634','0.012108764657414138','{}','14.72','7.86','6.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:58:01','crossval','0.707551282051282','0.06763805250945308','breast-cancer-wisc-prog','wodt','1','0','0.0692945384979248','0.008961664455714191','{}','37.04','19.02','7.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:58:07','crossval','0.9423514902363824','0.01770754168958359','breast-cancer-wisc','wodt','1','0','0.12495562553405762','0.016810640540965177','{}','33.48','17.24','8.16');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:58:18','crossval','0.6632486388384754','0.04925109121345335','breast-cancer','wodt','1','0','0.21800825119018555','0.021381624898607857','{}','415.64','208.32','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:59:34','crossval','0.7793040596520296','0.019900281966912726','cardiotocography-10clases','wodt','1','0','1.493107976913452','0.12734666329135594','{}','638.16','319.58','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:13','crossval','0.9014120961060482','0.016029994123889068','cardiotocography-3clases','wodt','1','0','0.7748759126663208','0.07421457240370866','{}','325.12','163.06','45.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:16','crossval','0.804123112659698','0.05815664564095989','conn-bench-sonar-mines-rocks','wodt','1','0','0.04883401870727539','0.006180203515766835','{}','21.88','11.44','5.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:25','crossval','0.7025452122596612','0.03710659493721448','cylinder-bands','wodt','1','0','0.17872836589813232','0.015664783357032367','{}','75.84','38.42','9.72');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:28','crossval','0.9641873380229546','0.016641323865204168','dermatology','wodt','1','0','0.05750450611114502','0.005299417085917453','{}','15.28','8.14','6.22');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:30','crossval','0.7423646723646725','0.08024332218287807','echocardiogram','wodt','1','0','0.047157793045043944','0.007633892115377762','{}','28.64','14.82','7.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:32','crossval','0.804','0.06770524351924304','fertility','wodt','1','0','0.04045381069183349','0.00841135126199588','{}','78.04','39.52','35.06');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:49','crossval','0.6640084611316763','0.048474808452857704','haberman-survival','wodt','1','0','0.32871198177337646','0.02643309032590381','{}','424.36','212.68','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:54','crossval','0.761928696668615','0.052100433118643194','heart-hungarian','wodt','1','0','0.11314688682556152','0.013030431455297935','{}','57.68','29.34','9.2');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:56','crossval','0.7683870967741936','0.0837940093572466','hepatitis','wodt','1','0','0.03757859230041504','0.005527666828601125','{}','20.32','10.66','6.16');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:01:19','crossval','0.6778588269967581','0.035631066332769044','ilpd-indian-liver','wodt','1','0','0.44293310165405275','0.02318993516217465','{}','212.28','106.64','16.96');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:01:23','crossval','0.8794607645875252','0.03858080219956032','ionosphere','wodt','1','0','0.08169928550720215','0.014760393199562556','{}','24.6','12.8','6.9');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:01:24','crossval','0.9466666666666668','0.036514837167011066','iris','wodt','1','0','0.03406909465789795','0.007792910577112206','{}','13.96','7.48','6.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:02:57','crossval','0.7047','0.02916179006851258','led-display','wodt','1','0','1.8177833700180053','0.03849057792153148','{}','4140.2','2070.6','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:03:11','crossval','0.7755555555555556','0.05481168659742484','libras','wodt','1','0','0.27989047050476074','0.016119343361462618','{}','117.28','59.14','11.56');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:03:22','crossval','0.855533415623347','0.03222774975371431','low-res-spect','wodt','1','0','0.22004926681518555','0.02051121303758952','{}','75.48','38.24','9.38');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:03:24','crossval','0.7800459770114943','0.07599005574288029','lymphography','wodt','1','0','0.04338667392730713','0.007169807154844494','{}','22.76','11.88','6.56');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:04:31','crossval','0.7579566062176167','0.024906146679797566','mammographic','wodt','1','0','1.3191192150115967','0.06377484804240535','{}','2984.32','1492.66','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:04:32','crossval','0.778917748917749','0.07679562169715945','molec-biol-promoter','wodt','1','0','0.01713259220123291','0.004228067986730051','{}','8.8','4.9','3.88');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:04:39','crossval','0.8411776315789474','0.03449014306500045','musk-1','wodt','1','0','0.13893579959869384','0.015959383200174378','{}','44.52','22.76','7.96');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:05:13','crossval','0.7348373983739838','0.026142104476547204','oocytes_merluccius_nucleus_4d','wodt','1','0','0.6668573570251465','0.03862946115196275','{}','264.52','132.76','16.5');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:05:28','crossval','0.902934481109517','0.022147306742109327','oocytes_merluccius_states_2f','wodt','1','0','0.29534827709197997','0.02408871205114048','{}','95.84','48.42','12.06');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:05:54','crossval','0.7491436978322225','0.03602040782195508','oocytes_trisopterus_nucleus_2f','wodt','1','0','0.5095158767700195','0.026787968415913528','{}','208.64','104.82','14.8');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:11','crossval','0.8888062211013031','0.021400267111632645','oocytes_trisopterus_states_5b','wodt','1','0','0.3408918809890747','0.02459737016164071','{}','102.32','51.66','12.14');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:13','crossval','0.9005128205128206','0.05144589211891057','parkinsons','wodt','1','0','0.03755650043487549','0.0055346813440645196','{}','17.56','9.28','6.54');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:35','crossval','0.6881622952211188','0.035111562938444044','pima','wodt','1','0','0.4496764326095581','0.02532156272811432','{}','213.52','107.26','13.4');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:38','crossval','0.7994805194805195','0.07743566315819515','pittsburg-bridges-MATERIAL','wodt','1','0','0.05021570205688477','0.009410007593921434','{}','77.2','39.1','32.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:42','crossval','0.6184285714285714','0.08544243928422808','pittsburg-bridges-REL-L','wodt','1','0','0.0856327199935913','0.01206977657598635','{}','102.44','51.72','33.62');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:47','crossval','0.5871929824561403','0.11611933933595711','pittsburg-bridges-SPAN','wodt','1','0','0.08850471019744872','0.01288454549497007','{}','159.64','80.32','47.52');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:49','crossval','0.8375238095238096','0.07413072965623015','pittsburg-bridges-T-OR-D','wodt','1','0','0.04482726097106934','0.010121781217995826','{}','77.08','39.04','33.58');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:55','crossval','0.5682732732732733','0.08743812057354583','planning','wodt','1','0','0.10776758670806885','0.009435431139709126','{}','65.68','33.34','9.6');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:07:01','crossval','0.5566666666666666','0.10627822791331752','post-operative','wodt','1','0','0.12359104156494141','0.019255192613378998','{}','394.28','197.64','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:07:03','crossval','0.9290476190476191','0.04218789629863413','seeds','wodt','1','0','0.05114206314086914','0.007995720238256614','{}','21.04','11.02','6.38');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:07:28','crossval','0.5617391304347826','0.03785467296768582','statlog-australian-credit','wodt','1','0','0.4804474115371704','0.023263094298249142','{}','249.8','125.4','15.34');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:07:49','crossval','0.6824999999999999','0.021430118991736812','statlog-german-credit','wodt','1','0','0.4173238658905029','0.0237067092245993','{}','167.52','84.26','12.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:07:53','crossval','0.7777777777777779','0.04757493547653752','statlog-heart','wodt','1','0','0.08699676513671875','0.011156491677164773','{}','42.04','21.52','8.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:08:32','crossval','0.9534199134199135','0.011148678082818688','statlog-image','wodt','1','0','0.7622523880004883','0.052632139624214015','{}','153.48','77.24','14.96');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:08:58','crossval','0.7296756004176818','0.03014045315193517','statlog-vehicle','wodt','1','0','0.5175681924819946','0.024014845715041234','{}','209.84','105.42','15.54');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:09:03','crossval','0.9785','0.01453826368969525','synthetic-control','wodt','1','0','0.08846463680267334','0.008108597144269578','{}','14.16','7.58','4.92');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:09:14','crossval','0.9422676701570681','0.03344804236125215','tic-tac-toe','wodt','1','0','0.22330509185791014','0.053312060008532364','{}','55.28','28.14','8.68');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:09:21','crossval','0.8070967741935482','0.05624015696050971','vertebral-column-2clases','wodt','1','0','0.1441294479370117','0.015495407104435137','{}','68.68','34.84','12.62');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:09:22','crossval','0.967920634920635','0.028208046326376822','wine','wodt','1','0','0.01987697124481201','0.0038291950882230197','{}','6.28','3.64','3.32');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:09:23','crossval','0.9514285714285715','0.043724036675722826','zoo','wodt','1','0','0.025926527976989747','0.002762031255448493','{}','14.12','7.56','5.28');
|
||||
@@ -1,49 +1,49 @@
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:30:19','crossval','0.97056','0.015046806970251203','balance-scale','stree','1','0','0.0135215425491333','0.0011360178386564284','{"C": 10000.0, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','7.0','4.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:30:19','crossval','0.86','0.28501461950807594','balloons','stree','1','0','0.0008485794067382812','0.0001188045305908689','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:30:19','crossval','0.9727635460332246','0.017313211324042233','breast-cancer-wisc-diag','stree','1','0','0.0038550806045532225','0.000617279818182984','{"C": 0.2, "max_iter": 10000.0}','3.24','2.12','2.12');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:30:20','crossval','0.811128205128205','0.05846009894763935','breast-cancer-wisc-prog','stree','1','0','0.007727689743041992','0.001516225580196234','{"C": 0.2, "max_iter": 10000.0}','5.84','3.42','3.24');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:30:20','crossval','0.9666608427543679','0.013942149556406368','breast-cancer-wisc','stree','1','0','0.006568741798400879','0.0007625617496781278','{}','8.88','4.94','4.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:30:22','crossval','0.7342105263157894','0.047977358056609264','breast-cancer','stree','1','0','0.023711833953857422','0.005911314725396009','{}','21.72','11.36','5.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:32:58','crossval','0.7914874344103837','0.019208232849977837','cardiotocography-10clases','stree','1','0','3.110443158149719','0.3439626255704066','{}','160.76','80.88','22.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:33:52','crossval','0.9006125379729356','0.015400444429719303','cardiotocography-3clases','stree','1','0','1.0598349380493164','0.14039412983507724','{}','47.68','24.34','8.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:33:52','crossval','0.7555284552845529','0.06784237376406048','conn-bench-sonar-mines-rocks','stree','1','0','0.011767463684082031','0.0034720107334710415','{}','6.08','3.54','2.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:34:08','crossval','0.7150485436893205','0.036764625484378664','cylinder-bands','stree','1','0','0.3056864404678345','0.11098936517079835','{}','26.2','13.6','6.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:34:10','crossval','0.9718326545723807','0.020688266783058316','dermatology','stree','1','0','0.03817004203796387','0.010806662079855171','{"C": 55, "max_iter": 10000.0}','11.0','6.0','6.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:34:10','crossval','0.8147578347578346','0.09980783640455321','echocardiogram','stree','1','0','0.0032717084884643557','0.0009452149671672354','{"C": 7, "gamma": 0.1, "kernel": "poly", "max_features": "auto", "max_iter": 10000.0}','7.0','4.0','3.54');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:34:11','crossval','0.88','0.0547722557505166','fertility','stree','1','0','0.0008958005905151368','9.260489208604769e-05','{"C": 0.05, "max_features": "auto", "max_iter": 10000.0}','1.0','1.0','1.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:34:12','crossval','0.735637228979376','0.04346136548997221','haberman-survival','stree','1','0','0.017356443405151366','0.003344628768121206','{}','23.4','12.2','5.98');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:34:12','crossval','0.8275219170075979','0.05052827428335672','heart-hungarian','stree','1','0','0.004888038635253906','0.0006866494530326037','{"C": 0.05, "max_iter": 10000.0}','10.16','5.58','4.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:34:12','crossval','0.8245161290322581','0.073887165430815','hepatitis','stree','1','0','0.0021643877029418946','0.00017049195899078594','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:34:14','crossval','0.7234983790156204','0.038488555090414656','ilpd-indian-liver','stree','1','0','0.03525063991546631','0.01598720497774422','{}','16.04','8.52','5.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:34:15','crossval','0.9532756539235413','0.02385368651558141','ionosphere','stree','1','0','0.008699665069580078','0.0006978980567027729','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','3.16','2.08','2.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:34:15','crossval','0.9653333333333333','0.03194439613522917','iris','stree','1','0','0.0035097742080688475','0.0004097695961846504','{}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:34:27','crossval','0.7030000000000001','0.029120439557122058','led-display','stree','1','0','0.22439127922058105','0.01169153690154062','{}','47.16','24.08','17.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:35:09','crossval','0.7886111111111112','0.05169130237032862','libras','stree','1','0','0.8458884000778198','0.08454762729597892','{"C": 0.08, "max_iter": 10000.0}','82.28','41.64','28.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:35:32','crossval','0.8837824016928232','0.032459291468616217','low-res-spect','stree','1','0','0.4472122287750244','0.041499966805103185','{"C": 0.05, "max_iter": 10000.0}','27.4','14.2','10.74');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:35:33','crossval','0.8350344827586206','0.05906491141171708','lymphography','stree','1','0','0.005450162887573242','0.0007729326253123006','{"C": 0.05, "max_iter": 10000.0}','9.04','5.02','4.48');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:35:34','crossval','0.8191504749568224','0.02225166121455892','mammographic','stree','1','0','0.02307891845703125','0.0033052073740422487','{}','7.4','4.2','4.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:35:34','crossval','0.7670562770562769','0.0910922603260364','molec-biol-promoter','stree','1','0','0.0013122034072875976','0.00016183676329530782','{"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:35:35','crossval','0.9163881578947368','0.027520787090975468','musk-1','stree','1','0','0.011589522361755372','0.0004088059821318706','{"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:35:46','crossval','0.8351252989000477','0.02209607725442717','oocytes_merluccius_nucleus_4d','stree','1','0','0.20897716522216797','0.027290338397606986','{"C": 8.25, "gamma": 0.1, "kernel": "poly"}','10.52','5.76','4.42');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:35:55','crossval','0.9153653754184602','0.02039598729685399','oocytes_merluccius_states_2f','stree','1','0','0.18353436946868895','0.029760481425220444','{}','18.04','9.52','5.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:31','crossval','0.8009860085269921','0.0218449453461112','oocytes_trisopterus_nucleus_2f','stree','1','0','0.7218273735046387','0.21090495643818924','{}','29.88','15.44','7.38');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:34','crossval','0.9222488440521228','0.017920300227679892','oocytes_trisopterus_states_5b','stree','1','0','0.055391054153442386','0.008478615016401354','{"C": 0.11, "max_iter": 10000.0}','7.44','4.22','3.6');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:35','crossval','0.882051282051282','0.04783271309276316','parkinsons','stree','1','0','0.008035006523132325','0.0017704174142100634','{}','8.48','4.74','3.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:39','crossval','0.7666513878278585','0.02972027059401136','pima','stree','1','0','0.0765744400024414','0.021707739325980017','{}','17.4','9.2','5.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:39','crossval','0.8677489177489177','0.07122264688853039','pittsburg-bridges-MATERIAL','stree','1','0','0.0029404354095458984','0.00026968464971181453','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','5.16','3.08','3.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:40','crossval','0.6322380952380952','0.1012105974392682','pittsburg-bridges-REL-L','stree','1','0','0.013614563941955567','0.0032556997108539065','{}','16.32','8.66','5.96');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:41','crossval','0.659766081871345','0.11650021102545294','pittsburg-bridges-SPAN','stree','1','0','0.005315670967102051','0.0016026664731376263','{"C": 0.05, "max_iter": 10000.0}','9.84','5.42','4.58');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:41','crossval','0.8616190476190478','0.06937466062918769','pittsburg-bridges-T-OR-D','stree','1','0','0.003019518852233887','0.0005686500618931248','{}','4.56','2.78','2.68');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:41','crossval','0.7352702702702704','0.06697755238925641','planning','stree','1','0','0.0030538272857666016','0.00016792938405634755','{"C": 7, "gamma": 10.0, "kernel": "rbf", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:42','crossval','0.711111111111111','0.07535922203472521','post-operative','stree','1','0','0.001947765350341797','0.000514724238125775','{"C": 55, "degree": 5, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','2.64','1.82','1.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:43','crossval','0.9528571428571427','0.0279658035429067','seeds','stree','1','0','0.02068638801574707','0.005372199057747094','{"C": 10000.0, "max_iter": 10000.0}','9.88','5.44','4.44');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:43','crossval','0.6782608695652174','0.03904983647915211','statlog-australian-credit','stree','1','0','0.0020897960662841796','0.0008477983008284613','{"C": 0.05, "max_features": "auto", "max_iter": 10000.0}','1.32','1.16','1.16');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:58','crossval','0.7625','0.02718915224864506','statlog-german-credit','stree','1','0','0.29993834018707277','0.0654828091768462','{}','21.24','11.12','6.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:36:59','crossval','0.8229629629629629','0.044003990341567836','statlog-heart','stree','1','0','0.01415153980255127','0.003446367182544689','{}','14.56','7.78','5.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:40:36','crossval','0.9559307359307361','0.00956073126474503','statlog-image','stree','1','0','4.323495583534241','0.20372333182093552','{"C": 7, "max_iter": 10000.0}','36.92','18.96','10.8');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:40:50','crossval','0.7930281935259312','0.03010396812322711','statlog-vehicle','stree','1','0','0.2877680444717407','0.040200186739421113','{}','23.88','12.44','7.06');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:41:01','crossval','0.9500000000000002','0.025385910352879692','synthetic-control','stree','1','0','0.20925597190856934','0.042345414289880805','{"C": 0.55, "max_iter": 10000.0}','12.48','6.74','6.5');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:41:02','crossval','0.9844442626527051','0.008387465200358178','tic-tac-toe','stree','1','0','0.012439990043640136','0.00046189514348666654','{"C": 0.2, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:41:02','crossval','0.8529032258064515','0.04088510843291576','vertebral-column-2clases','stree','1','0','0.00585533618927002','0.0008871302687065003','{}','6.04','3.52','3.34');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:41:03','crossval','0.9791587301587302','0.022426953738041516','wine','stree','1','0','0.0019552993774414064','0.00011510793334965408','{"C": 0.55, "max_iter": 10000.0}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-10','23:41:03','crossval','0.9575238095238094','0.04546150348723332','zoo','stree','1','0','0.005614590644836426','0.00018146760407674055','{"C": 0.1, "max_iter": 10000.0}','13.04','7.02','7.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:46:29','crossval','0.97056','0.015046806970251203','balance-scale','stree','1','0','0.013521394729614257','0.001112126583761057','{"C": 10000.0, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','7.0','4.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:46:29','crossval','0.86','0.28501461950807594','balloons','stree','1','0','0.0008047676086425781','7.747968735711355e-05','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:46:29','crossval','0.9727635460332246','0.017313211324042233','breast-cancer-wisc-diag','stree','1','0','0.003807716369628906','0.0006386760066155371','{"C": 0.2, "max_iter": 10000.0}','3.24','2.12','2.12');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:46:30','crossval','0.811128205128205','0.05846009894763935','breast-cancer-wisc-prog','stree','1','0','0.0076753473281860355','0.0014811406636601784','{"C": 0.2, "max_iter": 10000.0}','5.84','3.42','3.24');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:46:31','crossval','0.9666608427543679','0.013942149556406368','breast-cancer-wisc','stree','1','0','0.006522173881530762','0.0007265793136760184','{}','8.88','4.94','4.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:46:32','crossval','0.7342105263157894','0.047977358056609264','breast-cancer','stree','1','0','0.023475041389465334','0.005844474035263798','{}','21.72','11.36','5.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:49:08','crossval','0.7914874344103837','0.019208232849977837','cardiotocography-10clases','stree','1','0','3.105821647644043','0.33921834683311924','{}','160.76','80.88','22.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:01','crossval','0.9006125379729356','0.015400444429719303','cardiotocography-3clases','stree','1','0','1.052277488708496','0.1387678273158704','{}','47.68','24.34','8.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:01','crossval','0.7555284552845529','0.06784237376406048','conn-bench-sonar-mines-rocks','stree','1','0','0.011576991081237793','0.0034114810587077956','{}','6.08','3.54','2.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:17','crossval','0.7150485436893205','0.036764625484378664','cylinder-bands','stree','1','0','0.301143479347229','0.10977312701100078','{}','26.2','13.6','6.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:19','crossval','0.9718326545723807','0.020688266783058316','dermatology','stree','1','0','0.03775376796722412','0.010726022978669193','{"C": 55, "max_iter": 10000.0}','11.0','6.0','6.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:19','crossval','0.8147578347578346','0.09980783640455321','echocardiogram','stree','1','0','0.003334488868713379','0.0009646863757380854','{"C": 7, "gamma": 0.1, "kernel": "poly", "max_features": "auto", "max_iter": 10000.0}','7.0','4.0','3.54');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:20','crossval','0.88','0.0547722557505166','fertility','stree','1','0','0.0009027099609375','8.964464461243442e-05','{"C": 0.05, "max_features": "auto", "max_iter": 10000.0}','1.0','1.0','1.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:21','crossval','0.735637228979376','0.04346136548997221','haberman-survival','stree','1','0','0.017161059379577636','0.0033494475722209253','{}','23.4','12.2','5.98');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:21','crossval','0.8275219170075979','0.05052827428335672','heart-hungarian','stree','1','0','0.00493945598602295','0.0007381982270336696','{"C": 0.05, "max_iter": 10000.0}','10.16','5.58','4.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:21','crossval','0.8245161290322581','0.073887165430815','hepatitis','stree','1','0','0.0021533966064453125','0.000133715155086226','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:23','crossval','0.7234983790156204','0.038488555090414656','ilpd-indian-liver','stree','1','0','0.03452431678771973','0.015788964049342803','{}','16.04','8.52','5.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:24','crossval','0.9532756539235413','0.02385368651558141','ionosphere','stree','1','0','0.008817219734191894','0.0008431079237652102','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','3.16','2.08','2.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:24','crossval','0.9653333333333333','0.03194439613522917','iris','stree','1','0','0.003573422431945801','0.00040050869886675575','{}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:50:36','crossval','0.7030000000000001','0.029120439557122058','led-display','stree','1','0','0.22210572719573973','0.011692202574353189','{}','47.16','24.08','17.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:18','crossval','0.7886111111111112','0.05169130237032862','libras','stree','1','0','0.8417143678665161','0.08309663340210176','{"C": 0.08, "max_iter": 10000.0}','82.28','41.64','28.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:41','crossval','0.8837824016928232','0.032459291468616217','low-res-spect','stree','1','0','0.44630089282989505','0.041182171968385035','{"C": 0.05, "max_iter": 10000.0}','27.4','14.2','10.74');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:41','crossval','0.8350344827586206','0.05906491141171708','lymphography','stree','1','0','0.005394654273986816','0.0007543650042051026','{"C": 0.05, "max_iter": 10000.0}','9.04','5.02','4.48');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:43','crossval','0.8191504749568224','0.02225166121455892','mammographic','stree','1','0','0.022793102264404296','0.0032853343533892692','{}','7.4','4.2','4.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:43','crossval','0.7670562770562769','0.0910922603260364','molec-biol-promoter','stree','1','0','0.0013027286529541016','0.00010577216589905959','{"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:44','crossval','0.9163881578947368','0.027520787090975468','musk-1','stree','1','0','0.011636729240417481','0.00033184522869391455','{"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:51:55','crossval','0.8351252989000477','0.02209607725442717','oocytes_merluccius_nucleus_4d','stree','1','0','0.20889493942260742','0.027057339603723553','{"C": 8.25, "gamma": 0.1, "kernel": "poly"}','10.52','5.76','4.42');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:04','crossval','0.9153653754184602','0.02039598729685399','oocytes_merluccius_states_2f','stree','1','0','0.18219809532165526','0.029426733145664036','{}','18.04','9.52','5.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:41','crossval','0.8009860085269921','0.0218449453461112','oocytes_trisopterus_nucleus_2f','stree','1','0','0.7171128463745117','0.20960829628292243','{}','29.88','15.44','7.38');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:44','crossval','0.9222488440521228','0.017920300227679892','oocytes_trisopterus_states_5b','stree','1','0','0.054504685401916504','0.008530142602127649','{"C": 0.11, "max_iter": 10000.0}','7.44','4.22','3.6');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:44','crossval','0.882051282051282','0.04783271309276316','parkinsons','stree','1','0','0.007950482368469238','0.001767609310762367','{}','8.48','4.74','3.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:48','crossval','0.7666513878278585','0.02972027059401136','pima','stree','1','0','0.07500476360321046','0.021399517244051796','{}','17.4','9.2','5.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:48','crossval','0.8677489177489177','0.07122264688853039','pittsburg-bridges-MATERIAL','stree','1','0','0.002933182716369629','0.00033146879359994565','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','5.16','3.08','3.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:49','crossval','0.6322380952380952','0.1012105974392682','pittsburg-bridges-REL-L','stree','1','0','0.013631119728088378','0.0032296410340452203','{}','16.32','8.66','5.96');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:50','crossval','0.659766081871345','0.11650021102545294','pittsburg-bridges-SPAN','stree','1','0','0.005242562294006348','0.0015882216217075937','{"C": 0.05, "max_iter": 10000.0}','9.84','5.42','4.58');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:50','crossval','0.8616190476190478','0.06937466062918769','pittsburg-bridges-T-OR-D','stree','1','0','0.0029562711715698242','0.0005785937838405856','{}','4.56','2.78','2.68');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:50','crossval','0.7352702702702704','0.06697755238925641','planning','stree','1','0','0.003047499656677246','0.0001722659683748065','{"C": 7, "gamma": 10.0, "kernel": "rbf", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:51','crossval','0.711111111111111','0.07535922203472521','post-operative','stree','1','0','0.001872701644897461','0.00048197705375967875','{"C": 55, "degree": 5, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','2.64','1.82','1.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:52','crossval','0.9528571428571427','0.0279658035429067','seeds','stree','1','0','0.02034916400909424','0.005180647692160359','{"C": 10000.0, "max_iter": 10000.0}','9.88','5.44','4.44');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:52:52','crossval','0.6782608695652174','0.03904983647915211','statlog-australian-credit','stree','1','0','0.0020533704757690428','0.0008316195354329154','{"C": 0.05, "max_features": "auto", "max_iter": 10000.0}','1.32','1.16','1.16');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:53:07','crossval','0.7625','0.02718915224864506','statlog-german-credit','stree','1','0','0.29075406074523924','0.0653151725094473','{}','21.24','11.12','6.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:53:09','crossval','0.8229629629629629','0.044003990341567836','statlog-heart','stree','1','0','0.013892254829406737','0.0032366364424029005','{}','14.56','7.78','5.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:56:43','crossval','0.9559307359307361','0.00956073126474503','statlog-image','stree','1','0','4.275844583511352','0.20036233250877256','{"C": 7, "max_iter": 10000.0}','36.92','18.96','10.8');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:56:57','crossval','0.7930281935259312','0.03010396812322711','statlog-vehicle','stree','1','0','0.2788329839706421','0.03921726415133217','{}','23.88','12.44','7.06');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:07','crossval','0.9500000000000002','0.025385910352879692','synthetic-control','stree','1','0','0.20518446922302247','0.04079304776769676','{"C": 0.55, "max_iter": 10000.0}','12.48','6.74','6.5');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:08','crossval','0.9844442626527051','0.008387465200358178','tic-tac-toe','stree','1','0','0.01230151653289795','0.00042372790162746484','{"C": 0.2, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:09','crossval','0.8529032258064515','0.04088510843291576','vertebral-column-2clases','stree','1','0','0.005768327713012695','0.0009103315854016714','{}','6.04','3.52','3.34');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:09','crossval','0.9791587301587302','0.022426953738041516','wine','stree','1','0','0.0019740962982177732','0.00013774522315022615','{"C": 0.55, "max_iter": 10000.0}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:10','crossval','0.9575238095238094','0.04546150348723332','zoo','stree','1','0','0.005562210083007812','0.000230105620262085','{"C": 0.1, "max_iter": 10000.0}','13.04','7.02','7.02');
|
||||
@@ -1,57 +1,55 @@
|
||||
* Process all datasets set with stree: tanveer norm: True std: False store in: stree
|
||||
* Process all datasets set with stree: tanveer norm: False std: False store in: stree
|
||||
5 Fold Cross Validation with 10 random seeds [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]
|
||||
|
||||
Dataset Samp Var Cls Nodes Leaves Depth Accuracy Time Parameters
|
||||
============================== ===== === === ======= ======= ======= =============== =============== ==========
|
||||
balance-scale 625 4 3 7.00 4.00 3.00 0.970560±0.0150 0.013607±0.0012 {"C": 10000.0, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}
|
||||
balloons 16 4 2 3.00 2.00 2.00 0.860000±0.2850 0.000802±0.0001 {"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}
|
||||
breast-cancer-wisc-diag 569 30 2 3.24 2.12 2.12 0.972764±0.0173 0.003826±0.0007 {"C": 0.2, "max_iter": 10000.0}
|
||||
breast-cancer-wisc-prog 198 33 2 5.84 3.42 3.24 0.811128±0.0585 0.007777±0.0015 {"C": 0.2, "max_iter": 10000.0}
|
||||
breast-cancer-wisc 699 9 2 8.88 4.94 4.08 0.966661±0.0139 0.006625±0.0008 {}
|
||||
breast-cancer 286 9 2 21.72 11.36 5.86 0.734211±0.0480 0.023730±0.0059 {}
|
||||
cardiotocography-10clases 2126 21 10 160.76 80.88 22.86 0.791487±0.0192 3.147645±0.3417 {}
|
||||
cardiotocography-3clases 2126 21 3 47.68 24.34 8.84 0.900613±0.0154 1.070610±0.1435 {}
|
||||
conn-bench-sonar-mines-rocks 208 60 2 6.08 3.54 2.86 0.755528±0.0678 0.011588±0.0034 {}
|
||||
cylinder-bands 512 35 2 26.20 13.60 6.82 0.715049±0.0368 0.307926±0.1114 {}
|
||||
dermatology 366 34 6 11.00 6.00 6.00 0.971833±0.0207 0.038074±0.0108 {"C": 55, "max_iter": 10000.0}
|
||||
echocardiogram 131 10 2 7.00 4.00 3.54 0.814758±0.0998 0.003269±0.0009 {"C": 7, "gamma": 0.1, "kernel": "poly", "max_features": "auto", "max_iter": 10000.0}
|
||||
fertility 100 9 2 1.00 1.00 1.00 0.880000±0.0548 0.000961±0.0001 {"C": 0.05, "max_features": "auto", "max_iter": 10000.0}
|
||||
haberman-survival 306 3 2 23.40 12.20 5.98 0.735637±0.0435 0.017420±0.0034 {}
|
||||
heart-hungarian 294 12 2 10.16 5.58 4.00 0.827522±0.0505 0.004928±0.0007 {"C": 0.05, "max_iter": 10000.0}
|
||||
hepatitis 155 19 2 3.00 2.00 2.00 0.824516±0.0739 0.002160±0.0001 {"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}
|
||||
ilpd-indian-liver 583 9 2 16.04 8.52 5.28 0.723498±0.0385 0.035263±0.0160 {}
|
||||
ionosphere 351 33 2 3.16 2.08 2.08 0.953276±0.0239 0.008915±0.0008 {"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}
|
||||
iris 150 4 3 5.00 3.00 3.00 0.965333±0.0319 0.003556±0.0004 {}
|
||||
led-display 1000 7 10 47.16 24.08 17.76 0.703000±0.0291 0.225625±0.0119 {}
|
||||
libras 360 90 15 82.28 41.64 28.84 0.788611±0.0517 0.851997±0.0843 {"C": 0.08, "max_iter": 10000.0}
|
||||
low-res-spect 531 100 9 27.40 14.20 10.74 0.883782±0.0325 0.450486±0.0413 {"C": 0.05, "max_iter": 10000.0}
|
||||
lymphography 148 18 4 9.04 5.02 4.48 0.835034±0.0591 0.005482±0.0008 {"C": 0.05, "max_iter": 10000.0}
|
||||
mammographic 961 5 2 7.40 4.20 4.00 0.819150±0.0223 0.023214±0.0034 {}
|
||||
molec-biol-promoter 106 57 2 3.00 2.00 2.00 0.767056±0.0911 0.001287±0.0001 {"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}
|
||||
musk-1 476 166 2 3.00 2.00 2.00 0.916388±0.0275 0.011613±0.0004 {"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}
|
||||
oocytes_merluccius_nucleus_4d 1022 41 2 10.52 5.76 4.42 0.835125±0.0221 0.210538±0.0275 {"C": 8.25, "gamma": 0.1, "kernel": "poly"}
|
||||
oocytes_merluccius_states_2f 1022 25 3 18.04 9.52 5.30 0.915365±0.0204 0.184491±0.0301 {}
|
||||
oocytes_trisopterus_nucleus_2f 912 25 2 29.88 15.44 7.38 0.800986±0.0218 0.734998±0.2147 {}
|
||||
oocytes_trisopterus_states_5b 912 32 3 7.44 4.22 3.60 0.922249±0.0179 0.055960±0.0084 {"C": 0.11, "max_iter": 10000.0}
|
||||
parkinsons 195 22 2 8.48 4.74 3.76 0.882051±0.0478 0.008070±0.0018 {}
|
||||
pima 768 8 2 17.40 9.20 5.66 0.766651±0.0297 0.076684±0.0218 {}
|
||||
pittsburg-bridges-MATERIAL 106 7 3 5.16 3.08 3.02 0.867749±0.0712 0.003015±0.0003 {"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}
|
||||
pittsburg-bridges-REL-L 103 7 3 16.32 8.66 5.96 0.632238±0.1012 0.013737±0.0033 {}
|
||||
pittsburg-bridges-SPAN 92 7 3 9.84 5.42 4.58 0.659766±0.1165 0.005307±0.0016 {"C": 0.05, "max_iter": 10000.0}
|
||||
pittsburg-bridges-T-OR-D 102 7 2 4.56 2.78 2.68 0.861619±0.0694 0.003034±0.0006 {}
|
||||
planning 182 12 2 3.00 2.00 2.00 0.735270±0.0670 0.003102±0.0001 {"C": 7, "gamma": 10.0, "kernel": "rbf", "max_iter": 10000.0}
|
||||
post-operative 90 8 3 2.64 1.82 1.82 0.711111±0.0754 0.001882±0.0005 {"C": 55, "degree": 5, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}
|
||||
seeds 210 7 3 9.88 5.44 4.44 0.952857±0.0280 0.020686±0.0053 {"C": 10000.0, "max_iter": 10000.0}
|
||||
statlog-australian-credit 690 14 2 1.32 1.16 1.16 0.678261±0.0390 0.002094±0.0009 {"C": 0.05, "max_features": "auto", "max_iter": 10000.0}
|
||||
statlog-german-credit 1000 24 2 21.24 11.12 6.18 0.762500±0.0272 0.298142±0.0660 {}
|
||||
statlog-heart 270 13 2 14.56 7.78 5.00 0.822963±0.0440 0.014240±0.0033 {}
|
||||
statlog-image 2310 18 7 36.92 18.96 10.80 0.955931±0.0096 4.345813±0.2017 {"C": 7, "max_iter": 10000.0}
|
||||
statlog-vehicle 846 18 4 23.88 12.44 7.06 0.793028±0.0301 0.283493±0.0393 {}
|
||||
synthetic-control 600 60 6 12.48 6.74 6.50 0.950000±0.0254 0.208679±0.0415 {"C": 0.55, "max_iter": 10000.0}
|
||||
tic-tac-toe 958 9 2 3.00 2.00 2.00 0.984444±0.0084 0.012515±0.0004 {"C": 0.2, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}
|
||||
vertebral-column-2clases 310 6 2 6.04 3.52 3.34 0.852903±0.0409 0.006154±0.0010 {}
|
||||
wine 178 13 3 5.00 3.00 3.00 0.979159±0.0224 0.001952±0.0001 {"C": 0.55, "max_iter": 10000.0}
|
||||
zoo 101 16 7 13.04 7.02 7.02 0.957524±0.0455 0.005572±0.0001 {"C": 0.1, "max_iter": 10000.0}
|
||||
- Auto Hyperparams ..: {"C": 0.1, "max_iter": 10000.0}
|
||||
Time: 0h 10m 49s
|
||||
|
||||
balance-scale 625 4 3 7.00 4.00 3.00 0.970560±0.0150 0.013521±0.0011 {"C": 10000.0, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}
|
||||
balloons 16 4 2 3.00 2.00 2.00 0.860000±0.2850 0.000805±0.0001 {"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}
|
||||
breast-cancer-wisc-diag 569 30 2 3.24 2.12 2.12 0.972764±0.0173 0.003808±0.0006 {"C": 0.2, "max_iter": 10000.0}
|
||||
breast-cancer-wisc-prog 198 33 2 5.84 3.42 3.24 0.811128±0.0585 0.007675±0.0015 {"C": 0.2, "max_iter": 10000.0}
|
||||
breast-cancer-wisc 699 9 2 8.88 4.94 4.08 0.966661±0.0139 0.006522±0.0007 {}
|
||||
breast-cancer 286 9 2 21.72 11.36 5.86 0.734211±0.0480 0.023475±0.0058 {}
|
||||
cardiotocography-10clases 2126 21 10 160.76 80.88 22.86 0.791487±0.0192 3.105822±0.3392 {}
|
||||
cardiotocography-3clases 2126 21 3 47.68 24.34 8.84 0.900613±0.0154 1.052277±0.1388 {}
|
||||
conn-bench-sonar-mines-rocks 208 60 2 6.08 3.54 2.86 0.755528±0.0678 0.011577±0.0034 {}
|
||||
cylinder-bands 512 35 2 26.20 13.60 6.82 0.715049±0.0368 0.301143±0.1098 {}
|
||||
dermatology 366 34 6 11.00 6.00 6.00 0.971833±0.0207 0.037754±0.0107 {"C": 55, "max_iter": 10000.0}
|
||||
echocardiogram 131 10 2 7.00 4.00 3.54 0.814758±0.0998 0.003334±0.0010 {"C": 7, "gamma": 0.1, "kernel": "poly", "max_features": "auto", "max_iter": 10000.0}
|
||||
fertility 100 9 2 1.00 1.00 1.00 0.880000±0.0548 0.000903±0.0001 {"C": 0.05, "max_features": "auto", "max_iter": 10000.0}
|
||||
haberman-survival 306 3 2 23.40 12.20 5.98 0.735637±0.0435 0.017161±0.0033 {}
|
||||
heart-hungarian 294 12 2 10.16 5.58 4.00 0.827522±0.0505 0.004939±0.0007 {"C": 0.05, "max_iter": 10000.0}
|
||||
hepatitis 155 19 2 3.00 2.00 2.00 0.824516±0.0739 0.002153±0.0001 {"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}
|
||||
ilpd-indian-liver 583 9 2 16.04 8.52 5.28 0.723498±0.0385 0.034524±0.0158 {}
|
||||
ionosphere 351 33 2 3.16 2.08 2.08 0.953276±0.0239 0.008817±0.0008 {"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}
|
||||
iris 150 4 3 5.00 3.00 3.00 0.965333±0.0319 0.003573±0.0004 {}
|
||||
led-display 1000 7 10 47.16 24.08 17.76 0.703000±0.0291 0.222106±0.0117 {}
|
||||
libras 360 90 15 82.28 41.64 28.84 0.788611±0.0517 0.841714±0.0831 {"C": 0.08, "max_iter": 10000.0}
|
||||
low-res-spect 531 100 9 27.40 14.20 10.74 0.883782±0.0325 0.446301±0.0412 {"C": 0.05, "max_iter": 10000.0}
|
||||
lymphography 148 18 4 9.04 5.02 4.48 0.835034±0.0591 0.005395±0.0008 {"C": 0.05, "max_iter": 10000.0}
|
||||
mammographic 961 5 2 7.40 4.20 4.00 0.819150±0.0223 0.022793±0.0033 {}
|
||||
molec-biol-promoter 106 57 2 3.00 2.00 2.00 0.767056±0.0911 0.001303±0.0001 {"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}
|
||||
musk-1 476 166 2 3.00 2.00 2.00 0.916388±0.0275 0.011637±0.0003 {"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}
|
||||
oocytes_merluccius_nucleus_4d 1022 41 2 10.52 5.76 4.42 0.835125±0.0221 0.208895±0.0271 {"C": 8.25, "gamma": 0.1, "kernel": "poly"}
|
||||
oocytes_merluccius_states_2f 1022 25 3 18.04 9.52 5.30 0.915365±0.0204 0.182198±0.0294 {}
|
||||
oocytes_trisopterus_nucleus_2f 912 25 2 29.88 15.44 7.38 0.800986±0.0218 0.717113±0.2096 {}
|
||||
oocytes_trisopterus_states_5b 912 32 3 7.44 4.22 3.60 0.922249±0.0179 0.054505±0.0085 {"C": 0.11, "max_iter": 10000.0}
|
||||
parkinsons 195 22 2 8.48 4.74 3.76 0.882051±0.0478 0.007950±0.0018 {}
|
||||
pima 768 8 2 17.40 9.20 5.66 0.766651±0.0297 0.075005±0.0214 {}
|
||||
pittsburg-bridges-MATERIAL 106 7 3 5.16 3.08 3.02 0.867749±0.0712 0.002933±0.0003 {"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}
|
||||
pittsburg-bridges-REL-L 103 7 3 16.32 8.66 5.96 0.632238±0.1012 0.013631±0.0032 {}
|
||||
pittsburg-bridges-SPAN 92 7 3 9.84 5.42 4.58 0.659766±0.1165 0.005243±0.0016 {"C": 0.05, "max_iter": 10000.0}
|
||||
pittsburg-bridges-T-OR-D 102 7 2 4.56 2.78 2.68 0.861619±0.0694 0.002956±0.0006 {}
|
||||
planning 182 12 2 3.00 2.00 2.00 0.735270±0.0670 0.003047±0.0002 {"C": 7, "gamma": 10.0, "kernel": "rbf", "max_iter": 10000.0}
|
||||
post-operative 90 8 3 2.64 1.82 1.82 0.711111±0.0754 0.001873±0.0005 {"C": 55, "degree": 5, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}
|
||||
seeds 210 7 3 9.88 5.44 4.44 0.952857±0.0280 0.020349±0.0052 {"C": 10000.0, "max_iter": 10000.0}
|
||||
statlog-australian-credit 690 14 2 1.32 1.16 1.16 0.678261±0.0390 0.002053±0.0008 {"C": 0.05, "max_features": "auto", "max_iter": 10000.0}
|
||||
statlog-german-credit 1000 24 2 21.24 11.12 6.18 0.762500±0.0272 0.290754±0.0653 {}
|
||||
statlog-heart 270 13 2 14.56 7.78 5.00 0.822963±0.0440 0.013892±0.0032 {}
|
||||
statlog-image 2310 18 7 36.92 18.96 10.80 0.955931±0.0096 4.275845±0.2004 {"C": 7, "max_iter": 10000.0}
|
||||
statlog-vehicle 846 18 4 23.88 12.44 7.06 0.793028±0.0301 0.278833±0.0392 {}
|
||||
synthetic-control 600 60 6 12.48 6.74 6.50 0.950000±0.0254 0.205184±0.0408 {"C": 0.55, "max_iter": 10000.0}
|
||||
tic-tac-toe 958 9 2 3.00 2.00 2.00 0.984444±0.0084 0.012302±0.0004 {"C": 0.2, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}
|
||||
vertebral-column-2clases 310 6 2 6.04 3.52 3.34 0.852903±0.0409 0.005768±0.0009 {}
|
||||
wine 178 13 3 5.00 3.00 3.00 0.979159±0.0224 0.001974±0.0001 {"C": 0.55, "max_iter": 10000.0}
|
||||
zoo 101 16 7 13.04 7.02 7.02 0.957524±0.0455 0.005562±0.0002 {"C": 0.1, "max_iter": 10000.0}
|
||||
Time: 0h 10m 41s
|
||||
|
||||
49
results/no_normalizados/stree_default.sql
Normal file
49
results/no_normalizados/stree_default.sql
Normal file
@@ -0,0 +1,49 @@
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:30:56','crossval','0.91072','0.024908665158936163','balance-scale','stree_default','1','0','0.019864988327026368','0.005311145694314984','{}','26.12','13.56','7.94');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:30:56','crossval','0.6533333333333333','0.26265736024122543','balloons','stree_default','1','0','0.0012636518478393555','0.0003839628290468569','{}','3.56','2.28','2.14');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:30:57','crossval','0.9688976866946127','0.01773444539448386','breast-cancer-wisc-diag','stree_default','1','0','0.007150249481201172','0.0016377141873886716','{}','5.96','3.48','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:30:58','crossval','0.802051282051282','0.05416071124900435','breast-cancer-wisc-prog','stree_default','1','0','0.029538917541503906','0.007008422267557801','{}','7.08','4.04','3.2');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:30:59','crossval','0.9666608427543679','0.013942149556406368','breast-cancer-wisc','stree_default','1','0','0.0065635013580322265','0.0007658882931610367','{}','8.88','4.94','4.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:31:00','crossval','0.7342105263157894','0.047977358056609264','breast-cancer','stree_default','1','0','0.023663177490234374','0.005889234489513094','{}','21.72','11.36','5.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:33:35','crossval','0.7914874344103837','0.019208232849977837','cardiotocography-10clases','stree_default','1','0','3.090631532669067','0.3387903752212881','{}','160.76','80.88','22.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:28','crossval','0.9006125379729356','0.015400444429719303','cardiotocography-3clases','stree_default','1','0','1.0601496076583863','0.14325180508229407','{}','47.68','24.34','8.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:28','crossval','0.7555284552845529','0.06784237376406048','conn-bench-sonar-mines-rocks','stree_default','1','0','0.011579136848449707','0.00341250618836713','{}','6.08','3.54','2.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:44','crossval','0.7150485436893205','0.036764625484378664','cylinder-bands','stree_default','1','0','0.30212012767791746','0.10934716780909427','{}','26.2','13.6','6.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:44','crossval','0.9660866345797853','0.019980319019448398','dermatology','stree_default','1','0','0.01325237274169922','0.0007395164690847315','{}','11.04','6.02','6.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:45','crossval','0.8088319088319088','0.07043262872188867','echocardiogram','stree_default','1','0','0.0066650390625','0.0023358645746952953','{}','9.56','5.28','4.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:45','crossval','0.866','0.06199999999999998','fertility','stree_default','1','0','0.0023670434951782227','0.0009980658354088814','{}','2.64','1.82','1.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:46','crossval','0.735637228979376','0.04346136548997221','haberman-survival','stree_default','1','0','0.0171917724609375','0.003355602780295237','{}','23.4','12.2','5.98');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:47','crossval','0.8176738749269432','0.051167624996413454','heart-hungarian','stree_default','1','0','0.01708240032196045','0.0029564347145732655','{}','13.6','7.3','4.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:47','crossval','0.7961290322580646','0.07196946976714497','hepatitis','stree_default','1','0','0.008677120208740235','0.002380409189429096','{}','11.48','6.24','4.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:49','crossval','0.7234983790156204','0.038488555090414656','ilpd-indian-liver','stree_default','1','0','0.034884033203125','0.015866334240149157','{}','16.04','8.52','5.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:50','crossval','0.866056338028169','0.03692959851294158','ionosphere','stree_default','1','0','0.019029245376586915','0.004317571745728723','{}','8.52','4.76','3.72');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:34:50','crossval','0.9653333333333333','0.03194439613522917','iris','stree_default','1','0','0.003518204689025879','0.0004098315930949245','{}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:35:02','crossval','0.7030000000000001','0.029120439557122058','led-display','stree_default','1','0','0.22233974933624268','0.011182548164383388','{}','47.16','24.08','17.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:39:05','crossval','0.7477777777777778','0.0560643369401905','libras','stree_default','1','0','4.865676302909851','0.47840338635968166','{}','55.4','28.2','23.92');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:39:46','crossval','0.8531017457238583','0.033792639911444204','low-res-spect','stree_default','1','0','0.8182121849060059','0.11291183901499681','{}','23.16','12.08','10.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:39:47','crossval','0.7737931034482757','0.07671137265195546','lymphography','stree_default','1','0','0.013612604141235352','0.003139717110476821','{}','14.84','7.92','5.4');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:39:48','crossval','0.8191504749568224','0.02225166121455892','mammographic','stree_default','1','0','0.022927536964416503','0.003290897393496247','{}','7.4','4.2','4.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:39:48','crossval','0.7644155844155843','0.08338291660335592','molec-biol-promoter','stree_default','1','0','0.001444830894470215','0.00014076923765956003','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:40:01','crossval','0.8434627192982457','0.03244165965785046','musk-1','stree_default','1','0','0.25656685829162595','0.05020365843968228','{}','6.72','3.86','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:41:18','crossval','0.8106571018651363','0.024604779621598665','oocytes_merluccius_nucleus_4d','stree_default','1','0','1.5378276205062866','0.2468135308918263','{}','15.84','8.42','4.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:41:27','crossval','0.9153653754184602','0.02039598729685399','oocytes_merluccius_states_2f','stree_default','1','0','0.18091399669647218','0.029502163272774738','{}','18.04','9.52','5.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:03','crossval','0.8009860085269921','0.0218449453461112','oocytes_trisopterus_nucleus_2f','stree_default','1','0','0.7164298534393311','0.2084839053004804','{}','29.88','15.44','7.38');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:20','crossval','0.9166552573109951','0.019693883891024146','oocytes_trisopterus_states_5b','stree_default','1','0','0.3459020614624023','0.09524429287640802','{}','9.36','5.18','4.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:21','crossval','0.882051282051282','0.04783271309276316','parkinsons','stree_default','1','0','0.007840580940246582','0.0017632949115253616','{}','8.48','4.74','3.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:25','crossval','0.7666513878278585','0.02972027059401136','pima','stree_default','1','0','0.07511039257049561','0.021561442866608594','{}','17.4','9.2','5.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:25','crossval','0.7912554112554111','0.07027823545018341','pittsburg-bridges-MATERIAL','stree_default','1','0','0.006921205520629883','0.0011751542849896034','{}','12.0','6.5','4.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:26','crossval','0.6322380952380952','0.1012105974392682','pittsburg-bridges-REL-L','stree_default','1','0','0.01353963851928711','0.003306487868988261','{}','16.32','8.66','5.96');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:26','crossval','0.6302339181286549','0.0968859726336612','pittsburg-bridges-SPAN','stree_default','1','0','0.008255934715270996','0.0018424861643255193','{}','13.44','7.22','5.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:26','crossval','0.8616190476190478','0.06937466062918769','pittsburg-bridges-T-OR-D','stree_default','1','0','0.0029778480529785156','0.0006115322019013844','{}','4.56','2.78','2.68');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:27','crossval','0.7045495495495495','0.07529086255485805','planning','stree_default','1','0','0.010014057159423828','0.004737698753818694','{}','3.96','2.48','2.26');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:27','crossval','0.6755555555555555','0.08982836858403438','post-operative','stree_default','1','0','0.005605654716491699','0.0019141229910884588','{}','3.72','2.36','2.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:28','crossval','0.9490476190476191','0.03719471349557811','seeds','stree_default','1','0','0.005241894721984863','0.0005228452061281181','{}','6.6','3.8','3.52');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:41','crossval','0.6672463768115943','0.03855835164826872','statlog-australian-credit','stree_default','1','0','0.2689080286026001','0.16238507433069835','{}','11.04','6.02','4.48');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:56','crossval','0.7625','0.02718915224864506','statlog-german-credit','stree_default','1','0','0.2915413522720337','0.06454788799481548','{}','21.24','11.12','6.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:42:56','crossval','0.8229629629629629','0.044003990341567836','statlog-heart','stree_default','1','0','0.013746895790100098','0.0031129302775881923','{}','14.56','7.78','5.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:21','crossval','0.9526406926406926','0.007727484930453563','statlog-image','stree_default','1','0','1.692215886116028','0.3964670031166799','{}','25.48','13.24','9.7');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:35','crossval','0.7930281935259312','0.03010396812322711','statlog-vehicle','stree_default','1','0','0.27649492740631104','0.038948109576073045','{}','23.88','12.44','7.06');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:53','crossval','0.9388333333333333','0.03007444467022163','synthetic-control','stree_default','1','0','0.3608403301239014','0.07230542862455751','{}','12.68','6.84','6.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:54','crossval','0.983296247818499','0.008356787795559038','tic-tac-toe','stree_default','1','0','0.013578710556030273','0.0017732519894935886','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:54','crossval','0.8529032258064515','0.04088510843291576','vertebral-column-2clases','stree_default','1','0','0.005812129974365234','0.0009045807200136774','{}','6.04','3.52','3.34');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:54','crossval','0.9758095238095238','0.024493992249868316','wine','stree_default','1','0','0.0020058393478393556','0.0001384457191349272','{}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:44:55','crossval','0.9476190476190477','0.04241838902989076','zoo','stree_default','1','0','0.007672553062438965','0.00038774200066752967','{}','13.0','7.0','7.0');
|
||||
@@ -1,57 +1,55 @@
|
||||
* Process all datasets set with stree_default: tanveer norm: True std: False store in: stree_default
|
||||
* Process all datasets set with stree_default: tanveer norm: False std: False store in: stree_default
|
||||
5 Fold Cross Validation with 10 random seeds [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]
|
||||
|
||||
Dataset Samp Var Cls Nodes Leaves Depth Accuracy Time Parameters
|
||||
============================== ===== === === ====== ====== ====== =============== =============== ==========
|
||||
balance-scale 625 4 3 26.12 13.56 7.94 0.910720±0.0249 0.021917±0.0068 {}
|
||||
balloons 16 4 2 3.56 2.28 2.14 0.653333±0.2627 0.001299±0.0004 {}
|
||||
breast-cancer-wisc-diag 569 30 2 5.96 3.48 3.00 0.968898±0.0177 0.007286±0.0017 {}
|
||||
breast-cancer-wisc-prog 198 33 2 7.08 4.04 3.20 0.802051±0.0542 0.028998±0.0068 {}
|
||||
breast-cancer-wisc 699 9 2 8.88 4.94 4.08 0.966661±0.0139 0.006549±0.0008 {}
|
||||
breast-cancer 286 9 2 21.72 11.36 5.86 0.734211±0.0480 0.023676±0.0060 {}
|
||||
cardiotocography-10clases 2126 21 10 160.76 80.88 22.86 0.791487±0.0192 3.113959±0.3464 {}
|
||||
cardiotocography-3clases 2126 21 3 47.68 24.34 8.84 0.900613±0.0154 1.051307±0.1414 {}
|
||||
conn-bench-sonar-mines-rocks 208 60 2 6.08 3.54 2.86 0.755528±0.0678 0.011538±0.0034 {}
|
||||
cylinder-bands 512 35 2 26.20 13.60 6.82 0.715049±0.0368 0.301428±0.1096 {}
|
||||
dermatology 366 34 6 11.04 6.02 6.02 0.966087±0.0200 0.013223±0.0007 {}
|
||||
echocardiogram 131 10 2 9.56 5.28 4.10 0.808832±0.0704 0.006589±0.0023 {}
|
||||
fertility 100 9 2 2.64 1.82 1.76 0.866000±0.0620 0.002325±0.0010 {}
|
||||
haberman-survival 306 3 2 23.40 12.20 5.98 0.735637±0.0435 0.017143±0.0034 {}
|
||||
heart-hungarian 294 12 2 13.60 7.30 4.46 0.817674±0.0512 0.017137±0.0030 {}
|
||||
hepatitis 155 19 2 11.48 6.24 4.46 0.796129±0.0720 0.008581±0.0024 {}
|
||||
ilpd-indian-liver 583 9 2 16.04 8.52 5.28 0.723498±0.0385 0.034662±0.0162 {}
|
||||
ionosphere 351 33 2 8.52 4.76 3.72 0.866056±0.0369 0.019004±0.0044 {}
|
||||
iris 150 4 3 5.00 3.00 3.00 0.965333±0.0319 0.003447±0.0004 {}
|
||||
led-display 1000 7 10 47.16 24.08 17.76 0.703000±0.0291 0.223610±0.0115 {}
|
||||
libras 360 90 15 55.40 28.20 23.92 0.747778±0.0561 4.877355±0.4811 {}
|
||||
low-res-spect 531 100 9 23.16 12.08 10.10 0.853102±0.0338 0.818328±0.1122 {}
|
||||
lymphography 148 18 4 14.84 7.92 5.40 0.773793±0.0767 0.013397±0.0031 {}
|
||||
mammographic 961 5 2 7.40 4.20 4.00 0.819150±0.0223 0.022731±0.0033 {}
|
||||
molec-biol-promoter 106 57 2 3.00 2.00 2.00 0.764416±0.0834 0.001472±0.0002 {}
|
||||
musk-1 476 166 2 6.72 3.86 3.00 0.843463±0.0324 0.254120±0.0505 {}
|
||||
oocytes_merluccius_nucleus_4d 1022 41 2 15.84 8.42 4.84 0.810657±0.0246 1.538509±0.2465 {}
|
||||
oocytes_merluccius_states_2f 1022 25 3 18.04 9.52 5.30 0.915365±0.0204 0.181659±0.0291 {}
|
||||
oocytes_trisopterus_nucleus_2f 912 25 2 29.88 15.44 7.38 0.800986±0.0218 0.716645±0.2090 {}
|
||||
oocytes_trisopterus_states_5b 912 32 3 9.36 5.18 4.18 0.916655±0.0197 0.346873±0.0956 {}
|
||||
parkinsons 195 22 2 8.48 4.74 3.76 0.882051±0.0478 0.007959±0.0017 {}
|
||||
pima 768 8 2 17.40 9.20 5.66 0.766651±0.0297 0.075477±0.0215 {}
|
||||
pittsburg-bridges-MATERIAL 106 7 3 12.00 6.50 4.82 0.791255±0.0703 0.006945±0.0012 {}
|
||||
pittsburg-bridges-REL-L 103 7 3 16.32 8.66 5.96 0.632238±0.1012 0.013606±0.0033 {}
|
||||
pittsburg-bridges-SPAN 92 7 3 13.44 7.22 5.08 0.630234±0.0969 0.008407±0.0019 {}
|
||||
pittsburg-bridges-T-OR-D 102 7 2 4.56 2.78 2.68 0.861619±0.0694 0.002989±0.0006 {}
|
||||
planning 182 12 2 3.96 2.48 2.26 0.704550±0.0753 0.010120±0.0048 {}
|
||||
post-operative 90 8 3 3.72 2.36 2.28 0.675556±0.0898 0.005633±0.0019 {}
|
||||
seeds 210 7 3 6.60 3.80 3.52 0.949048±0.0372 0.005244±0.0006 {}
|
||||
statlog-australian-credit 690 14 2 11.04 6.02 4.48 0.667246±0.0386 0.270380±0.1636 {}
|
||||
statlog-german-credit 1000 24 2 21.24 11.12 6.18 0.762500±0.0272 0.293827±0.0660 {}
|
||||
statlog-heart 270 13 2 14.56 7.78 5.00 0.822963±0.0440 0.014031±0.0032 {}
|
||||
statlog-image 2310 18 7 25.48 13.24 9.70 0.952641±0.0077 1.709340±0.4000 {}
|
||||
statlog-vehicle 846 18 4 23.88 12.44 7.06 0.793028±0.0301 0.279074±0.0386 {}
|
||||
synthetic-control 600 60 6 12.68 6.84 6.30 0.938833±0.0301 0.364350±0.0736 {}
|
||||
tic-tac-toe 958 9 2 3.00 2.00 2.00 0.983296±0.0084 0.013774±0.0017 {}
|
||||
vertebral-column-2clases 310 6 2 6.04 3.52 3.34 0.852903±0.0409 0.005830±0.0008 {}
|
||||
wine 178 13 3 5.00 3.00 3.00 0.975810±0.0245 0.002039±0.0002 {}
|
||||
zoo 101 16 7 13.00 7.00 7.00 0.947619±0.0424 0.007747±0.0004 {}
|
||||
- Auto Hyperparams ..: {}
|
||||
Time: 0h 14m 2s
|
||||
|
||||
Dataset Samp Var Cls Nodes Leaves Depth Accuracy Time Parameters
|
||||
============================== ===== === === ======= ======= ======= =============== =============== ==========
|
||||
balance-scale 625 4 3 26.12 13.56 7.94 0.910720±0.0249 0.019865±0.0053 {}
|
||||
balloons 16 4 2 3.56 2.28 2.14 0.653333±0.2627 0.001264±0.0004 {}
|
||||
breast-cancer-wisc-diag 569 30 2 5.96 3.48 3.00 0.968898±0.0177 0.007150±0.0016 {}
|
||||
breast-cancer-wisc-prog 198 33 2 7.08 4.04 3.20 0.802051±0.0542 0.029539±0.0070 {}
|
||||
breast-cancer-wisc 699 9 2 8.88 4.94 4.08 0.966661±0.0139 0.006564±0.0008 {}
|
||||
breast-cancer 286 9 2 21.72 11.36 5.86 0.734211±0.0480 0.023663±0.0059 {}
|
||||
cardiotocography-10clases 2126 21 10 160.76 80.88 22.86 0.791487±0.0192 3.090632±0.3388 {}
|
||||
cardiotocography-3clases 2126 21 3 47.68 24.34 8.84 0.900613±0.0154 1.060150±0.1433 {}
|
||||
conn-bench-sonar-mines-rocks 208 60 2 6.08 3.54 2.86 0.755528±0.0678 0.011579±0.0034 {}
|
||||
cylinder-bands 512 35 2 26.20 13.60 6.82 0.715049±0.0368 0.302120±0.1093 {}
|
||||
dermatology 366 34 6 11.04 6.02 6.02 0.966087±0.0200 0.013252±0.0007 {}
|
||||
echocardiogram 131 10 2 9.56 5.28 4.10 0.808832±0.0704 0.006665±0.0023 {}
|
||||
fertility 100 9 2 2.64 1.82 1.76 0.866000±0.0620 0.002367±0.0010 {}
|
||||
haberman-survival 306 3 2 23.40 12.20 5.98 0.735637±0.0435 0.017192±0.0034 {}
|
||||
heart-hungarian 294 12 2 13.60 7.30 4.46 0.817674±0.0512 0.017082±0.0030 {}
|
||||
hepatitis 155 19 2 11.48 6.24 4.46 0.796129±0.0720 0.008677±0.0024 {}
|
||||
ilpd-indian-liver 583 9 2 16.04 8.52 5.28 0.723498±0.0385 0.034884±0.0159 {}
|
||||
ionosphere 351 33 2 8.52 4.76 3.72 0.866056±0.0369 0.019029±0.0043 {}
|
||||
iris 150 4 3 5.00 3.00 3.00 0.965333±0.0319 0.003518±0.0004 {}
|
||||
led-display 1000 7 10 47.16 24.08 17.76 0.703000±0.0291 0.222340±0.0112 {}
|
||||
libras 360 90 15 55.40 28.20 23.92 0.747778±0.0561 4.865676±0.4784 {}
|
||||
low-res-spect 531 100 9 23.16 12.08 10.10 0.853102±0.0338 0.818212±0.1129 {}
|
||||
lymphography 148 18 4 14.84 7.92 5.40 0.773793±0.0767 0.013613±0.0031 {}
|
||||
mammographic 961 5 2 7.40 4.20 4.00 0.819150±0.0223 0.022928±0.0033 {}
|
||||
molec-biol-promoter 106 57 2 3.00 2.00 2.00 0.764416±0.0834 0.001445±0.0001 {}
|
||||
musk-1 476 166 2 6.72 3.86 3.00 0.843463±0.0324 0.256567±0.0502 {}
|
||||
oocytes_merluccius_nucleus_4d 1022 41 2 15.84 8.42 4.84 0.810657±0.0246 1.537828±0.2468 {}
|
||||
oocytes_merluccius_states_2f 1022 25 3 18.04 9.52 5.30 0.915365±0.0204 0.180914±0.0295 {}
|
||||
oocytes_trisopterus_nucleus_2f 912 25 2 29.88 15.44 7.38 0.800986±0.0218 0.716430±0.2085 {}
|
||||
oocytes_trisopterus_states_5b 912 32 3 9.36 5.18 4.18 0.916655±0.0197 0.345902±0.0952 {}
|
||||
parkinsons 195 22 2 8.48 4.74 3.76 0.882051±0.0478 0.007841±0.0018 {}
|
||||
pima 768 8 2 17.40 9.20 5.66 0.766651±0.0297 0.075110±0.0216 {}
|
||||
pittsburg-bridges-MATERIAL 106 7 3 12.00 6.50 4.82 0.791255±0.0703 0.006921±0.0012 {}
|
||||
pittsburg-bridges-REL-L 103 7 3 16.32 8.66 5.96 0.632238±0.1012 0.013540±0.0033 {}
|
||||
pittsburg-bridges-SPAN 92 7 3 13.44 7.22 5.08 0.630234±0.0969 0.008256±0.0018 {}
|
||||
pittsburg-bridges-T-OR-D 102 7 2 4.56 2.78 2.68 0.861619±0.0694 0.002978±0.0006 {}
|
||||
planning 182 12 2 3.96 2.48 2.26 0.704550±0.0753 0.010014±0.0047 {}
|
||||
post-operative 90 8 3 3.72 2.36 2.28 0.675556±0.0898 0.005606±0.0019 {}
|
||||
seeds 210 7 3 6.60 3.80 3.52 0.949048±0.0372 0.005242±0.0005 {}
|
||||
statlog-australian-credit 690 14 2 11.04 6.02 4.48 0.667246±0.0386 0.268908±0.1624 {}
|
||||
statlog-german-credit 1000 24 2 21.24 11.12 6.18 0.762500±0.0272 0.291541±0.0645 {}
|
||||
statlog-heart 270 13 2 14.56 7.78 5.00 0.822963±0.0440 0.013747±0.0031 {}
|
||||
statlog-image 2310 18 7 25.48 13.24 9.70 0.952641±0.0077 1.692216±0.3965 {}
|
||||
statlog-vehicle 846 18 4 23.88 12.44 7.06 0.793028±0.0301 0.276495±0.0389 {}
|
||||
synthetic-control 600 60 6 12.68 6.84 6.30 0.938833±0.0301 0.360840±0.0723 {}
|
||||
tic-tac-toe 958 9 2 3.00 2.00 2.00 0.983296±0.0084 0.013579±0.0018 {}
|
||||
vertebral-column-2clases 310 6 2 6.04 3.52 3.34 0.852903±0.0409 0.005812±0.0009 {}
|
||||
wine 178 13 3 5.00 3.00 3.00 0.975810±0.0245 0.002006±0.0001 {}
|
||||
zoo 101 16 7 13.00 7.00 7.00 0.947619±0.0424 0.007673±0.0004 {}
|
||||
Time: 0h 13m 59s
|
||||
|
||||
49
results/no_normalizados/wodt.sql
Normal file
49
results/no_normalizados/wodt.sql
Normal file
@@ -0,0 +1,49 @@
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:54','crossval','0.92128','0.031368162203100125','balance-scale','wodt','1','0','0.20405818462371828','0.022571956954535153','{}','75.52','38.26','9.7');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:54','crossval','0.6783333333333331','0.2527680095792715','balloons','wodt','1','0','0.004954948425292969','0.0019387191705256103','{}','4.84','2.92','2.88');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:57:58','crossval','0.9659043626766031','0.014333296217523984','breast-cancer-wisc-diag','wodt','1','0','0.06464197635650634','0.012108764657414138','{}','14.72','7.86','6.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:58:01','crossval','0.707551282051282','0.06763805250945308','breast-cancer-wisc-prog','wodt','1','0','0.0692945384979248','0.008961664455714191','{}','37.04','19.02','7.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:58:07','crossval','0.9423514902363824','0.01770754168958359','breast-cancer-wisc','wodt','1','0','0.12495562553405762','0.016810640540965177','{}','33.48','17.24','8.16');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:58:18','crossval','0.6632486388384754','0.04925109121345335','breast-cancer','wodt','1','0','0.21800825119018555','0.021381624898607857','{}','415.64','208.32','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','18:59:34','crossval','0.7793040596520296','0.019900281966912726','cardiotocography-10clases','wodt','1','0','1.493107976913452','0.12734666329135594','{}','638.16','319.58','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:13','crossval','0.9014120961060482','0.016029994123889068','cardiotocography-3clases','wodt','1','0','0.7748759126663208','0.07421457240370866','{}','325.12','163.06','45.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:16','crossval','0.804123112659698','0.05815664564095989','conn-bench-sonar-mines-rocks','wodt','1','0','0.04883401870727539','0.006180203515766835','{}','21.88','11.44','5.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:25','crossval','0.7025452122596612','0.03710659493721448','cylinder-bands','wodt','1','0','0.17872836589813232','0.015664783357032367','{}','75.84','38.42','9.72');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:28','crossval','0.9641873380229546','0.016641323865204168','dermatology','wodt','1','0','0.05750450611114502','0.005299417085917453','{}','15.28','8.14','6.22');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:30','crossval','0.7423646723646725','0.08024332218287807','echocardiogram','wodt','1','0','0.047157793045043944','0.007633892115377762','{}','28.64','14.82','7.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:32','crossval','0.804','0.06770524351924304','fertility','wodt','1','0','0.04045381069183349','0.00841135126199588','{}','78.04','39.52','35.06');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:49','crossval','0.6640084611316763','0.048474808452857704','haberman-survival','wodt','1','0','0.32871198177337646','0.02643309032590381','{}','424.36','212.68','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:54','crossval','0.761928696668615','0.052100433118643194','heart-hungarian','wodt','1','0','0.11314688682556152','0.013030431455297935','{}','57.68','29.34','9.2');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:00:56','crossval','0.7683870967741936','0.0837940093572466','hepatitis','wodt','1','0','0.03757859230041504','0.005527666828601125','{}','20.32','10.66','6.16');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:01:19','crossval','0.6778588269967581','0.035631066332769044','ilpd-indian-liver','wodt','1','0','0.44293310165405275','0.02318993516217465','{}','212.28','106.64','16.96');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:01:23','crossval','0.8794607645875252','0.03858080219956032','ionosphere','wodt','1','0','0.08169928550720215','0.014760393199562556','{}','24.6','12.8','6.9');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:01:24','crossval','0.9466666666666668','0.036514837167011066','iris','wodt','1','0','0.03406909465789795','0.007792910577112206','{}','13.96','7.48','6.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:02:57','crossval','0.7047','0.02916179006851258','led-display','wodt','1','0','1.8177833700180053','0.03849057792153148','{}','4140.2','2070.6','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:03:11','crossval','0.7755555555555556','0.05481168659742484','libras','wodt','1','0','0.27989047050476074','0.016119343361462618','{}','117.28','59.14','11.56');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:03:22','crossval','0.855533415623347','0.03222774975371431','low-res-spect','wodt','1','0','0.22004926681518555','0.02051121303758952','{}','75.48','38.24','9.38');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:03:24','crossval','0.7800459770114943','0.07599005574288029','lymphography','wodt','1','0','0.04338667392730713','0.007169807154844494','{}','22.76','11.88','6.56');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:04:31','crossval','0.7579566062176167','0.024906146679797566','mammographic','wodt','1','0','1.3191192150115967','0.06377484804240535','{}','2984.32','1492.66','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:04:32','crossval','0.778917748917749','0.07679562169715945','molec-biol-promoter','wodt','1','0','0.01713259220123291','0.004228067986730051','{}','8.8','4.9','3.88');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:04:39','crossval','0.8411776315789474','0.03449014306500045','musk-1','wodt','1','0','0.13893579959869384','0.015959383200174378','{}','44.52','22.76','7.96');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:05:13','crossval','0.7348373983739838','0.026142104476547204','oocytes_merluccius_nucleus_4d','wodt','1','0','0.6668573570251465','0.03862946115196275','{}','264.52','132.76','16.5');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:05:28','crossval','0.902934481109517','0.022147306742109327','oocytes_merluccius_states_2f','wodt','1','0','0.29534827709197997','0.02408871205114048','{}','95.84','48.42','12.06');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:05:54','crossval','0.7491436978322225','0.03602040782195508','oocytes_trisopterus_nucleus_2f','wodt','1','0','0.5095158767700195','0.026787968415913528','{}','208.64','104.82','14.8');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:11','crossval','0.8888062211013031','0.021400267111632645','oocytes_trisopterus_states_5b','wodt','1','0','0.3408918809890747','0.02459737016164071','{}','102.32','51.66','12.14');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:13','crossval','0.9005128205128206','0.05144589211891057','parkinsons','wodt','1','0','0.03755650043487549','0.0055346813440645196','{}','17.56','9.28','6.54');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:35','crossval','0.6881622952211188','0.035111562938444044','pima','wodt','1','0','0.4496764326095581','0.02532156272811432','{}','213.52','107.26','13.4');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:38','crossval','0.7994805194805195','0.07743566315819515','pittsburg-bridges-MATERIAL','wodt','1','0','0.05021570205688477','0.009410007593921434','{}','77.2','39.1','32.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:42','crossval','0.6184285714285714','0.08544243928422808','pittsburg-bridges-REL-L','wodt','1','0','0.0856327199935913','0.01206977657598635','{}','102.44','51.72','33.62');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:47','crossval','0.5871929824561403','0.11611933933595711','pittsburg-bridges-SPAN','wodt','1','0','0.08850471019744872','0.01288454549497007','{}','159.64','80.32','47.52');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:49','crossval','0.8375238095238096','0.07413072965623015','pittsburg-bridges-T-OR-D','wodt','1','0','0.04482726097106934','0.010121781217995826','{}','77.08','39.04','33.58');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:06:55','crossval','0.5682732732732733','0.08743812057354583','planning','wodt','1','0','0.10776758670806885','0.009435431139709126','{}','65.68','33.34','9.6');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:07:01','crossval','0.5566666666666666','0.10627822791331752','post-operative','wodt','1','0','0.12359104156494141','0.019255192613378998','{}','394.28','197.64','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:07:03','crossval','0.9290476190476191','0.04218789629863413','seeds','wodt','1','0','0.05114206314086914','0.007995720238256614','{}','21.04','11.02','6.38');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:07:28','crossval','0.5617391304347826','0.03785467296768582','statlog-australian-credit','wodt','1','0','0.4804474115371704','0.023263094298249142','{}','249.8','125.4','15.34');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:07:49','crossval','0.6824999999999999','0.021430118991736812','statlog-german-credit','wodt','1','0','0.4173238658905029','0.0237067092245993','{}','167.52','84.26','12.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:07:53','crossval','0.7777777777777779','0.04757493547653752','statlog-heart','wodt','1','0','0.08699676513671875','0.011156491677164773','{}','42.04','21.52','8.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:08:32','crossval','0.9534199134199135','0.011148678082818688','statlog-image','wodt','1','0','0.7622523880004883','0.052632139624214015','{}','153.48','77.24','14.96');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:08:58','crossval','0.7296756004176818','0.03014045315193517','statlog-vehicle','wodt','1','0','0.5175681924819946','0.024014845715041234','{}','209.84','105.42','15.54');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:09:03','crossval','0.9785','0.01453826368969525','synthetic-control','wodt','1','0','0.08846463680267334','0.008108597144269578','{}','14.16','7.58','4.92');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:09:14','crossval','0.9422676701570681','0.03344804236125215','tic-tac-toe','wodt','1','0','0.22330509185791014','0.053312060008532364','{}','55.28','28.14','8.68');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:09:21','crossval','0.8070967741935482','0.05624015696050971','vertebral-column-2clases','wodt','1','0','0.1441294479370117','0.015495407104435137','{}','68.68','34.84','12.62');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:09:22','crossval','0.967920634920635','0.028208046326376822','wine','wodt','1','0','0.01987697124481201','0.0038291950882230197','{}','6.28','3.64','3.32');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','19:09:23','crossval','0.9514285714285715','0.043724036675722826','zoo','wodt','1','0','0.025926527976989747','0.002762031255448493','{}','14.12','7.56','5.28');
|
||||
@@ -1,56 +1,55 @@
|
||||
* Process all datasets set with wodt: tanveer norm: True std: False store in: wodt
|
||||
* Process all datasets set with wodt: tanveer norm: False std: False store in: wodt
|
||||
5 Fold Cross Validation with 10 random seeds [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]
|
||||
|
||||
Dataset Samp Var Cls Nodes Leaves Depth Accuracy Time Parameters
|
||||
============================== ===== === === ======= ======= ======= =============== =============== ==========
|
||||
balance-scale 625 4 3 75.52 38.26 9.70 0.921280±0.0314 0.198393±0.0218 {}
|
||||
balloons 16 4 2 4.84 2.92 2.88 0.678333±0.2528 0.004937±0.0019 {}
|
||||
breast-cancer-wisc-diag 569 30 2 14.72 7.86 6.10 0.965904±0.0143 0.062668±0.0123 {}
|
||||
breast-cancer-wisc-prog 198 33 2 37.04 19.02 7.76 0.707551±0.0676 0.067855±0.0089 {}
|
||||
breast-cancer-wisc 699 9 2 33.48 17.24 8.16 0.942351±0.0177 0.119169±0.0161 {}
|
||||
breast-cancer 286 9 2 415.64 208.32 50.00 0.663249±0.0493 0.216334±0.0219 {}
|
||||
cardiotocography-10clases 2126 21 10 638.16 319.58 50.00 0.779304±0.0199 1.415190±0.0509 {}
|
||||
cardiotocography-3clases 2126 21 3 325.12 163.06 45.84 0.901412±0.0160 0.726560±0.0564 {}
|
||||
conn-bench-sonar-mines-rocks 208 60 2 21.88 11.44 5.86 0.804123±0.0582 0.047346±0.0063 {}
|
||||
cylinder-bands 512 35 2 75.84 38.42 9.72 0.702545±0.0371 0.175128±0.0158 {}
|
||||
dermatology 366 34 6 15.28 8.14 6.22 0.964187±0.0166 0.056320±0.0069 {}
|
||||
echocardiogram 131 10 2 28.64 14.82 7.86 0.742365±0.0802 0.046372±0.0072 {}
|
||||
fertility 100 9 2 78.04 39.52 35.06 0.804000±0.0677 0.040254±0.0085 {}
|
||||
haberman-survival 306 3 2 424.36 212.68 50.00 0.664008±0.0485 0.328691±0.0269 {}
|
||||
heart-hungarian 294 12 2 57.68 29.34 9.20 0.761929±0.0521 0.111243±0.0129 {}
|
||||
hepatitis 155 19 2 20.32 10.66 6.16 0.768387±0.0838 0.036927±0.0055 {}
|
||||
ilpd-indian-liver 583 9 2 212.28 106.64 16.96 0.677859±0.0356 0.430718±0.0227 {}
|
||||
ionosphere 351 33 2 24.60 12.80 6.90 0.879461±0.0386 0.078043±0.0138 {}
|
||||
iris 150 4 3 13.96 7.48 6.30 0.946667±0.0365 0.031524±0.0068 {}
|
||||
led-display 1000 7 10 4140.20 2070.60 50.00 0.704700±0.0292 1.788902±0.0435 {}
|
||||
libras 360 90 15 117.28 59.14 11.56 0.775556±0.0548 0.274540±0.0164 {}
|
||||
low-res-spect 531 100 9 75.48 38.24 9.38 0.855533±0.0322 0.214980±0.0220 {}
|
||||
lymphography 148 18 4 22.76 11.88 6.56 0.780046±0.0760 0.042432±0.0070 {}
|
||||
mammographic 961 5 2 2984.32 1492.66 50.00 0.757957±0.0249 1.290867±0.0647 {}
|
||||
molec-biol-promoter 106 57 2 8.80 4.90 3.88 0.778918±0.0768 0.016753±0.0042 {}
|
||||
musk-1 476 166 2 44.52 22.76 7.96 0.841178±0.0345 0.134605±0.0152 {}
|
||||
oocytes_merluccius_nucleus_4d 1022 41 2 264.52 132.76 16.50 0.734837±0.0261 0.650283±0.0380 {}
|
||||
oocytes_merluccius_states_2f 1022 25 3 95.84 48.42 12.06 0.902934±0.0221 0.287351±0.0240 {}
|
||||
oocytes_trisopterus_nucleus_2f 912 25 2 208.64 104.82 14.80 0.749144±0.0360 0.499573±0.0277 {}
|
||||
oocytes_trisopterus_states_5b 912 32 3 102.32 51.66 12.14 0.888806±0.0214 0.329667±0.0246 {}
|
||||
parkinsons 195 22 2 17.56 9.28 6.54 0.900513±0.0514 0.035993±0.0053 {}
|
||||
pima 768 8 2 213.52 107.26 13.40 0.688162±0.0351 0.436215±0.0229 {}
|
||||
pittsburg-bridges-MATERIAL 106 7 3 77.20 39.10 32.82 0.799481±0.0774 0.049736±0.0105 {}
|
||||
pittsburg-bridges-REL-L 103 7 3 102.44 51.72 33.62 0.618429±0.0854 0.084359±0.0114 {}
|
||||
pittsburg-bridges-SPAN 92 7 3 159.64 80.32 47.52 0.587193±0.1161 0.087624±0.0137 {}
|
||||
pittsburg-bridges-T-OR-D 102 7 2 77.08 39.04 33.58 0.837524±0.0741 0.043616±0.0101 {}
|
||||
planning 182 12 2 65.68 33.34 9.60 0.568273±0.0874 0.105671±0.0100 {}
|
||||
post-operative 90 8 3 394.28 197.64 50.00 0.556667±0.1063 0.122731±0.0191 {}
|
||||
seeds 210 7 3 21.04 11.02 6.38 0.929048±0.0422 0.049382±0.0075 {}
|
||||
statlog-australian-credit 690 14 2 249.80 125.40 15.34 0.561739±0.0379 0.465245±0.0223 {}
|
||||
statlog-german-credit 1000 24 2 167.52 84.26 12.08 0.682500±0.0214 0.402345±0.0212 {}
|
||||
statlog-heart 270 13 2 42.04 21.52 8.18 0.777778±0.0476 0.084237±0.0109 {}
|
||||
statlog-image 2310 18 7 153.48 77.24 14.96 0.953420±0.0111 0.726321±0.0496 {}
|
||||
statlog-vehicle 846 18 4 209.84 105.42 15.54 0.729676±0.0301 0.496708±0.0249 {}
|
||||
synthetic-control 600 60 6 14.16 7.58 4.92 0.978500±0.0145 0.083450±0.0079 {}
|
||||
tic-tac-toe 958 9 2 55.28 28.14 8.68 0.942268±0.0334 0.212287±0.0517 {}
|
||||
vertebral-column-2clases 310 6 2 68.68 34.84 12.62 0.807097±0.0562 0.139532±0.0144 {}
|
||||
wine 178 13 3 6.28 3.64 3.32 0.967921±0.0282 0.018951±0.0037 {}
|
||||
zoo 101 16 7 14.12 7.56 5.28 0.951429±0.0437 0.025042±0.0025 {}
|
||||
- Auto Hyperparams ..: {}
|
||||
Time: 0h 11m 18s
|
||||
balance-scale 625 4 3 75.52 38.26 9.70 0.921280±0.0314 0.204058±0.0226 {}
|
||||
balloons 16 4 2 4.84 2.92 2.88 0.678333±0.2528 0.004955±0.0019 {}
|
||||
breast-cancer-wisc-diag 569 30 2 14.72 7.86 6.10 0.965904±0.0143 0.064642±0.0121 {}
|
||||
breast-cancer-wisc-prog 198 33 2 37.04 19.02 7.76 0.707551±0.0676 0.069295±0.0090 {}
|
||||
breast-cancer-wisc 699 9 2 33.48 17.24 8.16 0.942351±0.0177 0.124956±0.0168 {}
|
||||
breast-cancer 286 9 2 415.64 208.32 50.00 0.663249±0.0493 0.218008±0.0214 {}
|
||||
cardiotocography-10clases 2126 21 10 638.16 319.58 50.00 0.779304±0.0199 1.493108±0.1273 {}
|
||||
cardiotocography-3clases 2126 21 3 325.12 163.06 45.84 0.901412±0.0160 0.774876±0.0742 {}
|
||||
conn-bench-sonar-mines-rocks 208 60 2 21.88 11.44 5.86 0.804123±0.0582 0.048834±0.0062 {}
|
||||
cylinder-bands 512 35 2 75.84 38.42 9.72 0.702545±0.0371 0.178728±0.0157 {}
|
||||
dermatology 366 34 6 15.28 8.14 6.22 0.964187±0.0166 0.057505±0.0053 {}
|
||||
echocardiogram 131 10 2 28.64 14.82 7.86 0.742365±0.0802 0.047158±0.0076 {}
|
||||
fertility 100 9 2 78.04 39.52 35.06 0.804000±0.0677 0.040454±0.0084 {}
|
||||
haberman-survival 306 3 2 424.36 212.68 50.00 0.664008±0.0485 0.328712±0.0264 {}
|
||||
heart-hungarian 294 12 2 57.68 29.34 9.20 0.761929±0.0521 0.113147±0.0130 {}
|
||||
hepatitis 155 19 2 20.32 10.66 6.16 0.768387±0.0838 0.037579±0.0055 {}
|
||||
ilpd-indian-liver 583 9 2 212.28 106.64 16.96 0.677859±0.0356 0.442933±0.0232 {}
|
||||
ionosphere 351 33 2 24.60 12.80 6.90 0.879461±0.0386 0.081699±0.0148 {}
|
||||
iris 150 4 3 13.96 7.48 6.30 0.946667±0.0365 0.034069±0.0078 {}
|
||||
led-display 1000 7 10 4140.20 2070.60 50.00 0.704700±0.0292 1.817783±0.0385 {}
|
||||
libras 360 90 15 117.28 59.14 11.56 0.775556±0.0548 0.279890±0.0161 {}
|
||||
low-res-spect 531 100 9 75.48 38.24 9.38 0.855533±0.0322 0.220049±0.0205 {}
|
||||
lymphography 148 18 4 22.76 11.88 6.56 0.780046±0.0760 0.043387±0.0072 {}
|
||||
mammographic 961 5 2 2984.32 1492.66 50.00 0.757957±0.0249 1.319119±0.0638 {}
|
||||
molec-biol-promoter 106 57 2 8.80 4.90 3.88 0.778918±0.0768 0.017133±0.0042 {}
|
||||
musk-1 476 166 2 44.52 22.76 7.96 0.841178±0.0345 0.138936±0.0160 {}
|
||||
oocytes_merluccius_nucleus_4d 1022 41 2 264.52 132.76 16.50 0.734837±0.0261 0.666857±0.0386 {}
|
||||
oocytes_merluccius_states_2f 1022 25 3 95.84 48.42 12.06 0.902934±0.0221 0.295348±0.0241 {}
|
||||
oocytes_trisopterus_nucleus_2f 912 25 2 208.64 104.82 14.80 0.749144±0.0360 0.509516±0.0268 {}
|
||||
oocytes_trisopterus_states_5b 912 32 3 102.32 51.66 12.14 0.888806±0.0214 0.340892±0.0246 {}
|
||||
parkinsons 195 22 2 17.56 9.28 6.54 0.900513±0.0514 0.037557±0.0055 {}
|
||||
pima 768 8 2 213.52 107.26 13.40 0.688162±0.0351 0.449676±0.0253 {}
|
||||
pittsburg-bridges-MATERIAL 106 7 3 77.20 39.10 32.82 0.799481±0.0774 0.050216±0.0094 {}
|
||||
pittsburg-bridges-REL-L 103 7 3 102.44 51.72 33.62 0.618429±0.0854 0.085633±0.0121 {}
|
||||
pittsburg-bridges-SPAN 92 7 3 159.64 80.32 47.52 0.587193±0.1161 0.088505±0.0129 {}
|
||||
pittsburg-bridges-T-OR-D 102 7 2 77.08 39.04 33.58 0.837524±0.0741 0.044827±0.0101 {}
|
||||
planning 182 12 2 65.68 33.34 9.60 0.568273±0.0874 0.107768±0.0094 {}
|
||||
post-operative 90 8 3 394.28 197.64 50.00 0.556667±0.1063 0.123591±0.0193 {}
|
||||
seeds 210 7 3 21.04 11.02 6.38 0.929048±0.0422 0.051142±0.0080 {}
|
||||
statlog-australian-credit 690 14 2 249.80 125.40 15.34 0.561739±0.0379 0.480447±0.0233 {}
|
||||
statlog-german-credit 1000 24 2 167.52 84.26 12.08 0.682500±0.0214 0.417324±0.0237 {}
|
||||
statlog-heart 270 13 2 42.04 21.52 8.18 0.777778±0.0476 0.086997±0.0112 {}
|
||||
statlog-image 2310 18 7 153.48 77.24 14.96 0.953420±0.0111 0.762252±0.0526 {}
|
||||
statlog-vehicle 846 18 4 209.84 105.42 15.54 0.729676±0.0301 0.517568±0.0240 {}
|
||||
synthetic-control 600 60 6 14.16 7.58 4.92 0.978500±0.0145 0.088465±0.0081 {}
|
||||
tic-tac-toe 958 9 2 55.28 28.14 8.68 0.942268±0.0334 0.223305±0.0533 {}
|
||||
vertebral-column-2clases 310 6 2 68.68 34.84 12.62 0.807097±0.0562 0.144129±0.0155 {}
|
||||
wine 178 13 3 6.28 3.64 3.32 0.967921±0.0282 0.019877±0.0038 {}
|
||||
zoo 101 16 7 14.12 7.56 5.28 0.951429±0.0437 0.025927±0.0028 {}
|
||||
Time: 0h 11m 39s
|
||||
|
||||
343
results/normalizados/normalizados.sql
Normal file
343
results/normalizados/normalizados.sql
Normal file
@@ -0,0 +1,343 @@
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:20:51', 'crossval', 0.706738, 'balance-scale', 'BaseRaF', 1, 0, '{}', 0.230848, 0.0318996, 0.0178062, 28.81);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:20:52', 'crossval', 0.605, 'balloons', 'BaseRaF', 1, 0, '{}', 0.230195, 0.0011394, 0.000448618, 4.65);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:21:06', 'crossval', 0.965694, 'breast-cancer-wisc-diag', 'BaseRaF', 1, 0, '{}', 0.0143465, 0.0149353, 0.00289327, 10.81);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:21:12', 'crossval', 0.74485, 'breast-cancer-wisc-prog', 'BaseRaF', 1, 0, '{}', 0.0541356, 0.00703754, 0.000955761, 16.44);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:21:27', 'crossval', 0.942857, 'breast-cancer-wisc', 'BaseRaF', 1, 0, '{}', 0.0166086, 0.0151967, 0.0017186, 28.89);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:21:40', 'crossval', 0.656438, 'breast-cancer', 'BaseRaF', 1, 0, '{}', 0.0500531, 0.0192996, 0.00201731, 64.88);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:25:14', 'crossval', 0.774788, 'cardiotocography-10clases', 'BaseRaF', 1, 0, '{}', 0.0179435, 0.42372, 0.111354, 255.01);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:27:36', 'crossval', 0.896715, 'cardiotocography-3clases', 'BaseRaF', 1, 0, '{}', 0.0129992, 0.381444, 0.0666812, 106.66);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:27:41', 'crossval', 0.772981, 'conn-bench-sonar-mines-rocks', 'BaseRaF', 1, 0, '{}', 0.054519, 0.00598101, 0.000759466, 13.5);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:02', 'crossval', 0.675117, 'cylinder-bands', 'BaseRaF', 1, 0, '{}', 0.0359021, 0.0249964, 0.00202589, 47.54);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:13', 'crossval', 0.970723, 'dermatology', 'BaseRaF', 1, 0, '{}', 0.0175846, 0.0121389, 0.0010901, 13.93);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:18', 'crossval', 0.753522, 'echocardiogram', 'BaseRaF', 1, 0, '{}', 0.0718413, 0.00750033, 0.00161811, 20.14);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:21', 'crossval', 0.798, 'fertility', 'BaseRaF', 1, 0, '{}', 0.0787592, 0.00438735, 0.00082982, 15.92);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:31', 'crossval', 0.720133, 'haberman-survival', 'BaseRaF', 1, 0, '{}', 0.0475346, 0.0131448, 0.00499674, 32.68);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:43', 'crossval', 0.779804, 'heart-hungarian', 'BaseRaF', 1, 0, '{}', 0.0445811, 0.0166187, 0.00157407, 50.97);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:28:47', 'crossval', 0.773671, 'hepatitis', 'BaseRaF', 1, 0, '{}', 0.0639841, 0.00578021, 0.000831726, 16.34);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:29:13', 'crossval', 0.696685, 'ilpd-indian-liver', 'BaseRaF', 1, 0, '{}', 0.0356957, 0.0304009, 0.010731, 78.23);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:29:22', 'crossval', 0.875389, 'ionosphere', 'BaseRaF', 1, 0, '{}', 0.0343367, 0.00810207, 0.00126368, 14.86);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:29:25', 'crossval', 0.953413, 'iris', 'BaseRaF', 1, 0, '{}', 0.0312751, 0.00319496, 0.000564433, 10.65);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:30:28', 'crossval', 0.70178, 'led-display', 'BaseRaF', 1, 0, '{}', 0.0236684, 0.0837334, 0.00515429, 133.27);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:31:24', 'crossval', 0.726722, 'libras', 'BaseRaF', 1, 0, '{}', 0.0462516, 0.194452, 0.0319483, 65);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:31:49', 'crossval', 0.790875, 'low-res-spect', 'BaseRaF', 1, 0, '{}', 0.0338948, 0.0700037, 0.00737621, 22.25);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:31:54', 'crossval', 0.761622, 'lymphography', 'BaseRaF', 1, 0, '{}', 0.072691, 0.00602972, 0.000858306, 17.09);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:32:50', 'crossval', 0.780206, 'mammographic', 'BaseRaF', 1, 0, '{}', 0.0261463, 0.0725665, 0.00665848, 177.33);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:32:52', 'crossval', 0.667239, 'molec-biol-promoter', 'BaseRaF', 1, 0, '{}', 0.0894839, 0.00204324, 0.000882715, 4.23);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:33:10', 'crossval', 0.834034, 'musk-1', 'BaseRaF', 1, 0, '{}', 0.0355503, 0.0294025, 0.00582493, 32.15);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:33:59', 'crossval', 0.792313, 'oocytes_merluccius_nucleus_4d', 'BaseRaF', 1, 0, '{}', 0.0236722, 0.0609631, 0.00810882, 76.76);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:34:47', 'crossval', 0.910551, 'oocytes_merluccius_states_2f', 'BaseRaF', 1, 0, '{}', 0.0178087, 0.0589824, 0.00537782, 46.61);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:35:27', 'crossval', 0.76193, 'oocytes_trisopterus_nucleus_2f', 'BaseRaF', 1, 0, '{}', 0.0290605, 0.0437252, 0.00599953, 84.37);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:36:01', 'crossval', 0.922149, 'oocytes_trisopterus_states_5b', 'BaseRaF', 1, 0, '{}', 0.016058, 0.0338147, 0.0038348, 28.44);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:36:06', 'crossval', 0.87924, 'parkinsons', 'BaseRaF', 1, 0, '{}', 0.0434764, 0.00664538, 0.000956323, 18.21);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:36:50', 'crossval', 0.697005, 'pima', 'BaseRaF', 1, 0, '{}', 0.0329339, 0.0598898, 0.00405292, 179.02);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:36:54', 'crossval', 0.81136, 'pittsburg-bridges-MATERIAL', 'BaseRaF', 1, 0, '{}', 0.0721078, 0.00614998, 0.000956048, 18.21);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:36:59', 'crossval', 0.622107, 'pittsburg-bridges-REL-L', 'BaseRaF', 1, 0, '{}', 0.0836926, 0.0107519, 0.00245178, 33.92);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:37:04', 'crossval', 0.630217, 'pittsburg-bridges-SPAN', 'BaseRaF', 1, 0, '{}', 0.0855243, 0.0103792, 0.00144035, 32.74);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:37:07', 'crossval', 0.821007, 'pittsburg-bridges-T-OR-D', 'BaseRaF', 1, 0, '{}', 0.071734, 0.00451751, 0.000865693, 15.6);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:37:16', 'crossval', 0.590586, 'planning', 'BaseRaF', 1, 0, '{}', 0.0720305, 0.0149104, 0.00202668, 49.52);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:37:21', 'crossval', 0.539375, 'post-operative', 'BaseRaF', 1, 0, '{}', 0.102817, 0.00860377, 0.00125772, 28.27);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:37:25', 'crossval', 0.942518, 'seeds', 'BaseRaF', 1, 0, '{}', 0.0293366, 0.00587637, 0.000679482, 14.71);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:37:27', 'crossval', 0.678261, 'statlog-australian-credit', 'BaseRaF', 1, 0, '{}', 0.0319213, 0.00851742, 0.00101665, 1);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:38:23', 'crossval', 0.68762, 'statlog-german-credit', 'BaseRaF', 1, 0, '{}', 0.0285632, 0.0759742, 0.00988248, 118.37);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:38:33', 'crossval', 0.747605, 'statlog-heart', 'BaseRaF', 1, 0, '{}', 0.0505201, 0.01431, 0.00186931, 34.9);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:41:32', 'crossval', 0.953604, 'statlog-image', 'BaseRaF', 1, 0, '{}', 0.0428999, 0.459961, 0.209446, 91.85);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:42:14', 'crossval', 0.789572, 'statlog-vehicle', 'BaseRaF', 1, 0, '{}', 0.0290904, 0.0418569, 0.00252999, 79.05);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:42:32', 'crossval', 0.971567, 'synthetic-control', 'BaseRaF', 1, 0, '{}', 0.0148618, 0.0233277, 0.00241783, 15.44);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:42:58', 'crossval', 0.974906, 'tic-tac-toe', 'BaseRaF', 1, 0, '{}', 0.0119599, 0.0372124, 0.00723869, 21.49);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:43:10', 'crossval', 0.822601, 'vertebral-column-2clases', 'BaseRaF', 1, 0, '{}', 0.0397492, 0.016375, 0.00309965, 45.54);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:43:13', 'crossval', 0.97748, 'wine', 'BaseRaF', 1, 0, '{}', 0.020518, 0.00259591, 0.000401448, 6.86);
|
||||
replace into results (date, time, type, accuracy, dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std, nodes) values ('2021-04-10', '01:43:15', 'crossval', 0.936262, 'zoo', 'BaseRaF', 1, 0, '{}', 0.0494478, 0.00416789, 0.00034269, 13.2);
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:19','crossval','0.7820799999999999','0.03608203985364464','balance-scale','cart','1','0','0.0006873464584350586','6.056292602707366e-05','{}','256.8','128.9','10.72');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:19','crossval','0.6833333333333335','0.26977356760397747','balloons','cart','1','0','0.0004589319229125977','6.682214388089997e-05','{}','11.36','6.18','3.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:20','crossval','0.9239217512808571','0.02323176886368342','breast-cancer-wisc-diag','cart','1','0','0.004066610336303711','0.00037735371598770866','{}','36.16','18.58','7.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:20','crossval','0.6919743589743588','0.07238575982092108','breast-cancer-wisc-prog','cart','1','0','0.0016518211364746093','0.00016523387709218434','{}','43.2','22.1','7.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:20','crossval','0.9434984583761563','0.02073055093670967','breast-cancer-wisc','cart','1','0','0.000748910903930664','6.367492730058185e-05','{}','57.52','29.26','8.72');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:20','crossval','0.6359225650332728','0.0534792000241946','breast-cancer','cart','1','0','0.0006718873977661133','8.342001699012386e-05','{}','164.72','82.86','15.56');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:20','crossval','0.8105368682684342','0.019247308169627633','cardiotocography-10clases','cart','1','0','0.009399790763854981','0.000310402623122502','{}','480.84','240.92','20.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:21','crossval','0.9203670809168737','0.01396855482026071','cardiotocography-3clases','cart','1','0','0.00814661979675293','0.0005860086312648286','{}','210.96','105.98','15.88');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:21','crossval','0.7258768873403021','0.0682090752129407','conn-bench-sonar-mines-rocks','cart','1','0','0.0025511789321899414','0.0002510580336619537','{}','34.16','17.58','6.44');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:21','crossval','0.7130211307824103','0.04627911197423834','cylinder-bands','cart','1','0','0.0021189451217651367','0.000164014995951283','{}','131.96','66.48','13.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:21','crossval','0.9396038504257683','0.02387579095888003','dermatology','cart','1','0','0.0007885885238647461','0.00011540453341909482','{}','34.6','17.8','10.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:21','crossval','0.7458404558404559','0.080776687074494','echocardiogram','cart','1','0','0.0005904006958007813','6.0040661402099946e-05','{}','32.6','16.8','8.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:21','crossval','0.7989999999999999','0.08395832299420945','fertility','cart','1','0','0.0004935407638549805','7.218480550167721e-05','{}','28.84','14.92','7.16');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:21','crossval','0.6382178741406662','0.05575144578993558','haberman-survival','cart','1','0','0.0006317853927612305','7.359752923339246e-05','{}','160.92','80.96','15.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:21','crossval','0.7502746931618937','0.044645868130612026','heart-hungarian','cart','1','0','0.0007543468475341797','8.493027944498374e-05','{}','83.08','42.04','9.6');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:22','crossval','0.7658064516129032','0.07350593002050229','hepatitis','cart','1','0','0.0006294441223144531','7.136307121991442e-05','{}','37.0','19.0','7.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:22','crossval','0.6625906277630415','0.03822153903302792','ilpd-indian-liver','cart','1','0','0.0015907526016235352','0.00010613849153297268','{}','186.32','93.66','18.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:22','crossval','0.8757907444668007','0.03797437861573896','ionosphere','cart','1','0','0.0031133270263671874','0.0004496306989895815','{}','40.32','20.66','9.88');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:22','crossval','0.94','0.043716256828679995','iris','cart','1','0','0.0004883623123168946','6.707633932216357e-05','{}','15.08','8.04','5.04');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:22','crossval','0.7037','0.029644729717101474','led-display','cart','1','0','0.0006838130950927734','7.497018504393881e-05','{}','156.6','78.8','7.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:22','crossval','0.6547222222222221','0.05983580929572253','libras','cart','1','0','0.00954397201538086','0.00041554126865619165','{}','132.32','66.66','11.16');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:23','crossval','0.8352036677834599','0.030503013555880365','low-res-spect','cart','1','0','0.01601393222808838','0.001041629752684619','{}','74.96','37.98','8.74');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:23','crossval','0.7690114942528736','0.0755835919787076','lymphography','cart','1','0','0.0005543041229248047','7.206299803216294e-05','{}','49.0','25.0','7.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:23','crossval','0.7557739637305698','0.02089031159057769','mammographic','cart','1','0','0.0009842538833618165','8.02737307480172e-05','{}','403.12','202.06','20.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:24','crossval','0.7158008658008658','0.08811757165025375','molec-biol-promoter','cart','1','0','0.0007098007202148437','9.733050797678472e-05','{}','22.24','11.62','5.24');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:25','crossval','0.777530701754386','0.04335321566037286','musk-1','cart','1','0','0.018938016891479493','0.0023793265663644494','{}','75.12','38.06','12.5');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:25','crossval','0.7196642754662842','0.03071950171876295','oocytes_merluccius_nucleus_4d','cart','1','0','0.013992009162902832','0.0011456969136993383','{}','222.24','111.62','15.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:26','crossval','0.8911927307508368','0.02477313298773685','oocytes_merluccius_states_2f','cart','1','0','0.007075467109680176','0.000580046153013565','{}','98.84','49.92','10.78');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:26','crossval','0.7257617246141836','0.029837690053299604','oocytes_trisopterus_nucleus_2f','cart','1','0','0.008345584869384765','0.00042809521443671906','{}','192.76','96.88','15.64');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:27','crossval','0.8702630156728517','0.025916263242401694','oocytes_trisopterus_states_5b','cart','1','0','0.009247007369995118','0.0004790588538986512','{}','109.12','55.06','12.56');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:27','crossval','0.8558974358974359','0.05822037527622443','parkinsons','cart','1','0','0.0010352849960327149','9.855723737448487e-05','{}','24.84','12.92','5.54');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:27','crossval','0.7009116373822256','0.031101392763464096','pima','cart','1','0','0.001743307113647461','0.00010421535409735057','{}','218.52','109.76','14.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:27','crossval','0.8006493506493506','0.07641918889128255','pittsburg-bridges-MATERIAL','cart','1','0','0.0004951238632202148','6.908799856069978e-05','{}','33.24','17.12','7.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:27','crossval','0.6143333333333333','0.09787364013413712','pittsburg-bridges-REL-L','cart','1','0','0.0005135631561279297','6.495038402721139e-05','{}','57.72','29.36','12.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:27','crossval','0.5564912280701755','0.09603550008778475','pittsburg-bridges-SPAN','cart','1','0','0.0005118465423583985','7.031496030423733e-05','{}','55.36','28.18','10.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:27','crossval','0.8234761904761905','0.08723519697826523','pittsburg-bridges-T-OR-D','cart','1','0','0.0004817628860473633','7.016788984381056e-05','{}','26.44','13.72','5.94');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:27','crossval','0.573963963963964','0.07834935548163284','planning','cart','1','0','0.0010381507873535156','0.00011806603047514821','{}','60.56','30.78','12.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:27','crossval','0.5822222222222222','0.10554970744033704','post-operative','cart','1','0','0.0005062770843505859','7.122806409227687e-05','{}','66.32','33.66','11.24');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:27','crossval','0.9157142857142857','0.042380952380952366','seeds','cart','1','0','0.0006688928604125976','6.788828620597182e-05','{}','25.04','13.02','6.14');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:27','crossval','0.572463768115942','0.040476058097881','statlog-australian-credit','cart','1','0','0.0019480609893798829','0.00011803304739191946','{}','269.88','135.44','18.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:28','crossval','0.6899','0.025129464777428084','statlog-german-credit','cart','1','0','0.0021873950958251954','9.371859211329562e-05','{}','331.92','166.46','16.42');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:28','crossval','0.7351851851851852','0.045699861775011355','statlog-heart','cart','1','0','0.0007651948928833008','6.677668508558311e-05','{}','73.68','37.34','8.86');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:28','crossval','0.9616017316017317','0.009472609323341975','statlog-image','cart','1','0','0.008970613479614259','0.0003288094001180248','{}','127.32','64.16','15.94');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:28','crossval','0.7063849634528365','0.030574747774242836','statlog-vehicle','cart','1','0','0.003118605613708496','0.00014468487911691033','{}','233.52','117.26','16.26');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:29','crossval','0.9023333333333332','0.02511307760244982','synthetic-control','cart','1','0','0.00933086395263672','0.00039118840253255936','{}','52.16','26.58','8.58');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:29','crossval','0.9522851221640489','0.018529859619663462','tic-tac-toe','cart','1','0','0.0008065223693847657','9.298620463823368e-05','{}','119.2','60.1','9.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:29','crossval','0.7996774193548387','0.04231712199258938','vertebral-column-2clases','cart','1','0','0.0008004426956176758','9.684473759962773e-05','{}','61.16','31.08','9.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:29','crossval','0.9015873015873015','0.0526003102936011','wine','cart','1','0','0.0007057809829711915','6.556413493732969e-05','{}','16.24','8.62','4.38');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:41:29','crossval','0.9555714285714286','0.044427856881917915','zoo','cart','1','0','0.0004845094680786133','6.487745318311946e-05','{}','17.96','9.48','6.8');
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'balance-scale', 0.94, 0.021836, 0.14862, 0.054757, 35.6);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'balloons', 0.595, 0.187831, 0.00504, 0.002683, 4.4);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'breast-cancer-wisc-diag', 0.952878, 0.023749, 0.03688, 0.007506, 13.48);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'breast-cancer-wisc-prog', 0.724038, 0.072215, 0.03234, 0.006895, 21.52);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'breast-cancer-wisc', 0.967674, 0.012478, 0.04816, 0.006961, 8.28);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'breast-cancer', 0.707719, 0.052367, 0.0713, 0.010275, 23.16);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'cardiotocography-10clases', 0.830812, 0.016194, 1.42148, 0.089646, 197.6);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'cardiotocography-3clases', 0.927327, 0.013055, 0.40532, 0.018162, 92.24);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'conn-bench-sonar-mines-rocks', 0.73892, 0.06386, 0.04418, 0.005117, 25.2);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'cylinder-bands', 0.726351, 0.029474, 0.1099, 0.0079, 85.4);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'dermatology', 0.955735, 0.023581, 0.0738, 0.016643, 15.12);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'echocardiogram', 0.805527, 0.084433, 0.02296, 0.005407, 13.4);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'fertility', 0.857, 0.071421, 0.02498, 0.005998, 4.48);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'haberman-survival', 0.714056, 0.04944, 0.02248, 0.010216, 4.44);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'heart-hungarian', 0.785026, 0.048182, 0.06344, 0.006888, 22.12);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'hepatitis', 0.761935, 0.058025, 0.03602, 0.005464, 16.6);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'ilpd-indian-liver', 0.690339, 0.04248, 0.05586, 0.011349, 14.24);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'ionosphere', 0.891984, 0.033857, 0.0462, 0.0036, 23.64);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'iris', 0.947333, 0.035957, 0.0133, 0.002914, 7.04);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'led-display', 0.7204, 0.028193, 1.31958, 0.102793, 13.04);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'libras', 0.66, 0.062869, 1.09746, 0.078557, 88.24);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'low-res-spect', 0.83358, 0.038622, 0.34854, 0.027053, 45.8);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'lymphography', 0.778552, 0.078755, 0.0553, 0.009578, 25.28);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'mammographic', 0.821435, 0.024479, 0.09182, 0.011567, 18.68);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'molec-biol-promoter', 0.744935, 0.092023, 0.02698, 0.004701, 16.0);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'musk-1', 0.82693, 0.046843, 0.32902, 0.029412, 50.72);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'oocytes_merluccius_nucleus_4d', 0.741766, 0.034628, 0.23738, 0.025296, 78.04);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'oocytes_merluccius_states_2f', 0.901374, 0.021463, 0.12582, 0.017535, 38.36);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'oocytes_trisopterus_nucleus_2f', 0.756587, 0.034538, 0.2026, 0.047357, 57.56);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'oocytes_trisopterus_states_5b', 0.887943, 0.02368, 0.1566, 0.015336, 56.12);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'parkinsons', 0.844615, 0.051642, 0.02474, 0.004582, 18.04);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'pima', 0.749876, 0.026553, 0.06754, 0.012694, 22.68);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'pittsburg-bridges-MATERIAL', 0.855844, 0.070512, 0.04744, 0.009731, 7.12);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'pittsburg-bridges-REL-L', 0.645048, 0.103969, 0.0741, 0.013543, 13.52);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'pittsburg-bridges-SPAN', 0.621579, 0.123278, 0.05116, 0.010828, 10.7);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'pittsburg-bridges-T-OR-D', 0.838333, 0.077644, 0.02828, 0.00596, 6.72);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'planning', 0.711381, 0.050453, 0.0074, 0.003504, 1.08);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'post-operative', 0.701111, 0.086702, 0.0495, 0.013578, 1.88);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'seeds', 0.909524, 0.049027, 0.02798, 0.006433, 13.28);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'statlog-australian-credit', 0.66029, 0.03596, 0.17408, 0.022439, 85.16);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'statlog-german-credit', 0.7244, 0.028664, 0.23886, 0.01523, 127.24);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'statlog-heart', 0.795926, 0.049896, 0.0645, 0.007953, 18.64);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'statlog-image', 0.967403, 0.010826, 0.35438, 0.03814, 69.8);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'statlog-vehicle', 0.729651, 0.03218, 0.29036, 0.024589, 93.44);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'synthetic-control', 0.922333, 0.030342, 0.17098, 0.019401, 35.32);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'tic-tac-toe', 0.983295, 0.007889, 0.07022, 0.007588, 3.0);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'vertebral-column-2clases', 0.84871, 0.047834, 0.02314, 0.006512, 10.32);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'wine', 0.979143, 0.020263, 0.00792, 0.002115, 4.32);
|
||||
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'zoo', 0.92381, 0.046715, 0.09676, 0.012512, 14.48);
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.914399992","0.029593164241038455","balance-scale","oc1","1","0","0.17813794","0.023289144146532288","{}","19.6","6.6","7.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.589999968","0.26073331346959727","balloons","oc1","1","0","0.00094728","0.001090430078792168","{}","2.2","1.0","2.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.933611682","0.026153564189107213","breast-cancer-wisc-diag","oc1","1","0","0.516594","0.07952581217903214","{}","10.8","4.2","6.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.703846134","0.07650658245540416","breast-cancer-wisc-prog","oc1","1","0","0.15890134","0.04370013376134668","{}","13.8","5.0","6.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.945050076","0.015173648280147277","breast-cancer-wisc","oc1","1","0","0.2607718","0.038253786220504786","{}","15.0","5.2","7.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.669679358","0.07527221131701325","breast-cancer","oc1","1","0","0.12581208","0.03088834358164839","{}","30.2","7.8","10.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.805643748","0.020680279226445945","cardiotocography-10clases","oc1","1","0","6.26399314","0.39467220223551214","{}","155.2","50.8","15.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.909497716","0.013982362833392525","cardiotocography-3clases","oc1","1","0","3.40962502","0.4805920398963494","{}","66.8","21.4","11.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.715410214","0.0850464558161465","conn-bench-sonar-mines-rocks","oc1","1","0","0.09973326","0.00873889882104661","{}","12.0","5.0","5.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.677726236","0.043664867326531236","cylinder-bands","oc1","1","0","0.54450298","0.12061985257833803","{}","46.8","14.2","11.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.931162552","0.037573204772383274","dermatology","oc1","1","0","0.32974968","0.02642380620780729","{}","10.6","3.4","6.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.748119658","0.08717495251201153","echocardiogram","oc1","1","0","0.03558404","0.006167666429212982","{}","9.0","3.2","5.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.772","0.08339725439615099","fertility","oc1","1","0","0.0246852","0.0063601546765942795","{}","6.8","1.8","5.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.641221574","0.07049310650191065","haberman-survival","oc1","1","0","0.07645778","0.008640722861130146","{}","34.8","9.4","10.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.750522798","0.06329668712180851","heart-hungarian","oc1","1","0","0.12721674","0.01968146537684631","{}","21.2","6.2","7.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.779354858","0.08481264197652374","hepatitis","oc1","1","0","0.04829858","0.013435143305388541","{}","10.0","3.4","5.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.664915948","0.049496575823232414","ilpd-indian-liver","oc1","1","0","0.2768607","0.029329177445029733","{}","58.0","16.8","15.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.89059155","0.03733780370201089","ionosphere","oc1","1","0","0.27596064","0.039062500840429705","{}","11.0","3.0","7.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.949333302","0.03882632447334653","iris","oc1","1","0","0.01674434","0.003383157603753738","{}","3.2","1.0","3.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.7017","0.02933984544288269","led-display","oc1","1","0","0.32120998","0.01837035840305612","{}","61.0","22.8","8.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.633611112","0.06095436683067444","libras","oc1","1","0","0.57236222","0.08787593798548135","{}","52.4","18.4","8.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.832939518","0.03553219969478499","low-res-spect","oc1","1","0","1.11549722","0.2060864748626604","{}","31.0","10.2","8.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.730237072","0.09173834512482136","lymphography","oc1","1","0","0.0570192","0.009503014305890484","{}","8.6","3.4","4.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.772657058","0.0410826060780536","mammographic","oc1","1","0","0.35867934","0.028162362575267302","{}","89.2","23.0","14.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.73480519","0.07929681982000171","molec-biol-promoter","oc1","1","0","0.00306176","0.00022894465599835275","{}","9.8","3.4","4.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.76912501","0.045549030106832825","musk-1","oc1","1","0","0.6886358","0.062134767353564886","{}","29.2","9.8","11.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.725179892","0.03125153408262522","oocytes_merluccius_nucleus_4d","oc1","1","0","1.27356236","0.1700721351281609","{}","82.0","26.0","12.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.88541974","0.022980862858349885","oocytes_merluccius_states_2f","oc1","1","0","1.08533236","0.14427176657928803","{}","32.6","10.6","7.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.722030574","0.03423923425578281","oocytes_trisopterus_nucleus_2f","oc1","1","0","0.77692402","0.07514951397414764","{}","70.2","22.4","12.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.86676659","0.02691477761893708","oocytes_trisopterus_states_5b","oc1","1","0","1.14587276","0.1453252997908078","{}","44.0","14.8","12.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.846666676","0.058030588988076656","parkinsons","oc1","1","0","0.089654","0.0215467307459098","{}","8.8","3.4","5.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.693122168","0.03596779276948685","pima","oc1","1","0","0.42004508","0.046603391710168786","{}","60.6","20.0","9.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.803766236","0.09698857763603047","pittsburg-bridges-MATERIAL","oc1","1","0","0.01900612","0.0037102353775380196","{}","6.6","2.6","3.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.62873913","0.11035406374176591","pittsburg-bridges-REL-L","oc1","1","0","0.024444","0.0034031673182372867","{}","13.8","4.2","6.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.5948888800000001","0.1164685695698971","pittsburg-bridges-SPAN","oc1","1","0","0.02011346","0.0026302542998806818","{}","12.0","4.0","5.8");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.817545458","0.07618192337367363","pittsburg-bridges-T-OR-D","oc1","1","0","0.01492558","0.004406823813828101","{}","7.6","2.0","5.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.56903508","0.09440187538222114","planning","oc1","1","0","0.06582026","0.01530466685369038","{}","20.4","6.2","8.6");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.566666656","0.11771743358490966","post-operative","oc1","1","0","0.0198988","0.005006215133130385","{}","15.6","4.2","7.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.926666678","0.036898101629179524","seeds","oc1","1","0","0.03759648","0.004142453434714205","{}","5.4","2.2","4.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.587536242","0.05396622166271625","statlog-australian-credit","oc1","1","0","0.57389558","0.09583586359342493","{}","72.2","20.6","13.4");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.6876","0.03162664854136749","statlog-german-credit","oc1","1","0","1.52960272","0.3523249429756246","{}","94.6","27.8","19.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.73444444","0.06120324824560424","statlog-heart","oc1","1","0","0.12492442000000001","0.021020763672888496","{}","16.4","5.4","7.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.956709956","0.010495090136727007","statlog-image","oc1","1","0","2.90438884","0.13706753941588393","{}","51.0","16.0","12.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.685908124","0.038501210650949656","statlog-vehicle","oc1","1","0","0.88143516","0.07036632176683875","{}","88.8","27.6","13.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.8705","0.03384849614993016","synthetic-control","oc1","1","0","1.4049732","0.10596716816879787","{}","21.6","7.6","7.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.93214282","0.025980381693147463","tic-tac-toe","oc1","1","0","0.47247344","0.08710591921618374","{}","17.8","5.2","8.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.804838712","0.05376616787774837","vertebral-column-2clases","oc1","1","0","0.06724138","0.006135982485041388","{}","17.8","5.2","7.0");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.9045263179999999","0.055238170669175995","wine","oc1","1","0","0.04064278","0.0053449924773815456","{}","4.0","1.6","3.2");
|
||||
insert into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values("2021-04-11","14:47:28","crossval","0.882285718","0.08147399857032814","zoo","oc1","1","0","0.01932668","0.002122254081232057","{}","6.6","3.0","4.0");
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:02','crossval','0.9918399999999999','0.010791403986507048','balance-scale','stree','1','0','0.01564922332763672','0.001228058544548453','{"C": 10000.0, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','7.0','4.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:02','crossval','0.6066666666666667','0.30688398097290415','balloons','stree','1','0','0.0009676647186279296','0.0002367881119400382','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','3.04','2.02','2.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:02','crossval','0.9481586710138177','0.017762307552983747','breast-cancer-wisc-diag','stree','1','0','0.002857346534729004','0.00019842965791362592','{"C": 0.2, "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:03','crossval','0.7657051282051281','0.06922023305390425','breast-cancer-wisc-prog','stree','1','0','0.002074685096740723','0.0004066224889716958','{"C": 0.2, "max_iter": 10000.0}','2.56','1.78','1.78');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:03','crossval','0.9656628982528263','0.012882720775961002','breast-cancer-wisc','stree','1','0','0.0034239959716796877','0.0004755211146145311','{}','3.92','2.46','2.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:04','crossval','0.7255051421657592','0.04596424345908255','breast-cancer','stree','1','0','0.006020359992980957','0.001990502673664083','{}','9.52','5.26','4.04');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:17','crossval','0.6029189726594865','0.023230292245275567','cardiotocography-10clases','stree','1','0','0.25811831951141356','0.0314210294333643','{}','30.08','15.54','12.12');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:19','crossval','0.8842913007456503','0.01580017229575517','cardiotocography-3clases','stree','1','0','0.032402758598327634','0.0029452135541565977','{}','9.52','5.26','5.12');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:19','crossval','0.771602787456446','0.0587094228135243','conn-bench-sonar-mines-rocks','stree','1','0','0.008197841644287109','0.0014311584492272215','{}','5.44','3.22','2.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:20','crossval','0.6843613173424711','0.0403270755872992','cylinder-bands','stree','1','0','0.019214744567871093','0.0036259513257220024','{}','3.52','2.26','2.24');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:26','crossval','0.9652832284339133','0.01840681935790365','dermatology','stree','1','0','0.10673258781433105','0.011071385618113641','{"C": 55, "max_iter": 10000.0}','11.4','6.2','6.2');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:26','crossval','0.6716239316239316','0.08877112514663672','echocardiogram','stree','1','0','0.0010528135299682616','0.00012329582272334363','{"C": 7, "gamma": 0.1, "kernel": "poly", "max_features": "auto", "max_iter": 10000.0}','1.0','1.0','1.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:26','crossval','0.88','0.0547722557505166','fertility','stree','1','0','0.0009029483795166015','8.985260287819814e-05','{"C": 0.05, "max_features": "auto", "max_iter": 10000.0}','1.0','1.0','1.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:27','crossval','0.7336805922792174','0.049766281568050116','haberman-survival','stree','1','0','0.004347615242004395','0.0008138944455178978','{}','6.48','3.74','3.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:27','crossval','0.7075043834015196','0.06988170032375486','heart-hungarian','stree','1','0','0.002285408973693848','0.00018612982992200836','{"C": 0.05, "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:27','crossval','0.7877419354838711','0.07215718764924595','hepatitis','stree','1','0','0.002471780776977539','0.0005861380007886405','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','2.48','1.74','1.74');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:27','crossval','0.7130518715001475','0.03723387507571413','ilpd-indian-liver','stree','1','0','0.0021682167053222656','0.0009278573484369175','{}','1.88','1.44','1.42');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:28','crossval','0.9302092555331992','0.0315040432760966','ionosphere','stree','1','0','0.007402029037475586','0.0007914535520963372','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','3.2','2.1','2.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:28','crossval','0.9520000000000001','0.029933259094191526','iris','stree','1','0','0.0032801103591918947','0.0001681739375532264','{}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:35','crossval','0.6995999999999999','0.02761955828756136','led-display','stree','1','0','0.1255587148666382','0.005677196093766789','{}','34.76','17.88','13.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:48','crossval','0.2536111111111111','0.03786448383119027','libras','stree','1','0','0.2506489419937134','0.018599137274566482','{"C": 0.08, "max_iter": 10000.0}','19.32','10.16','9.94');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:50','crossval','0.6894515958384763','0.043401193625496784','low-res-spect','stree','1','0','0.03629184246063232','0.0026942266748541423','{"C": 0.05, "max_iter": 10000.0}','9.52','5.26','5.24');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:50','crossval','0.759977011494253','0.09836735406434544','lymphography','stree','1','0','0.002750692367553711','0.0003574147020189625','{"C": 0.05, "max_iter": 10000.0}','3.36','2.18','2.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:51','crossval','0.805308182210708','0.024897168922554405','mammographic','stree','1','0','0.003717927932739258','0.0002334562471656256','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:51','crossval','0.7369264069264068','0.10707633598969517','molec-biol-promoter','stree','1','0','0.0019171428680419922','0.0002558217748088511','{"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:52','crossval','0.565094298245614','0.04088778951436713','musk-1','stree','1','0','0.012906560897827149','0.0003487001831039861','{"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','1.0','1.0','1.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:54','crossval','0.6696681013868963','0.02466397638475715','oocytes_merluccius_nucleus_4d','stree','1','0','0.036813783645629886','0.011420072913938121','{"C": 8.25, "gamma": 0.1, "kernel": "poly"}','2.16','1.58','1.58');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:56','crossval','0.9060664753706361','0.01947618443632987','oocytes_merluccius_states_2f','stree','1','0','0.03827941417694092','0.0022696202549713908','{}','6.04','3.52','3.52');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:57','crossval','0.7188584639404313','0.03644014184644201','oocytes_trisopterus_nucleus_2f','stree','1','0','0.017165846824645996','0.0031658347443004943','{}','3.6','2.3','2.24');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:58','crossval','0.8030703176604815','0.023544698695572304','oocytes_trisopterus_states_5b','stree','1','0','0.011374692916870117','0.0002904977551424975','{"C": 0.11, "max_iter": 10000.0}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:58','crossval','0.8543589743589743','0.04957147066090082','parkinsons','stree','1','0','0.0029172849655151366','0.000254502288407107','{}','3.04','2.02','2.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:58','crossval','0.7688659706306764','0.030512242922947463','pima','stree','1','0','0.004713902473449707','0.00036234890230219815','{}','3.16','2.08','2.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:59','crossval','0.7584848484848484','0.0954131508049414','pittsburg-bridges-MATERIAL','stree','1','0','0.002017765045166016','0.0007032473277629264','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','2.28','1.64','1.64');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:59','crossval','0.6221904761904762','0.09159389814212923','pittsburg-bridges-REL-L','stree','1','0','0.005073995590209961','0.0015471340861317874','{}','6.24','3.62','3.5');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:32:59','crossval','0.5885964912280701','0.13116275959717713','pittsburg-bridges-SPAN','stree','1','0','0.0027930879592895507','0.0005646042707767776','{"C": 0.05, "max_iter": 10000.0}','4.08','2.54','2.54');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:00','crossval','0.8638095238095238','0.07623659318588133','pittsburg-bridges-T-OR-D','stree','1','0','0.0016234731674194336','0.00037310714376946114','{}','2.48','1.74','1.74');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:00','crossval','0.6332582582582582','0.07931272186851575','planning','stree','1','0','0.003254857063293457','0.00034353820348752235','{"C": 7, "gamma": 10.0, "kernel": "rbf", "max_iter": 10000.0}','4.24','2.62','2.62');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:00','crossval','0.711111111111111','0.07535922203472521','post-operative','stree','1','0','0.0011165428161621093','8.337944115351184e-05','{"C": 55, "degree": 5, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','1.0','1.0','1.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:02','crossval','0.9499999999999998','0.03816957033781285','seeds','stree','1','0','0.03826602935791015','0.00878652443250852','{"C": 10000.0, "max_iter": 10000.0}','11.2','6.1','4.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:02','crossval','0.6782608695652174','0.03904983647915211','statlog-australian-credit','stree','1','0','0.0011624908447265625','0.00012125793010232072','{"C": 0.05, "max_features": "auto", "max_iter": 10000.0}','1.0','1.0','1.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:04','crossval','0.7695000000000001','0.027771388153997628','statlog-german-credit','stree','1','0','0.017214603424072265','0.00353252091192701','{}','8.64','4.82','3.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:04','crossval','0.8425925925925926','0.039064857610609224','statlog-heart','stree','1','0','0.003080282211303711','8.908118032360401e-05','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:18','crossval','0.9134632034632034','0.014399975949955872','statlog-image','stree','1','0','0.28190260887145996','0.011044599418803204','{"C": 7, "max_iter": 10000.0}','17.76','9.38','8.44');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:20','crossval','0.7022721893491126','0.033859340958035986','statlog-vehicle','stree','1','0','0.03189016342163086','0.0035088938107595263','{}','13.36','7.18','5.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:27','crossval','0.9469999999999998','0.019983326383095815','synthetic-control','stree','1','0','0.13779988765716553','0.006975647611245406','{"C": 0.55, "max_iter": 10000.0}','11.28','6.14','6.14');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:28','crossval','0.6534505890052357','0.028021260679892277','tic-tac-toe','stree','1','0','0.013150224685668946','0.00026458604250187765','{"C": 0.2, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','1.0','1.0','1.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:28','crossval','0.8074193548387096','0.05185527767837077','vertebral-column-2clases','stree','1','0','0.0025788545608520508','0.00010979391980186945','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:29','crossval','0.9685555555555557','0.030594137669873376','wine','stree','1','0','0.0034023189544677736','0.00033841067192203703','{"C": 0.55, "max_iter": 10000.0}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:33:29','crossval','0.877','0.06800461835723977','zoo','stree','1','0','0.005529937744140625','0.0006721646227264098','{"C": 0.1, "max_iter": 10000.0}','12.12','6.56','6.56');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:34:48','crossval','0.9078400000000001','0.027022479530938694','balance-scale','stree_default','1','0','0.014065136909484863','0.003356256194885882','{}','16.32','8.66','6.68');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:34:48','crossval','0.6416666666666666','0.27600825269465323','balloons','stree_default','1','0','0.0014453935623168945','0.00048784805125499193','{}','4.08','2.54','2.34');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:34:49','crossval','0.9666092221704703','0.016581312614548083','breast-cancer-wisc-diag','stree_default','1','0','0.004474539756774903','0.0005162784948413271','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:34:49','crossval','0.7908461538461538','0.06633460694762172','breast-cancer-wisc-prog','stree_default','1','0','0.004705686569213868','0.0005874887138947772','{}','3.44','2.22','2.22');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:34:49','crossval','0.9656628982528263','0.012882720775961002','breast-cancer-wisc','stree_default','1','0','0.003395237922668457','0.0004947719857876927','{}','3.92','2.46','2.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:34:49','crossval','0.7255051421657592','0.04596424345908255','breast-cancer','stree_default','1','0','0.006016244888305664','0.0019705691370880303','{}','9.52','5.26','4.04');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:02','crossval','0.6029189726594865','0.023230292245275567','cardiotocography-10clases','stree_default','1','0','0.2563737440109253','0.030549892954076986','{}','30.08','15.54','12.12');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:04','crossval','0.8842913007456503','0.01580017229575517','cardiotocography-3clases','stree_default','1','0','0.03261420249938965','0.0030456065966004155','{}','9.52','5.26','5.12');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:05','crossval','0.771602787456446','0.0587094228135243','conn-bench-sonar-mines-rocks','stree_default','1','0','0.008208627700805665','0.0014543365229276186','{}','5.44','3.22','2.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:06','crossval','0.6843613173424711','0.0403270755872992','cylinder-bands','stree_default','1','0','0.019361248016357423','0.0036520455327941543','{}','3.52','2.26','2.24');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:07','crossval','0.9704627915586821','0.016521621206752043','dermatology','stree_default','1','0','0.01973677635192871','0.001430262224385611','{}','11.0','6.0','6.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:07','crossval','0.8490883190883189','0.0650355715837188','echocardiogram','stree_default','1','0','0.002098259925842285','0.0002801813495844156','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:07','crossval','0.88','0.0547722557505166','fertility','stree_default','1','0','0.0010959434509277344','0.00010282517673575151','{}','1.0','1.0','1.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:07','crossval','0.7336805922792174','0.049766281568050116','haberman-survival','stree_default','1','0','0.004379959106445313','0.0007666798954801904','{}','6.48','3.74','3.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:07','crossval','0.8282232612507304','0.04871940627905826','heart-hungarian','stree_default','1','0','0.004726200103759765','0.0005667095613275619','{}','4.36','2.68','2.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:08','crossval','0.7980645161290322','0.07378851575436417','hepatitis','stree_default','1','0','0.0035898303985595703','0.0008488643081805688','{}','4.64','2.82','2.64');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:08','crossval','0.7130518715001475','0.03723387507571413','ilpd-indian-liver','stree_default','1','0','0.0021433162689208983','0.0009167842284522654','{}','1.88','1.44','1.42');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:09','crossval','0.8846197183098593','0.03695714618235266','ionosphere','stree_default','1','0','0.024134411811828613','0.004866466374706728','{}','6.04','3.52','3.52');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:09','crossval','0.9520000000000001','0.029933259094191526','iris','stree_default','1','0','0.0033076858520507814','0.00029582688362781513','{}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:35:16','crossval','0.6995999999999999','0.02761955828756136','led-display','stree_default','1','0','0.12607113838195802','0.005472823185785991','{}','34.76','17.88','13.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:37:56','crossval','0.6980555555555555','0.05851888478553918','libras','stree_default','1','0','3.2097356271743775','0.43909148547322907','{}','74.8','37.9','28.46');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:05','crossval','0.85102274731088','0.036115696547377084','low-res-spect','stree_default','1','0','0.1774393081665039','0.012323526018892136','{}','16.2','8.6','8.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:06','crossval','0.8472643678160919','0.060229288406275214','lymphography','stree_default','1','0','0.004910616874694824','0.0004481332429668406','{}','5.12','3.06','3.06');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:06','crossval','0.805308182210708','0.024897168922554405','mammographic','stree_default','1','0','0.0038238859176635744','0.0005213750640919884','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:06','crossval','0.7764502164502166','0.08351281060668775','molec-biol-promoter','stree_default','1','0','0.0025696802139282228','0.0001947309808086681','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:09','crossval','0.8176666666666668','0.03328145229619156','musk-1','stree_default','1','0','0.0647481346130371','0.009914213318021168','{}','3.68','2.34','2.34');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:12','crossval','0.7273825920612147','0.02528451350172609','oocytes_merluccius_nucleus_4d','stree_default','1','0','0.044887299537658694','0.012174511752956753','{}','5.52','3.26','2.92');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:14','crossval','0.9060664753706361','0.01947618443632987','oocytes_merluccius_states_2f','stree_default','1','0','0.03846145153045654','0.0021951081957765728','{}','6.04','3.52','3.52');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:14','crossval','0.7188584639404313','0.03644014184644201','oocytes_trisopterus_nucleus_2f','stree_default','1','0','0.017146553993225098','0.0032112272582977305','{}','3.6','2.3','2.24');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:17','crossval','0.8663327928901701','0.019963031818889542','oocytes_trisopterus_states_5b','stree_default','1','0','0.04839353084564209','0.004813875208843272','{}','3.08','2.04','2.04');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:17','crossval','0.8543589743589743','0.04957147066090082','parkinsons','stree_default','1','0','0.00293088436126709','0.00023454434469966087','{}','3.04','2.02','2.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:17','crossval','0.7688659706306764','0.030512242922947463','pima','stree_default','1','0','0.004739713668823242','0.00037445991977090354','{}','3.16','2.08','2.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:18','crossval','0.8628571428571427','0.07236919683323605','pittsburg-bridges-MATERIAL','stree_default','1','0','0.0037888479232788086','0.0005896370405092044','{}','4.48','2.74','2.74');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:18','crossval','0.6221904761904762','0.09159389814212923','pittsburg-bridges-REL-L','stree_default','1','0','0.0051055288314819335','0.0016710560826529023','{}','6.24','3.62','3.5');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:18','crossval','0.6707017543859649','0.08917867889965793','pittsburg-bridges-SPAN','stree_default','1','0','0.005823330879211426','0.0013286817122288473','{}','7.44','4.22','4.1');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:18','crossval','0.8638095238095238','0.07623659318588133','pittsburg-bridges-T-OR-D','stree_default','1','0','0.001626429557800293','0.0003492996023521205','{}','2.48','1.74','1.74');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:19','crossval','0.7138138138138139','0.07202043946309418','planning','stree_default','1','0','0.0016888856887817382','0.0004383059592913558','{}','1.16','1.08','1.08');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:19','crossval','0.691111111111111','0.07630348761506396','post-operative','stree_default','1','0','0.0023808193206787107','0.0011270186597491917','{}','2.92','1.96','1.96');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:19','crossval','0.928095238095238','0.041918287860346314','seeds','stree_default','1','0','0.004807629585266113','0.00026429551359908953','{}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:19','crossval','0.6781159420289855','0.038917563767356014','statlog-australian-credit','stree_default','1','0','0.001938614845275879','0.0002762651374347175','{}','1.04','1.02','1.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:20','crossval','0.7695000000000001','0.027771388153997628','statlog-german-credit','stree_default','1','0','0.017238106727600098','0.0034538756976054017','{}','8.64','4.82','3.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:20','crossval','0.8425925925925926','0.039064857610609224','statlog-heart','stree_default','1','0','0.003095235824584961','0.00023447586536594583','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:25','crossval','0.86991341991342','0.016262600654772162','statlog-image','stree_default','1','0','0.09091208934783936','0.003672333020016789','{}','15.72','8.36','7.88');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:27','crossval','0.7022721893491126','0.033859340958035986','statlog-vehicle','stree_default','1','0','0.03200491905212402','0.0035948874525991064','{}','13.36','7.18','5.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:37','crossval','0.9553333333333335','0.018009256878986794','synthetic-control','stree_default','1','0','0.2033984375','0.013455634798339165','{}','11.8','6.4','6.36');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:37','crossval','0.983296247818499','0.008356787795559038','tic-tac-toe','stree_default','1','0','0.00591310977935791','0.0004437194561528769','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:37','crossval','0.8074193548387096','0.05185527767837077','vertebral-column-2clases','stree_default','1','0','0.0025585460662841796','8.885090446324012e-05','{}','3.0','2.0','2.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:38','crossval','0.9741746031746031','0.02684380414757996','wine','stree_default','1','0','0.0036084318161010744','0.00035897396435915694','{}','5.0','3.0','3.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:38:38','crossval','0.9574761904761904','0.046554797887534714','zoo','stree_default','1','0','0.006736030578613281','0.0004044812194375824','{}','13.88','7.44','7.44');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:13:53','crossval','0.9105599999999999','0.030929700936155203','balance-scale','wodt','1','0','0.21324075222015382','0.022901207386101848','{}','83.32','42.16','12.84');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:13:54','crossval','0.6266666666666667','0.23407026485414348','balloons','wodt','1','0','0.006847372055053711','0.002903877826101847','{}','6.28','3.64','3.62');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:14:00','crossval','0.9567706877814003','0.016914230172549206','breast-cancer-wisc-diag','wodt','1','0','0.12148640155792237','0.01934258481327128','{}','25.12','13.06','7.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:14:05','crossval','0.6870769230769231','0.06463654008582861','breast-cancer-wisc-prog','wodt','1','0','0.10070056438446046','0.009297048503327857','{}','41.16','21.08','9.26');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:14:12','crossval','0.9495077081192188','0.01703739203824271','breast-cancer-wisc','wodt','1','0','0.1322394847869873','0.017212358772069145','{}','36.8','18.9','9.74');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:14:27','crossval','0.6554325468844524','0.05487233490223692','breast-cancer','wodt','1','0','0.2974639749526978','0.02829323609286599','{}','421.76','211.38','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:16:26','crossval','0.7500512565589617','0.023847918777948455','cardiotocography-10clases','wodt','1','0','2.374505958557129','0.09044907986312886','{}','999.16','500.08','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:17:32','crossval','0.9022580502623583','0.01682397786753013','cardiotocography-3clases','wodt','1','0','1.2965420722961425','0.10332802112995174','{}','585.88','293.44','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:17:36','crossval','0.7971544715447153','0.05716696020561157','conn-bench-sonar-mines-rocks','wodt','1','0','0.08178516387939454','0.01793983528471189','{}','22.6','11.8','6.98');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:17:54','crossval','0.6945402627070247','0.03413508137216515','cylinder-bands','wodt','1','0','0.36812313079833986','0.023456447314929074','{}','101.16','51.08','13.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:17:59','crossval','0.95870788596816','0.02267092716846112','dermatology','wodt','1','0','0.08558360576629638','0.009163030020141403','{}','18.68','9.84','7.56');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:18:03','crossval','0.7328774928774928','0.0706950306289071','echocardiogram','wodt','1','0','0.07621054649353028','0.010653465843640943','{}','35.08','18.04','10.82');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:18:05','crossval','0.8019999999999999','0.0720832851637604','fertility','wodt','1','0','0.052550797462463376','0.009865634043983385','{}','79.16','40.08','35.56');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:18:26','crossval','0.6616869381279745','0.06504078462800772','haberman-survival','wodt','1','0','0.4164604330062866','0.03465050330440698','{}','476.76','238.88','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:18:36','crossval','0.7482758620689656','0.04934172609981429','heart-hungarian','wodt','1','0','0.20049129486083983','0.023078445752833795','{}','73.4','37.2','12.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:18:39','crossval','0.7877419354838708','0.08657910676004532','hepatitis','wodt','1','0','0.051876163482666014','0.006903293617037604','{}','22.68','11.84','6.88');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:19:16','crossval','0.6715517241379311','0.04266963563291409','ilpd-indian-liver','wodt','1','0','0.7394672966003418','0.04079052300663627','{}','647.04','324.02','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:19:23','crossval','0.8881086519114689','0.03764527302298102','ionosphere','wodt','1','0','0.1414583683013916','0.017158020866605343','{}','32.56','16.78','10.42');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:19:26','crossval','0.944','0.03555277766926235','iris','wodt','1','0','0.04254323959350586','0.0085627389063986','{}','16.6','8.8','7.38');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:20:57','crossval','0.7014999999999999','0.029584624384974015','led-display','wodt','1','0','1.7910533094406127','0.04404600358780579','{}','4097.88','2049.44','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:21:15','crossval','0.7761111111111112','0.05201495511442412','libras','wodt','1','0','0.3663883113861084','0.021033614938297272','{}','131.72','66.36','12.58');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:21:32','crossval','0.8570410862281785','0.03395969665674335','low-res-spect','wodt','1','0','0.3388829708099365','0.025404722162263967','{}','93.12','47.06','10.98');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:21:35','crossval','0.809448275862069','0.08117100751718888','lymphography','wodt','1','0','0.05676698684692383','0.007699755790549307','{}','22.24','11.62','7.34');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:22:33','crossval','0.7806417314335059','0.023703496492134483','mammographic','wodt','1','0','1.132075505256653','0.07506506634511496','{}','2107.8','1054.4','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:22:33','crossval','0.8019913419913419','0.08390146472090296','molec-biol-promoter','wodt','1','0','0.014979376792907714','0.0037749224410426807','{}','6.44','3.72','3.3');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:22:45','crossval','0.8418048245614035','0.03894767594364527','musk-1','wodt','1','0','0.21523403644561767','0.014357181162113004','{}','55.04','28.02','9.7');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:23:39','crossval','0.7143758967001433','0.031167138044523302','oocytes_merluccius_nucleus_4d','wodt','1','0','1.077880754470825','0.048071859340309914','{}','370.0','185.5','19.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:24:02','crossval','0.8991190817790531','0.018392253684405998','oocytes_merluccius_states_2f','wodt','1','0','0.45797646045684814','0.031076144718348856','{}','122.72','61.86','14.18');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:24:49','crossval','0.7302618146880442','0.029528774344107375','oocytes_trisopterus_nucleus_2f','wodt','1','0','0.9343574523925782','0.04572818300741046','{}','296.64','148.82','20.32');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:25:21','crossval','0.8775193658800216','0.024559755091526626','oocytes_trisopterus_states_5b','wodt','1','0','0.6305027294158936','0.042468646638130644','{}','154.44','77.72','16.4');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:25:24','crossval','0.901025641025641','0.04810956157075134','parkinsons','wodt','1','0','0.059291563034057616','0.01055478740684769','{}','22.16','11.58','8.5');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:25:59','crossval','0.698935574229692','0.03230807837032946','pima','wodt','1','0','0.6876588249206543','0.03466577583613701','{}','253.52','127.26','18.34');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:26:02','crossval','0.8175757575757575','0.07645815826535769','pittsburg-bridges-MATERIAL','wodt','1','0','0.06273589611053466','0.012351463710196854','{}','77.2','39.1','32.76');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:26:08','crossval','0.6077142857142858','0.10174727483578092','pittsburg-bridges-REL-L','wodt','1','0','0.1229737377166748','0.013397986454497272','{}','118.08','59.54','36.44');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:26:14','crossval','0.5921637426900584','0.09595142290915461','pittsburg-bridges-SPAN','wodt','1','0','0.11180374145507813','0.012817073494334351','{}','157.24','79.12','47.66');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:26:17','crossval','0.8324761904761904','0.061685987045133894','pittsburg-bridges-T-OR-D','wodt','1','0','0.05939210414886475','0.010921283462823625','{}','79.88','40.44','34.28');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:26:25','crossval','0.5642642642642642','0.0841539017305423','planning','wodt','1','0','0.172938551902771','0.022598157656707425','{}','77.76','39.38','14.24');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:26:33','crossval','0.5544444444444445','0.09328702554912162','post-operative','wodt','1','0','0.14343581199645997','0.021526588871244652','{}','362.16','181.58','50.0');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:26:36','crossval','0.9223809523809523','0.04359419129585074','seeds','wodt','1','0','0.06962965965270997','0.008967647298677685','{}','25.12','13.06','6.88');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:27:17','crossval','0.5624637681159421','0.041775597998254206','statlog-australian-credit','wodt','1','0','0.808171067237854','0.05310326177690986','{}','441.88','221.44','48.14');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:27:48','crossval','0.6877000000000001','0.03127634889177442','statlog-german-credit','wodt','1','0','0.611791033744812','0.03868067279916215','{}','198.88','99.94','16.42');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:27:54','crossval','0.7674074074074076','0.048454863530151965','statlog-heart','wodt','1','0','0.1247534704208374','0.010010913983272234','{}','48.56','24.78','9.7');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:28:54','crossval','0.9462770562770564','0.010028818503552679','statlog-image','wodt','1','0','1.1948295736312866','0.07319053510178329','{}','320.24','160.62','43.02');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:29:31','crossval','0.7055718760877131','0.035849202498875715','statlog-vehicle','wodt','1','0','0.7270735836029053','0.03821371885242998','{}','258.44','129.72','16.06');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:29:40','crossval','0.9500000000000002','0.019860625479688296','synthetic-control','wodt','1','0','0.16990867137908935','0.017103112034262763','{}','26.92','13.96','6.72');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:29:58','crossval','0.9180404668411868','0.026601040576775932','tic-tac-toe','wodt','1','0','0.3678532075881958','0.037207143935023695','{}','87.32','44.16','13.62');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:30:09','crossval','0.8019354838709677','0.05008213856793639','vertebral-column-2clases','wodt','1','0','0.21485376358032227','0.019045788752517546','{}','104.68','52.84','22.92');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:30:11','crossval','0.9719206349206349','0.029239495511339145','wine','wodt','1','0','0.02917142391204834','0.005861948918698455','{}','8.08','4.54','3.88');
|
||||
replace into results (date,time,type,accuracy,accuracy_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth) values('2021-04-11','00:30:12','crossval','0.9393809523809523','0.051272271307097966','zoo','wodt','1','0','0.03375922203063965','0.00414028943244922','{}','16.52','8.76','6.0');
|
||||
Reference in New Issue
Block a user