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');