Hide Hedge and include SVC complete in benchmark

This commit is contained in:
2022-04-20 10:56:10 +02:00
parent 37da3c506a
commit 637bed4981
11 changed files with 1477 additions and 0 deletions

View File

@@ -0,0 +1,712 @@
{
"score_name": "accuracy",
"model": "SVC",
"stratified": false,
"folds": 5,
"date": "2021-12-17",
"time": "13:19:50",
"duration": 40.44004487991333,
"seeds": [
57,
31,
1714,
17,
23,
79,
83,
97,
7,
1
],
"platform": "Galgo",
"results": [
{
"dataset": "balance-scale",
"samples": 625,
"features": 4,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9024000000000001,
"score_std": 0.02182109071517738,
"time": 0.008233985900878905,
"time_std": 0.0002808312247113249
},
{
"dataset": "balloons",
"samples": 16,
"features": 4,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.5816666666666667,
"score_std": 0.27156439792841447,
"time": 0.0009500551223754883,
"time_std": 7.571466425468348e-05
},
{
"dataset": "breast-cancer-wisc-diag",
"samples": 569,
"features": 30,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9727619934792735,
"score_std": 0.01351375493914129,
"time": 0.005303373336791992,
"time_std": 0.0007692523990561222
},
{
"dataset": "breast-cancer-wisc-prog",
"samples": 198,
"features": 33,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7732948717948719,
"score_std": 0.0703601622554278,
"time": 0.00194793701171875,
"time_std": 8.435824209131583e-05
},
{
"dataset": "breast-cancer-wisc",
"samples": 699,
"features": 9,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9679527235354572,
"score_std": 0.011995201821390402,
"time": 0.0036295175552368162,
"time_std": 0.00019230693762884612
},
{
"dataset": "breast-cancer",
"samples": 286,
"features": 9,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7317543859649124,
"score_std": 0.04356606121838112,
"time": 0.0028108882904052733,
"time_std": 0.00011607863929126699
},
{
"dataset": "cardiotocography-10clases",
"samples": 2126,
"features": 21,
"classes": 10,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8055075393537697,
"score_std": 0.01989888311185985,
"time": 0.10147929668426514,
"time_std": 0.001176605741009573
},
{
"dataset": "cardiotocography-3clases",
"samples": 2126,
"features": 21,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9112899199116268,
"score_std": 0.012401790692530392,
"time": 0.05454308032989502,
"time_std": 0.0013937089703027913
},
{
"dataset": "conn-bench-sonar-mines-rocks",
"samples": 208,
"features": 60,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8320905923344947,
"score_std": 0.06095204566527709,
"time": 0.002447195053100586,
"time_std": 6.14169784204073e-05
},
{
"dataset": "cylinder-bands",
"samples": 512,
"features": 35,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7476127926898914,
"score_std": 0.04110007272505122,
"time": 0.009869241714477539,
"time_std": 0.00036906978880073325
},
{
"dataset": "dermatology",
"samples": 366,
"features": 34,
"classes": 6,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.972373195112921,
"score_std": 0.015862520651510115,
"time": 0.0049711990356445315,
"time_std": 0.00039371670602982045
},
{
"dataset": "echocardiogram",
"samples": 131,
"features": 10,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8252991452991455,
"score_std": 0.07337261558656372,
"time": 0.0012585067749023438,
"time_std": 7.047458266580886e-05
},
{
"dataset": "fertility",
"samples": 100,
"features": 9,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.88,
"score_std": 0.0547722557505166,
"time": 0.0009664630889892578,
"time_std": 5.5728429312671824e-05
},
{
"dataset": "haberman-survival",
"samples": 306,
"features": 3,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7317133791644632,
"score_std": 0.045381650232207534,
"time": 0.00294769287109375,
"time_std": 0.00022534118976083736
},
{
"dataset": "heart-hungarian",
"samples": 294,
"features": 12,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8234482758620689,
"score_std": 0.048867109055436626,
"time": 0.0025710582733154295,
"time_std": 0.00011885674799573812
},
{
"dataset": "hepatitis",
"samples": 155,
"features": 19,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8251612903225807,
"score_std": 0.07040539663356832,
"time": 0.001318345069885254,
"time_std": 4.8299725490724035e-05
},
{
"dataset": "ilpd-indian-liver",
"samples": 583,
"features": 9,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.709787798408488,
"score_std": 0.03451532213431055,
"time": 0.009005041122436523,
"time_std": 0.00029345956356249044
},
{
"dataset": "ionosphere",
"samples": 351,
"features": 33,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9407444668008047,
"score_std": 0.028958671693065225,
"time": 0.00285646915435791,
"time_std": 0.00011992787504408293
},
{
"dataset": "iris",
"samples": 150,
"features": 4,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9593333333333335,
"score_std": 0.03217314269870307,
"time": 0.0010262060165405274,
"time_std": 0.00012517038336096092
},
{
"dataset": "led-display",
"samples": 1000,
"features": 7,
"classes": 10,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7115,
"score_std": 0.02820017730440714,
"time": 0.018458476066589357,
"time_std": 0.0003824291300463383
},
{
"dataset": "libras",
"samples": 360,
"features": 90,
"classes": 15,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7847222222222221,
"score_std": 0.051012132422797105,
"time": 0.01083444595336914,
"time_std": 0.0002318156238021764
},
{
"dataset": "low-res-spect",
"samples": 531,
"features": 100,
"classes": 9,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8864115676247576,
"score_std": 0.03225424866865459,
"time": 0.0112733793258667,
"time_std": 0.000513789786513102
},
{
"dataset": "lymphography",
"samples": 148,
"features": 18,
"classes": 4,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8425057471264367,
"score_std": 0.0683673252461722,
"time": 0.0016926240921020508,
"time_std": 7.278509437728991e-05
},
{
"dataset": "mammographic",
"samples": 961,
"features": 5,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8267465457685665,
"score_std": 0.022926835290767923,
"time": 0.01593653202056885,
"time_std": 0.0007052577622004464
},
{
"dataset": "molec-biol-promoter",
"samples": 106,
"features": 57,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.827142857142857,
"score_std": 0.09431966640910128,
"time": 0.0013345146179199218,
"time_std": 7.036539355929874e-05
},
{
"dataset": "musk-1",
"samples": 476,
"features": 166,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8956008771929826,
"score_std": 0.034347871790735236,
"time": 0.010741839408874512,
"time_std": 0.00037683910317028196
},
{
"dataset": "oocytes_merluccius_nucleus_4d",
"samples": 1022,
"features": 41,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7701568627450981,
"score_std": 0.025199278315577747,
"time": 0.034474549293518064,
"time_std": 0.001307436818785139
},
{
"dataset": "oocytes_merluccius_states_2f",
"samples": 1022,
"features": 25,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9174108082257294,
"score_std": 0.017769436335121284,
"time": 0.014110908508300782,
"time_std": 0.00048160015273161235
},
{
"dataset": "oocytes_trisopterus_nucleus_2f",
"samples": 912,
"features": 25,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7991268840449167,
"score_std": 0.026483084828854114,
"time": 0.025266494750976563,
"time_std": 0.0004012182478486058
},
{
"dataset": "oocytes_trisopterus_states_5b",
"samples": 912,
"features": 32,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9180886326787966,
"score_std": 0.01832250326216702,
"time": 0.015133070945739745,
"time_std": 0.00046984182246112967
},
{
"dataset": "parkinsons",
"samples": 195,
"features": 22,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8743589743589744,
"score_std": 0.04565254824298682,
"time": 0.0016052818298339844,
"time_std": 7.021998218700465e-05
},
{
"dataset": "pima",
"samples": 768,
"features": 8,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7563687293099057,
"score_std": 0.02916590227854834,
"time": 0.012535090446472169,
"time_std": 0.0003744730761087097
},
{
"dataset": "pittsburg-bridges-MATERIAL",
"samples": 106,
"features": 7,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8629004329004327,
"score_std": 0.06975826134555882,
"time": 0.0010268068313598632,
"time_std": 5.053413950250696e-05
},
{
"dataset": "pittsburg-bridges-REL-L",
"samples": 103,
"features": 7,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.6901904761904761,
"score_std": 0.0893877385352908,
"time": 0.0011260128021240235,
"time_std": 2.8232761047926027e-05
},
{
"dataset": "pittsburg-bridges-SPAN",
"samples": 92,
"features": 7,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.6802923976608187,
"score_std": 0.11052571242757434,
"time": 0.0010515642166137695,
"time_std": 2.3979698832460082e-05
},
{
"dataset": "pittsburg-bridges-T-OR-D",
"samples": 102,
"features": 7,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8648095238095237,
"score_std": 0.07364850331687892,
"time": 0.0008726835250854493,
"time_std": 2.1880604497687272e-05
},
{
"dataset": "planning",
"samples": 182,
"features": 12,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7132582582582583,
"score_std": 0.07141520768467598,
"time": 0.0018616628646850586,
"time_std": 7.233580225822409e-05
},
{
"dataset": "post-operative",
"samples": 90,
"features": 8,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7022222222222222,
"score_std": 0.0751623756679456,
"time": 0.001068577766418457,
"time_std": 5.880731218174763e-05
},
{
"dataset": "seeds",
"samples": 210,
"features": 7,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9328571428571428,
"score_std": 0.04059925269913093,
"time": 0.0012748146057128906,
"time_std": 3.093302442285227e-05
},
{
"dataset": "statlog-australian-credit",
"samples": 690,
"features": 14,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.6723188405797101,
"score_std": 0.03749368076701083,
"time": 0.016319785118103027,
"time_std": 0.00037126534097824197
},
{
"dataset": "statlog-german-credit",
"samples": 1000,
"features": 24,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.758,
"score_std": 0.03085449724108304,
"time": 0.028218936920166016,
"time_std": 0.0029223198024939594
},
{
"dataset": "statlog-heart",
"samples": 270,
"features": 13,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8270370370370371,
"score_std": 0.039477034007024514,
"time": 0.003484363555908203,
"time_std": 0.0011965827021578426
},
{
"dataset": "statlog-image",
"samples": 2310,
"features": 18,
"classes": 7,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9403463203463204,
"score_std": 0.010318661066971139,
"time": 0.0535023832321167,
"time_std": 0.005786883086995431
},
{
"dataset": "statlog-vehicle",
"samples": 846,
"features": 18,
"classes": 4,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7602902888966235,
"score_std": 0.025681383872536944,
"time": 0.020143051147460938,
"time_std": 0.00033975363218565906
},
{
"dataset": "synthetic-control",
"samples": 600,
"features": 60,
"classes": 6,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9913333333333334,
"score_std": 0.008326663997864544,
"time": 0.009405264854431153,
"time_std": 0.0003714404090870295
},
{
"dataset": "tic-tac-toe",
"samples": 958,
"features": 9,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9863236256544502,
"score_std": 0.007669725164798296,
"time": 0.01806751251220703,
"time_std": 0.0005082406978524109
},
{
"dataset": "vertebral-column-2clases",
"samples": 310,
"features": 6,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8451612903225807,
"score_std": 0.041057813101154375,
"time": 0.0022931480407714843,
"time_std": 7.77159926129471e-05
},
{
"dataset": "wine",
"samples": 178,
"features": 13,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9807936507936508,
"score_std": 0.02154056565547604,
"time": 0.0013982582092285157,
"time_std": 7.910176637889643e-05
},
{
"dataset": "zoo",
"samples": 101,
"features": 16,
"classes": 7,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9206666666666667,
"score_std": 0.05903694219908146,
"time": 0.0013759946823120118,
"time_std": 6.824460374022953e-05
}
],
"title": "default",
"version": "-"
}

View File

@@ -0,0 +1,712 @@
{
"score_name": "accuracy",
"model": "SVC",
"version": "-",
"stratified": false,
"folds": 5,
"date": "2021-12-17",
"time": "22:02:58",
"duration": 54.40509915351868,
"seeds": [
57,
31,
1714,
17,
23,
79,
83,
97,
7,
1
],
"platform": "Galgo",
"results": [
{
"dataset": "balance-scale",
"samples": 625,
"features": 4,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9024000000000001,
"score_std": 0.02182109071517738,
"time": 0.008437037467956543,
"time_std": 0.00026188571450480174
},
{
"dataset": "balloons",
"samples": 16,
"features": 4,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.5816666666666667,
"score_std": 0.27156439792841447,
"time": 0.0010368633270263672,
"time_std": 6.945610766585602e-06
},
{
"dataset": "breast-cancer-wisc-diag",
"samples": 569,
"features": 30,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9727619934792735,
"score_std": 0.01351375493914129,
"time": 0.006132445335388184,
"time_std": 0.00028644216381623015
},
{
"dataset": "breast-cancer-wisc-prog",
"samples": 198,
"features": 33,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7732948717948719,
"score_std": 0.0703601622554278,
"time": 0.002868633270263672,
"time_std": 0.00011068656771692842
},
{
"dataset": "breast-cancer-wisc",
"samples": 699,
"features": 9,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9679527235354572,
"score_std": 0.011995201821390402,
"time": 0.004915919303894043,
"time_std": 0.000256638122028536
},
{
"dataset": "breast-cancer",
"samples": 286,
"features": 9,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7317543859649124,
"score_std": 0.04356606121838112,
"time": 0.0038012409210205077,
"time_std": 0.00012282645054166168
},
{
"dataset": "cardiotocography-10clases",
"samples": 2126,
"features": 21,
"classes": 10,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8055075393537697,
"score_std": 0.01989888311185985,
"time": 0.14147486209869384,
"time_std": 0.0014879062059084294
},
{
"dataset": "cardiotocography-3clases",
"samples": 2126,
"features": 21,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9112899199116268,
"score_std": 0.012401790692530392,
"time": 0.076524977684021,
"time_std": 0.00187017427624652
},
{
"dataset": "conn-bench-sonar-mines-rocks",
"samples": 208,
"features": 60,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8320905923344947,
"score_std": 0.06095204566527709,
"time": 0.0037216424942016603,
"time_std": 0.00013629550234031042
},
{
"dataset": "cylinder-bands",
"samples": 512,
"features": 35,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7476127926898914,
"score_std": 0.04110007272505122,
"time": 0.013781776428222656,
"time_std": 0.00028059554981174243
},
{
"dataset": "dermatology",
"samples": 366,
"features": 34,
"classes": 6,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.972373195112921,
"score_std": 0.015862520651510115,
"time": 0.006459155082702637,
"time_std": 0.00011659669550336639
},
{
"dataset": "echocardiogram",
"samples": 131,
"features": 10,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8252991452991455,
"score_std": 0.07337261558656372,
"time": 0.0017048311233520508,
"time_std": 3.6926907751089064e-05
},
{
"dataset": "fertility",
"samples": 100,
"features": 9,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.88,
"score_std": 0.0547722557505166,
"time": 0.0013023948669433595,
"time_std": 2.8367593596071312e-05
},
{
"dataset": "haberman-survival",
"samples": 306,
"features": 3,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7317133791644632,
"score_std": 0.045381650232207534,
"time": 0.0036777830123901367,
"time_std": 0.00013593920560877964
},
{
"dataset": "heart-hungarian",
"samples": 294,
"features": 12,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8234482758620689,
"score_std": 0.048867109055436626,
"time": 0.0034745645523071287,
"time_std": 9.400835673332596e-05
},
{
"dataset": "hepatitis",
"samples": 155,
"features": 19,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8251612903225807,
"score_std": 0.07040539663356832,
"time": 0.0019380664825439453,
"time_std": 6.312460206401983e-05
},
{
"dataset": "ilpd-indian-liver",
"samples": 583,
"features": 9,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.709787798408488,
"score_std": 0.03451532213431055,
"time": 0.012015585899353027,
"time_std": 0.0003764465245407514
},
{
"dataset": "ionosphere",
"samples": 351,
"features": 33,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9407444668008047,
"score_std": 0.028958671693065225,
"time": 0.004192733764648437,
"time_std": 0.00013535890161693245
},
{
"dataset": "iris",
"samples": 150,
"features": 4,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9593333333333335,
"score_std": 0.03217314269870307,
"time": 0.00146484375,
"time_std": 2.50588248064796e-05
},
{
"dataset": "led-display",
"samples": 1000,
"features": 7,
"classes": 10,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7115,
"score_std": 0.02820017730440714,
"time": 0.024296936988830568,
"time_std": 0.0003541350693657257
},
{
"dataset": "libras",
"samples": 360,
"features": 90,
"classes": 15,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7847222222222221,
"score_std": 0.051012132422797105,
"time": 0.014870924949645996,
"time_std": 0.0004291474651609183
},
{
"dataset": "low-res-spect",
"samples": 531,
"features": 100,
"classes": 9,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8864115676247576,
"score_std": 0.03225424866865459,
"time": 0.016110858917236327,
"time_std": 0.0005025844835430747
},
{
"dataset": "lymphography",
"samples": 148,
"features": 18,
"classes": 4,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8425057471264367,
"score_std": 0.0683673252461722,
"time": 0.002417182922363281,
"time_std": 5.387447515367712e-05
},
{
"dataset": "mammographic",
"samples": 961,
"features": 5,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8267465457685665,
"score_std": 0.022926835290767923,
"time": 0.020918574333190918,
"time_std": 0.0008064341451885439
},
{
"dataset": "molec-biol-promoter",
"samples": 106,
"features": 57,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.827142857142857,
"score_std": 0.09431966640910128,
"time": 0.0019732809066772463,
"time_std": 2.636349853192546e-05
},
{
"dataset": "musk-1",
"samples": 476,
"features": 166,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8956008771929826,
"score_std": 0.034347871790735236,
"time": 0.015439572334289551,
"time_std": 0.0003452929050070952
},
{
"dataset": "oocytes_merluccius_nucleus_4d",
"samples": 1022,
"features": 41,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7701568627450981,
"score_std": 0.025199278315577747,
"time": 0.04724907398223877,
"time_std": 0.0008925969640247356
},
{
"dataset": "oocytes_merluccius_states_2f",
"samples": 1022,
"features": 25,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9174108082257294,
"score_std": 0.017769436335121284,
"time": 0.01963155746459961,
"time_std": 0.0005515313363646128
},
{
"dataset": "oocytes_trisopterus_nucleus_2f",
"samples": 912,
"features": 25,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7991268840449167,
"score_std": 0.026483084828854114,
"time": 0.03475575923919678,
"time_std": 0.000510335879780616
},
{
"dataset": "oocytes_trisopterus_states_5b",
"samples": 912,
"features": 32,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9180886326787966,
"score_std": 0.01832250326216702,
"time": 0.020713772773742676,
"time_std": 0.0004920267686946402
},
{
"dataset": "parkinsons",
"samples": 195,
"features": 22,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8743589743589744,
"score_std": 0.04565254824298682,
"time": 0.0022519254684448243,
"time_std": 5.9560755974511634e-05
},
{
"dataset": "pima",
"samples": 768,
"features": 8,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7563687293099057,
"score_std": 0.02916590227854834,
"time": 0.01685267925262451,
"time_std": 0.0003971729168293297
},
{
"dataset": "pittsburg-bridges-MATERIAL",
"samples": 106,
"features": 7,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8629004329004327,
"score_std": 0.06975826134555882,
"time": 0.0014627885818481446,
"time_std": 3.376340075142622e-05
},
{
"dataset": "pittsburg-bridges-REL-L",
"samples": 103,
"features": 7,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.6901904761904761,
"score_std": 0.0893877385352908,
"time": 0.001609978675842285,
"time_std": 3.1556347114715945e-05
},
{
"dataset": "pittsburg-bridges-SPAN",
"samples": 92,
"features": 7,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.6802923976608187,
"score_std": 0.11052571242757434,
"time": 0.0015119028091430664,
"time_std": 2.688037642821847e-05
},
{
"dataset": "pittsburg-bridges-T-OR-D",
"samples": 102,
"features": 7,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8648095238095237,
"score_std": 0.07364850331687892,
"time": 0.0012722349166870118,
"time_std": 4.908968511362564e-05
},
{
"dataset": "planning",
"samples": 182,
"features": 12,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7132582582582583,
"score_std": 0.07141520768467598,
"time": 0.002588348388671875,
"time_std": 7.755060352318369e-05
},
{
"dataset": "post-operative",
"samples": 90,
"features": 8,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7022222222222222,
"score_std": 0.0751623756679456,
"time": 0.0015323829650878906,
"time_std": 4.5755973882750084e-05
},
{
"dataset": "seeds",
"samples": 210,
"features": 7,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9328571428571428,
"score_std": 0.04059925269913093,
"time": 0.0018160009384155273,
"time_std": 4.343646299981753e-05
},
{
"dataset": "statlog-australian-credit",
"samples": 690,
"features": 14,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.6723188405797101,
"score_std": 0.03749368076701083,
"time": 0.021406159400939942,
"time_std": 0.0004486276489309118
},
{
"dataset": "statlog-german-credit",
"samples": 1000,
"features": 24,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.758,
"score_std": 0.03085449724108304,
"time": 0.03803274631500244,
"time_std": 0.0006859568567357259
},
{
"dataset": "statlog-heart",
"samples": 270,
"features": 13,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8270370370370371,
"score_std": 0.039477034007024514,
"time": 0.0033139753341674804,
"time_std": 9.804118334462922e-05
},
{
"dataset": "statlog-image",
"samples": 2310,
"features": 18,
"classes": 7,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9403463203463204,
"score_std": 0.010318661066971139,
"time": 0.07119369506835938,
"time_std": 0.0013275935742878445
},
{
"dataset": "statlog-vehicle",
"samples": 846,
"features": 18,
"classes": 4,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.7602902888966235,
"score_std": 0.025681383872536944,
"time": 0.027959990501403808,
"time_std": 0.0003659118460707818
},
{
"dataset": "synthetic-control",
"samples": 600,
"features": 60,
"classes": 6,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9913333333333334,
"score_std": 0.008326663997864544,
"time": 0.013269577026367187,
"time_std": 0.0006468512474176762
},
{
"dataset": "tic-tac-toe",
"samples": 958,
"features": 9,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9863236256544502,
"score_std": 0.007669725164798296,
"time": 0.0241037654876709,
"time_std": 0.0006422814673190882
},
{
"dataset": "vertebral-column-2clases",
"samples": 310,
"features": 6,
"classes": 2,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.8451612903225807,
"score_std": 0.041057813101154375,
"time": 0.003094325065612793,
"time_std": 0.00010465679706037297
},
{
"dataset": "wine",
"samples": 178,
"features": 13,
"classes": 3,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9807936507936508,
"score_std": 0.02154056565547604,
"time": 0.0019156837463378906,
"time_std": 3.209709038641277e-05
},
{
"dataset": "zoo",
"samples": 101,
"features": 16,
"classes": 7,
"hyperparameters": {},
"nodes": 0.0,
"leaves": 0.0,
"depth": 0.0,
"score": 0.9206666666666667,
"score_std": 0.05903694219908146,
"time": 0.0019379472732543946,
"time_std": 4.590185196813872e-05
}
],
"title": "default"
}

View File

@@ -0,0 +1,49 @@
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9785600000000001','0.013711542582802286','balance-scale','SVC','0','1','0.005470409393310547','0.000825082715082823','{"C": 10000.0, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.86','0.28501461950807594','balloons','SVC','0','1','0.0004401397705078125','1.4453345651287412e-05','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9753951249805931','0.014597293231205878','breast-cancer-wisc-diag','SVC','0','1','0.0013635396957397462','0.000121376716258463','{"C": 0.2, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7938589743589745','0.05657320433780183','breast-cancer-wisc-prog','SVC','0','1','0.0011388015747070311','0.0002464821557232919','{"C": 0.2, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9679527235354572','0.011995201821390402','breast-cancer-wisc','SVC','0','1','0.0019516515731811523','0.00036605881375633803','{"kernel": "rbf"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7097640653357531','0.04548673708726185','breast-cancer','SVC','0','1','0.00146120548248291','0.00017906099932247707','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8201355426677713','0.02292971943167577','cardiotocography-10clases','SVC','0','1','0.03224744319915771','0.0018724091025745788','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8995319524993096','0.016220560106895616','cardiotocography-3clases','SVC','0','1','0.02356377124786377','0.008886608732604141','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8320905923344947','0.06095204566527709','conn-bench-sonar-mines-rocks','SVC','0','1','0.0013523244857788087','3.332881654823166e-05','{"kernel": "rbf"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7476127926898914','0.04110007272505122','cylinder-bands','SVC','0','1','0.004786052703857422','0.00030081023486348607','{"kernel": "rbf"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9715623843021103','0.019321915565579672','dermatology','SVC','0','1','0.00128842830657959','9.376522787126973e-05','{"C": 55, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7893447293447293','0.07164471250434974','echocardiogram','SVC','0','1','0.0006335306167602539','2.3371553967332872e-05','{"C": 7, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.88','0.0547722557505166','fertility','SVC','0','1','0.0005298089981079101','2.622689722579611e-05','{"C": 0.05, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7304389212057113','0.04883765345604318','haberman-survival','SVC','0','1','0.0013601541519165038','0.0002161560758925071','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8169959088252484','0.0493578039030494','heart-hungarian','SVC','0','1','0.0009273910522460938','4.1152360658677234e-05','{"C": 0.05, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8245161290322581','0.073887165430815','hepatitis','SVC','0','1','0.0009154987335205078','4.803342469974259e-05','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7133952254641912','0.03827755623741007','ilpd-indian-liver','SVC','0','1','0.003720064163208008','0.0006358986402582392','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9532756539235413','0.02385368651558141','ionosphere','SVC','0','1','0.0025193166732788087','0.00023866137201414208','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.966','0.032991581417756315','iris','SVC','0','1','0.0005801725387573242','0.00012964664006465349','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7204','0.02523568901377571','led-display','SVC','0','1','0.004968976974487305','0.0007454650331974553','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7427777777777779','0.05228129047119374','libras','SVC','0','1','0.004348988533020019','0.00011789238707198441','{"C": 0.08, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9016769529183564','0.03269429070378195','low-res-spect','SVC','0','1','0.0036452913284301756','0.00013564915277084006','{"C": 0.05, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8471494252873564','0.05938135729224899','lymphography','SVC','0','1','0.0006799745559692383','2.5446422430898902e-05','{"C": 0.05, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8267465457685665','0.022926835290767923','mammographic','SVC','0','1','0.008485808372497558','0.0004949674633003508','{"kernel": "rbf"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.827142857142857','0.09431966640910128','molec-biol-promoter','SVC','0','1','0.000785989761352539','2.9941137888993328e-05','{"kernel": "rbf"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9163881578947368','0.027520787090975468','musk-1','SVC','0','1','0.0072632312774658205','0.00033318801173011644','{"C": 0.05, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8403060736489717','0.023610853521046887','oocytes_merluccius_nucleus_4d','SVC','0','1','0.1708998680114746','0.03412802727016322','{"C": 8.25, "gamma": 0.1, "kernel": "poly"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9197675753228122','0.016293604623296522','oocytes_merluccius_states_2f','SVC','0','1','0.006530613899230957','0.0005808026739545692','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7946219900318259','0.02365726340775905','oocytes_trisopterus_nucleus_2f','SVC','0','1','0.01390514850616455','0.001677459827969071','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9222464420825075','0.018202901471558224','oocytes_trisopterus_states_5b','SVC','0','1','0.004840407371520996','0.00020127188568847356','{"C": 0.11, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8569230769230768','0.045317203302800785','parkinsons','SVC','0','1','0.000878610610961914','8.076702862856064e-05','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7695127748068923','0.02622048017958126','pima','SVC','0','1','0.005951528549194336','0.00040212060986905815','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8177056277056276','0.07419071059995634','pittsburg-bridges-MATERIAL','SVC','0','1','0.0005900382995605469','2.7231493373551927e-05','{"C": 7, "gamma": 0.1, "kernel": "rbf", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.6488571428571429','0.09917715888014444','pittsburg-bridges-REL-L','SVC','0','1','0.0006755208969116211','5.537694523752256e-05','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7094736842105265','0.10829259913995691','pittsburg-bridges-SPAN','SVC','0','1','0.0005861043930053711','9.284132433646358e-05','{"C": 0.05, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8645238095238096','0.07509819724217713','pittsburg-bridges-T-OR-D','SVC','0','1','0.0005504989624023438','3.741822819738554e-05','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7352702702702704','0.06697755238925641','planning','SVC','0','1','0.0011424112319946289','4.152049499431638e-05','{"C": 7, "gamma": 10.0, "kernel": "rbf", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.6455555555555554','0.07926358589783025','post-operative','SVC','0','1','0.0006249856948852539','2.5338899114648023e-05','{"C": 55, "degree": 5, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.92','0.0710721265021167','seeds','SVC','0','1','0.0021086788177490236','0.00048241236859517336','{"C": 10000.0, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.6782608695652174','0.03904983647915211','statlog-australian-credit','SVC','0','1','0.0033515310287475586','9.238840976045301e-05','{"C": 0.05, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.7663999999999999','0.027166891614610618','statlog-german-credit','SVC','0','1','0.01946547508239746','0.003434984175861793','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8303703703703706','0.040801301789393805','statlog-heart','SVC','0','1','0.0016689395904541016','0.0006356373031451787','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9554545454545453','0.00732216243366479','statlog-image','SVC','0','1','0.018981671333312987','0.0017818104871941706','{"C": 7, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.797883745214062','0.028612590720497322','statlog-vehicle','SVC','0','1','0.00798799991607666','0.0004560280775823335','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9846666666666667','0.010049875621120901','synthetic-control','SVC','0','1','0.0023563241958618163','0.00036236016197434317','{"C": 0.55, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9844442626527051','0.008387465200358178','tic-tac-toe','SVC','0','1','0.006028361320495605','0.0003939973121056981','{"C": 0.2, "gamma": 0.1, "kernel": "poly", "max_iter": 10000.0}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.8461290322580644','0.03927146112240879','vertebral-column-2clases','SVC','0','1','0.001038036346435547','5.271465214296842e-05','{"kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9645714285714284','0.028746272776460524','wine','SVC','0','1','0.0006193733215332032','2.4868525757074873e-05','{"C": 0.55, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');
replace into results (date,time,type,stratified,score_name,score,score_std,dataset,classifier,norm,stand,time_spent,time_spent_std,parameters,nodes,leaves,depth,platform,nfolds,seeds) values('2021-09-30','12:13:22','crossval','0','accuracy','0.9366666666666668','0.05165294968232069','zoo','SVC','0','1','0.0007095479965209961','9.763987376415993e-05','{"C": 0.1, "max_iter": 10000.0, "kernel": "linear", "decision_function_shape": "ovr"}','0.0','0.0','0.0','iMac27','5','[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]');

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long