Commit ca4cc860 authored by Ard Kastrati's avatar Ard Kastrati
Browse files

Merge branch 'master' of https://gitlab.ethz.ch/kard/dl-project

parents b71629ce 67275090
...@@ -39,7 +39,7 @@ def cross_validate_SVC(X, y): ...@@ -39,7 +39,7 @@ def cross_validate_SVC(X, y):
def cross_validate_RFC(X, y): def cross_validate_RFC(X, y):
logging.info("Cross-validation RFC...") logging.info("Cross-validation RFC...")
classifier = RandomForestClassifier(max_features='auto', random_state=42, n_jobs=-1) classifier = RandomForestClassifier(max_features='auto', random_state=42, n_jobs=-1)
parameters_RFC = {'n_estimators': [10, 100, 1000, 5000], 'max_depth': [5, 10, 50, 100, 500]} parameters_RFC = {'n_estimators': [10, 50, 100, 1000], 'max_depth': [5, 10, 50, 100, 500], 'min_samples_split' : [0.1, 0.4, 0.7, 1.0], 'min_samples_leaf' : [0.1, 0.5]}
cross_validate(classifier=classifier, parameters=parameters_RFC, X=X, y=y) cross_validate(classifier=classifier, parameters=parameters_RFC, X=X, y=y)
def cross_validate(classifier, parameters, X, y): def cross_validate(classifier, parameters, X, y):
......
...@@ -51,7 +51,7 @@ def main(): ...@@ -51,7 +51,7 @@ def main():
try_sklearn_classifiers(trainX, trainY) try_sklearn_classifiers(trainX, trainY)
# cross_validate_kNN(trainX, trainY) # cross_validate_kNN(trainX, trainY)
# cross_validate_SVC(trainX, trainY) # cross_validate_SVC(trainX, trainY)
# cross_validate_RFC(trainX, trainY) cross_validate_RFC(trainX, trainY)
else: else:
# tune(trainX,trainY) # tune(trainX,trainY)
run(trainX,trainY) run(trainX,trainY)
......
mean_fit_time,std_fit_time,mean_score_time,std_score_time,mean_test_score,std_test_score,params
54.97240698337555,24.13480293750763,12.192771315574646,5.815440535545349,0.6500014959160365,0.004186566587414509,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 0.1, 'n_estimators': 10}"
47.891690373420715,0.3733121156692505,5.038571357727051,0.22652125358581543,0.6565717591318982,0.0011689652497272052,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 0.1, 'n_estimators': 50}"
122.98335754871368,13.516207337379456,24.53887927532196,14.744704127311707,0.6587803433474532,0.0003770747962164034,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 0.1, 'n_estimators': 100}"
883.4977535009384,80.00896108150482,9.427534699440002,0.3770390748977661,0.6598846369794981,0.0012053083575899182,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 0.1, 'n_estimators': 1000}"
80.67850637435913,62.902300119400024,23.540027141571045,14.30137014389038,0.6146371277787761,0.0006795306056311956,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 0.4, 'n_estimators': 10}"
35.668625593185425,2.3365533351898193,9.74537479877472,1.4431568384170532,0.6298484888559224,0.0018118280785372476,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 0.4, 'n_estimators': 50}"
47.85694766044617,5.7977471351623535,7.193005442619324,0.985559344291687,0.6353974563244952,0.0020604421902196135,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 0.4, 'n_estimators': 100}"
409.52198326587677,36.71951115131378,22.855531454086304,17.405255794525146,0.6389034725713811,0.0004869531367521218,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 0.4, 'n_estimators': 1000}"
64.51970708370209,47.177589535713196,7.125189661979675,0.6362177133560181,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 0.7, 'n_estimators': 10}"
13.957017064094543,0.008815407752990723,14.087352514266968,9.406677484512329,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 0.7, 'n_estimators': 50}"
21.921236991882324,8.11500072479248,7.836744666099548,2.1957043409347534,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 0.7, 'n_estimators': 100}"
101.77660036087036,20.350155115127563,4.453204393386841,0.47705841064453125,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 0.7, 'n_estimators': 1000}"
78.72701859474182,65.18147373199463,4.573550343513489,0.38188254833221436,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 1.0, 'n_estimators': 10}"
40.37902748584747,26.472166419029236,4.261538028717041,0.6636087894439697,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 1.0, 'n_estimators': 50}"
15.110999941825867,0.36123931407928467,4.774143099784851,0.14948618412017822,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 1.0, 'n_estimators': 100}"
17.420228242874146,0.9372973442077637,4.983576416969299,1.3731342554092407,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 1.0, 'n_estimators': 1000}"
38.21595048904419,22.791205883026123,9.711175560951233,6.308325886726379,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 0.1, 'n_estimators': 10}"
15.701153993606567,0.9714663028717041,5.091930150985718,1.6353423595428467,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 0.1, 'n_estimators': 50}"
15.314638137817383,0.6477653980255127,3.9409083127975464,0.4221428632736206,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 0.1, 'n_estimators': 100}"
32.54212427139282,11.338299989700317,11.541803002357483,1.8537884950637817,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 0.1, 'n_estimators': 1000}"
17.605659127235413,1.350063681602478,6.181661367416382,2.8285138607025146,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 0.4, 'n_estimators': 10}"
21.680745601654053,6.442229270935059,7.859939098358154,3.049349308013916,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 0.4, 'n_estimators': 50}"
26.267417311668396,0.40162885189056396,8.746864676475525,2.4242717027664185,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 0.4, 'n_estimators': 100}"
48.87712812423706,2.2192628383636475,6.489481210708618,1.439082384109497,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 0.4, 'n_estimators': 1000}"
21.364949941635132,0.2596015930175781,7.845422983169556,2.451538324356079,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 0.7, 'n_estimators': 10}"
19.381184935569763,0.06503021717071533,5.366990566253662,1.066856861114502,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 0.7, 'n_estimators': 50}"
19.459784388542175,0.0022324323654174805,5.16763699054718,0.2466048002243042,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 0.7, 'n_estimators': 100}"
22.939279913902283,0.04267847537994385,5.011474847793579,0.1404409408569336,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 0.7, 'n_estimators': 1000}"
19.113086462020874,0.2559471130371094,5.016491055488586,0.8365699052810669,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 1.0, 'n_estimators': 10}"
18.796372175216675,0.2118680477142334,6.712647914886475,0.05610799789428711,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 1.0, 'n_estimators': 50}"
20.175700783729553,0.10118520259857178,5.381349802017212,1.0372848510742188,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 1.0, 'n_estimators': 100}"
21.113507628440857,0.10393393039703369,6.031010627746582,1.2532198429107666,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 5, 'min_samples_leaf': 0.5, 'min_samples_split': 1.0, 'n_estimators': 1000}"
29.043579697608948,5.854399800300598,9.23889148235321,4.434579491615295,0.6500014959160365,0.004186566587414509,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 0.1, 'n_estimators': 10}"
61.3303906917572,5.335242748260498,8.473289370536804,2.2604464292526245,0.6565717591318982,0.0011689652497272052,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 0.1, 'n_estimators': 50}"
107.54135739803314,12.971564650535583,10.728497743606567,0.0887906551361084,0.6587803433474532,0.0003770747962164034,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 0.1, 'n_estimators': 100}"
862.3826242685318,155.0627430677414,11.58724820613861,3.4503716230392456,0.6598846369794981,0.0012053083575899182,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 0.1, 'n_estimators': 1000}"
42.46040499210358,1.1228338479995728,11.539597392082214,0.46461188793182373,0.6146371277787761,0.0006795306056311956,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 0.4, 'n_estimators': 10}"
53.96657121181488,2.5509873628616333,12.215874552726746,1.5765348672866821,0.6298484888559224,0.0018118280785372476,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 0.4, 'n_estimators': 50}"
82.71171689033508,3.543782949447632,15.878087282180786,0.29024410247802734,0.6353974563244952,0.0020604421902196135,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 0.4, 'n_estimators': 100}"
518.356683254242,124.58946585655212,19.190460562705994,7.132959723472595,0.6389034725713811,0.0004869531367521218,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 0.4, 'n_estimators': 1000}"
31.28084635734558,11.312880277633667,9.359089732170105,1.0491210222244263,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 0.7, 'n_estimators': 10}"
42.68432819843292,2.6598016023635864,11.747171521186829,2.756900906562805,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 0.7, 'n_estimators': 50}"
42.108301639556885,0.11420106887817383,8.063677310943604,0.3772296905517578,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 0.7, 'n_estimators': 100}"
42.573700308799744,2.8296924829483032,12.405702948570251,1.0885807275772095,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 0.7, 'n_estimators': 1000}"
50.60024607181549,4.993357300758362,10.509897828102112,1.994052529335022,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 1.0, 'n_estimators': 10}"
47.86596083641052,8.591832876205444,7.913249611854553,2.495725989341736,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 1.0, 'n_estimators': 50}"
41.13771402835846,2.8296667337417603,9.247948050498962,0.5355063676834106,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 1.0, 'n_estimators': 100}"
38.270758271217346,4.546758055686951,9.563151359558105,0.5016567707061768,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.1, 'min_samples_split': 1.0, 'n_estimators': 1000}"
37.14048945903778,2.006728768348694,9.116601943969727,0.45490527153015137,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 0.1, 'n_estimators': 10}"
31.698370814323425,1.0665940046310425,3.6338077783584595,0.1486879587173462,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 0.1, 'n_estimators': 50}"
38.107917070388794,16.973389387130737,9.82156765460968,6.089187979698181,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 0.1, 'n_estimators': 100}"
42.39546525478363,21.19971239566803,12.301116585731506,4.247395634651184,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 0.1, 'n_estimators': 1000}"
32.55437636375427,16.566591501235962,8.956209301948547,3.4638949632644653,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 0.4, 'n_estimators': 10}"
17.0037978887558,0.20527589321136475,6.9085776805877686,0.02494215965270996,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 0.4, 'n_estimators': 50}"
30.74408209323883,3.478180766105652,6.358717441558838,2.8134562969207764,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 0.4, 'n_estimators': 100}"
34.317062854766846,2.0334625244140625,7.4758710861206055,2.8114519119262695,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 0.4, 'n_estimators': 1000}"
23.34078061580658,5.0391329526901245,4.635986328125,0.059774160385131836,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 0.7, 'n_estimators': 10}"
18.38675832748413,0.2856879234313965,5.321049928665161,0.8647141456604004,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 0.7, 'n_estimators': 50}"
17.761216402053833,0.18039965629577637,4.453701376914978,0.0904930830001831,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 0.7, 'n_estimators': 100}"
20.726754665374756,0.7590634822845459,5.050774455070496,0.6307088136672974,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 0.7, 'n_estimators': 1000}"
17.225624084472656,0.43273282051086426,4.876329064369202,0.8978017568588257,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 1.0, 'n_estimators': 10}"
17.489378452301025,0.23973870277404785,3.913859009742737,0.05754101276397705,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 1.0, 'n_estimators': 50}"
18.339762806892395,0.062371134757995605,3.9112449884414673,0.12754285335540771,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 1.0, 'n_estimators': 100}"
21.112496614456177,0.4672667980194092,4.89534068107605,0.10521912574768066,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 10, 'min_samples_leaf': 0.5, 'min_samples_split': 1.0, 'n_estimators': 1000}"
30.552730083465576,0.5369589328765869,18.572548151016235,4.141263008117676,0.6500014959160365,0.004186566587414509,"{'max_depth': 50, 'min_samples_leaf': 0.1, 'min_samples_split': 0.1, 'n_estimators': 10}"
42.24167013168335,2.2524757385253906,12.658704400062561,4.420198082923889,0.6565717591318982,0.0011689652497272052,"{'max_depth': 50, 'min_samples_leaf': 0.1, 'min_samples_split': 0.1, 'n_estimators': 50}"
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115.3621678352356,33.57530474662781,10.532848954200745,1.6153424978256226,0.6353974563244952,0.0020604421902196135,"{'max_depth': 50, 'min_samples_leaf': 0.1, 'min_samples_split': 0.4, 'n_estimators': 100}"
543.0329648256302,43.54389154911041,11.586301922798157,0.022891640663146973,0.6389034725713811,0.0004869531367521218,"{'max_depth': 50, 'min_samples_leaf': 0.1, 'min_samples_split': 0.4, 'n_estimators': 1000}"
84.35315501689911,14.17683756351471,11.53932523727417,7.046536684036255,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 50, 'min_samples_leaf': 0.1, 'min_samples_split': 0.7, 'n_estimators': 10}"
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17.45400846004486,0.09665381908416748,4.216432213783264,0.030864357948303223,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 500, 'min_samples_leaf': 0.5, 'min_samples_split': 0.7, 'n_estimators': 10}"
17.23139774799347,0.4188793897628784,4.150138020515442,0.08017909526824951,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 500, 'min_samples_leaf': 0.5, 'min_samples_split': 0.7, 'n_estimators': 50}"
18.135766863822937,0.1738947629928589,4.036443114280701,0.1694260835647583,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 500, 'min_samples_leaf': 0.5, 'min_samples_split': 0.7, 'n_estimators': 100}"
21.967405438423157,0.07662022113800049,6.043361306190491,1.364613652229309,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 500, 'min_samples_leaf': 0.5, 'min_samples_split': 0.7, 'n_estimators': 1000}"
17.738407969474792,0.27931487560272217,4.150700092315674,0.06198549270629883,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 500, 'min_samples_leaf': 0.5, 'min_samples_split': 1.0, 'n_estimators': 10}"
17.846079349517822,0.2303450107574463,4.350938081741333,0.06318497657775879,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 500, 'min_samples_leaf': 0.5, 'min_samples_split': 1.0, 'n_estimators': 50}"
18.38229274749756,0.4923088550567627,5.322735667228699,1.2695757150650024,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 500, 'min_samples_leaf': 0.5, 'min_samples_split': 1.0, 'n_estimators': 100}"
19.55625057220459,0.6858994960784912,3.9001559019088745,0.1318424940109253,0.5187864068222405,1.4322016586743036e-05,"{'max_depth': 500, 'min_samples_leaf': 0.5, 'min_samples_split': 1.0, 'n_estimators': 1000}"
BEST ESTIMATOR,BEST SCORE,BEST PARAMS
"RandomForestClassifier(max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1,
n_estimators=1000, n_jobs=-1, random_state=42)",0.6598846369794981,"{'max_depth': 5, 'min_samples_leaf': 0.1, 'min_samples_split': 0.1, 'n_estimators': 1000}"
(36223, 500, 129)
(36223, 1)
Fitting 2 folds for each of 160 candidates, totalling 320 fits
INFO:root:Started the Logging
INFO:root:X training loaded.
INFO:root:(129, 500, 36223)
INFO:root:y training loaded.
INFO:root:(1, 36223)
INFO:root:Setting the shapes
INFO:root:(36223, 500, 129)
INFO:root:(36223, 1)
INFO:root:Cross-validation RFC...
INFO:root:--- Runtime: 6324.672133684158 seconds ---
INFO:root:Finished Logging
Sender: LSF System <lsfadmin@eu-g1-047-3>
Subject: Job 166818966: <python /cluster/home/mplomecka/dl-project/main.py> in cluster <euler> Done
Job <python /cluster/home/mplomecka/dl-project/main.py> was submitted from host <eu-login-16> by user <mplomecka> in cluster <euler> at Tue Mar 23 22:48:07 2021
Job was executed on host(s) <5*eu-g1-047-3>, in queue <bigmem.24h>, as user <mplomecka> in cluster <euler> at Tue Mar 23 22:48:25 2021
</cluster/home/mplomecka> was used as the home directory.
</cluster/home/mplomecka/dl-project> was used as the working directory.
Started at Tue Mar 23 22:48:25 2021
Terminated at Wed Mar 24 00:34:06 2021
Results reported at Wed Mar 24 00:34:06 2021
Your job looked like:
------------------------------------------------------------
# LSBATCH: User input
python /cluster/home/mplomecka/dl-project/main.py
------------------------------------------------------------
Successfully completed.
Resource usage summary:
CPU time : 30735.00 sec.
Max Memory : 178567 MB
Average Memory : 146656.00 MB
Total Requested Memory : 125000.00 MB
Delta Memory : -53567.00 MB
Max Swap : -
Max Processes : 10
Max Threads : 52
Run time : 6347 sec.
Turnaround time : 6359 sec.
The output (if any) follows:
2021-03-23 22:48:27.263584: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
(36223, 500, 129)
(36223, 1)
Fitting 2 folds for each of 160 candidates, totalling 320 fits
[Parallel(n_jobs=-1)]: Using backend LokyBackend with 5 concurrent workers.
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.654, total= 48.8s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.659, total= 2.5min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.633, total= 48.3s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.638, total= 6.3min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 2.1min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total= 17.7s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total= 1.2min
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total= 1.3min
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total= 39.0s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total= 51.7s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 27.8s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total= 25.8s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.646, total= 28.0s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.659, total= 2.2min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.632, total= 1.1min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.638, total= 6.8min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 58.9s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total= 54.1s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total= 44.7s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total= 48.1s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total= 47.8s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total= 36.3s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total= 37.7s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total= 24.1s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total= 36.4s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total= 33.0s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total= 22.3s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10, score=0.519, total= 20.8s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total= 22.2s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.658, total= 1.0min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.614, total= 23.9s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.615, total= 47.0s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.628, total= 2.2min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.638, total= 8.5min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 37.7s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total= 1.0min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total= 44.0s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total= 29.8s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total= 22.5s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total= 26.4s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total= 21.9s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50, score=0.519, total= 22.9s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 26.7s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total= 23.0s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.646, total= 33.3s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.659, total= 3.1min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.632, total= 1.3min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.637, total= 1.3min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total= 1.1min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total= 33.2s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total= 2.1min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total= 33.7s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total= 33.2s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total= 25.8s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 37.2s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 1.8min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total= 39.6s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total= 36.1s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total= 28.9s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total= 21.6s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total= 25.7s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total= 22.4s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total= 22.0s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total= 22.9s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total= 24.1s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total= 24.4s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.658, total= 2.2min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.628, total= 49.5s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.632, total= 43.3s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.638, total= 8.4min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total= 1.6min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total= 40.4s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total= 36.8s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total= 28.1s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total= 19.7s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total= 25.6s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total= 21.8s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total= 21.5s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 26.6s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total= 22.5s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.646, total= 1.4min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.614, total= 27.0s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.615, total= 3.0min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.639, total= 8.1min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total= 17.5s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total= 19.7s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total= 20.1s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total= 18.8s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total= 19.5s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total= 57.3s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total= 59.0s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50, score=0.519, total= 23.7s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 28.1s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total= 26.5s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.655, total= 1.0min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000, score=0.661, total=12.0min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total= 52.7s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total= 51.9s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total= 34.4s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total= 37.0s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10, score=0.519, total= 21.5s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total= 23.7s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total= 37.8s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total= 23.0s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 27.2s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total= 21.6s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.646, total= 53.8s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000, score=0.659, total=15.6min
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total= 24.3s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total= 25.4s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total= 25.8s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total= 23.1s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10, score=0.519, total= 23.3s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total= 27.9s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.655, total= 2.5min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.615, total= 48.5s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.628, total= 1.7min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.638, total=11.0min
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total= 23.8s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total= 25.2s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total= 21.6s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total= 25.0s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total= 23.2s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10, score=0.519, total= 23.6s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total= 25.5s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.655, total= 1.9min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.614, total= 1.0min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.637, total= 41.2s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.639, total= 8.3min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total= 1.7min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total= 1.2min
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total= 23.5s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total= 20.1s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total= 25.5s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total= 21.8s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total= 21.8s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 29.5s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total= 25.5s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.658, total= 53.5s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000, score=0.661, total=16.2min
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total= 24.9s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total= 25.2s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total= 28.3s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.658, total= 1.8min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.615, total= 54.7s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.633, total= 1.6min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.639, total=11.2min
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total= 1.2min
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total= 42.6s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50, score=0.519, total= 24.9s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 24.4s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total= 22.3s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.654, total= 44.4s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.659, total= 2.2min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.633, total= 2.6min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total= 1.5min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total= 1.7min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total= 60.0s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total= 2.1min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total= 17.2s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total= 21.1s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 32.0s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total= 1.1min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total= 42.1s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total= 41.2s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total= 26.6s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total= 25.5s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50