6001953 1 Jan van Rijn 14967 Supervised Classification 6969 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 4036685 bootstrap true 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.4118610740975649 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 17 6902 min_samples_split 3 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 62876 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [0, 1] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [0, 1] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 openml-pimp openml-python Sklearn_0.18.1. study_71 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 12927017 description https://api.openml.org/data/download/12927017/description.xml -1 12927018 predictions https://api.openml.org/data/download/12927018/predictions.arff area_under_roc_curve 0.9751359383102047 [0.993773,0.966958,0.992892,0.961053,0.967285,0.940193] average_cost 0 f_measure 0.8374743221138551 [0.951175,0.796117,0.976331,0.791092,0.734177,0.547893] kappa 0.7999749377183597 kb_relative_information_score 1957.1972384406854 mean_absolute_error 0.10735620283461117 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.8462285573422517 [0.992453,0.755263,0.982143,0.863426,0.651685,0.576613] predictive_accuracy 0.8358369098712447 prior_entropy 2.5206634795042744 recall 0.8358369098712446 [0.913194,0.841642,0.970588,0.729941,0.84058,0.521898] relative_absolute_error 0.3934191366076719 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.20550182335394063 root_relative_squared_error 0.556356533826512 total_cost 0 area_under_roc_curve 0.97602021900582 [0.997592,0.966284,0.990982,0.96361,0.966731,0.943027] area_under_roc_curve 0.980374696796458 [0.997359,0.977822,0.987167,0.978765,0.970303,0.949476] area_under_roc_curve 0.9783170151144134 [0.996194,0.982186,0.99674,0.964209,0.957138,0.948554] area_under_roc_curve 0.9753811329218925 [0.997903,0.92133,0.997988,0.976197,0.962445,0.956916] area_under_roc_curve 0.9831531791062984 [0.997981,0.992587,0.989526,0.97069,0.984794,0.944884] area_under_roc_curve 0.9682087962952393 [0.985788,0.957434,0.990358,0.952736,0.975814,0.906309] area_under_roc_curve 0.9806701467256489 [0.994389,0.978511,1,0.980822,0.970062,0.921958] area_under_roc_curve 0.9716165317215584 [0.996049,0.956603,0.996445,0.930126,0.968154,0.96017] area_under_roc_curve 0.9661127408896752 [0.983325,0.978031,0.988152,0.938768,0.959011,0.921958] area_under_roc_curve 0.9799881846777564 [0.991228,0.972989,0.994982,0.976264,0.965843,0.956349] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.8216889581496395 [0.964286,0.757576,0.971014,0.741573,0.72549,0.528302] f_measure 0.849392690377537 [0.915888,0.783784,0.985075,0.873786,0.744186,0.571429] f_measure 0.8349963565048152 [0.946429,0.777778,0.977444,0.8,0.708333,0.576923] f_measure 0.8553537553057083 [0.964912,0.739726,0.992593,0.808511,0.764045,0.654545] f_measure 0.8581179646848697 [0.964286,0.831169,0.969697,0.816327,0.804124,0.545455] f_measure 0.8268482361818524 [0.945455,0.815789,0.970588,0.752688,0.755556,0.472727] f_measure 0.8286902254470253 [0.936937,0.816901,0.971429,0.8,0.688172,0.528302] f_measure 0.8319914209519943 [0.963636,0.756757,0.992593,0.705882,0.730769,0.64] f_measure 0.8296757871645161 [0.972973,0.848485,0.948148,0.782609,0.708333,0.482759] f_measure 0.8342578676089161 [0.934579,0.833333,0.985075,0.807692,0.715789,0.478261] kappa 0.7822062506806055 kappa 0.8131276288627792 kappa 0.795604566280966 kappa 0.8216089382002392 kappa 0.8301895594569798 kappa 0.787016051414201 kappa 0.7900150526843955 kappa 0.7949331456720619 kappa 0.7861333166465905 kappa 0.7987423356176199 kb_relative_information_score 189.99188652443172 kb_relative_information_score 197.58233842734913 kb_relative_information_score 199.36711224090752 kb_relative_information_score 205.01031681158358 kb_relative_information_score 199.43318044288364 kb_relative_information_score 193.1975173124204 kb_relative_information_score 192.4812020153666 kb_relative_information_score 197.31138473425656 kb_relative_information_score 191.7577170199607 kb_relative_information_score 191.06458291152597 mean_absolute_error 0.11446570043080076 mean_absolute_error 0.10666403122594416 mean_absolute_error 0.10296849808491633 mean_absolute_error 0.09675979227348115 mean_absolute_error 0.10405137989448354 mean_absolute_error 0.11057470634371147 mean_absolute_error 0.11022860412803573 mean_absolute_error 0.10249311691400628 mean_absolute_error 0.10967293486775698 mean_absolute_error 0.11571427890969299 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272804289453111 mean_prior_absolute_error 0.27287651677373237 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,52,41,27] number_of_instances 280 [58,35,68,51,41,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] precision 0.8374519301033615 [1,0.78125,0.957143,0.868421,0.606557,0.56] precision 0.856929181929182 [1,0.725,1,0.865385,0.711111,0.571429] precision 0.8459623806992228 [0.981481,0.736842,1,0.863636,0.618182,0.625] precision 0.8617173143855037 [0.982143,0.692308,1,0.883721,0.708333,0.666667] precision 0.8719003994418798 [1,0.744186,1,0.869565,0.696429,0.705882] precision 0.8355289589703477 [1,0.756098,0.970588,0.833333,0.693878,0.464286] precision 0.8377350736617023 [0.962963,0.783784,0.944444,0.923077,0.627451,0.538462] precision 0.8542098357689003 [1,0.7,1,0.882353,0.612903,0.695652] precision 0.8427372921756857 [1,0.875,0.955224,0.878049,0.62963,0.451613] precision 0.8416923827116991 [1,0.789474,1,0.792453,0.641509,0.578947] predictive_accuracy 0.8214285714285714 predictive_accuracy 0.8464285714285714 predictive_accuracy 0.8321428571428571 predictive_accuracy 0.8535714285714286 predictive_accuracy 0.8607142857142857 predictive_accuracy 0.825 predictive_accuracy 0.8279569892473119 predictive_accuracy 0.8315412186379929 predictive_accuracy 0.8243727598566308 predictive_accuracy 0.8351254480286738 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 recall 0.8214285714285714 [0.931034,0.735294,0.985294,0.647059,0.902439,0.5] recall 0.8464285714285714 [0.844828,0.852941,0.970588,0.882353,0.780488,0.571429] recall 0.8321428571428572 [0.913793,0.823529,0.955882,0.745098,0.829268,0.535714] recall 0.8535714285714285 [0.948276,0.794118,0.985294,0.745098,0.829268,0.642857] recall 0.8607142857142858 [0.931034,0.941176,0.941176,0.769231,0.95122,0.444444] recall 0.825 [0.896552,0.885714,0.970588,0.686275,0.829268,0.481481] recall 0.8279569892473119 [0.912281,0.852941,1,0.705882,0.761905,0.518519] recall 0.8315412186379928 [0.929825,0.823529,0.985294,0.588235,0.904762,0.592593] recall 0.8243727598566308 [0.947368,0.823529,0.941176,0.705882,0.809524,0.518519] recall 0.8351254480286738 [0.877193,0.882353,0.970588,0.823529,0.809524,0.407407] relative_absolute_error 0.41943426331590383 relative_absolute_error 0.39084677061496464 relative_absolute_error 0.37730530609998036 relative_absolute_error 0.35455487572333844 relative_absolute_error 0.38141401699758704 relative_absolute_error 0.40521884276102577 relative_absolute_error 0.4039531464449291 relative_absolute_error 0.37560502007509733 relative_absolute_error 0.40191679346878506 relative_absolute_error 0.4240564182404253 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36926827610333357 root_mean_prior_squared_error 0.36936606105183667 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_squared_error 0.2134229930023198 root_mean_squared_error 0.20450527116258166 root_mean_squared_error 0.20285326573475845 root_mean_squared_error 0.19360266158191247 root_mean_squared_error 0.19869279341926338 root_mean_squared_error 0.2095321208816662 root_mean_squared_error 0.20711770070236224 root_mean_squared_error 0.20384790491926996 root_mean_squared_error 0.21139739433168617 root_mean_squared_error 0.20927973979069217 root_relative_squared_error 0.5777486182128646 root_relative_squared_error 0.5536078197073381 root_relative_squared_error 0.5491357436682085 root_relative_squared_error 0.5240938131256879 root_relative_squared_error 0.538071657592548 root_relative_squared_error 0.5672749691322089 root_relative_squared_error 0.5607419898530839 root_relative_squared_error 0.5518894785148124 root_relative_squared_error 0.5723286573060858 root_relative_squared_error 0.5665954060334444 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 893.4935619999998 usercpu_time_millis 752.4574089999998 usercpu_time_millis 763.0156679999996 usercpu_time_millis 773.9416600000002 usercpu_time_millis 759.208350999998 usercpu_time_millis 765.7084540000056 usercpu_time_millis 770.4694599999975 usercpu_time_millis 773.9088679999995 usercpu_time_millis 760.0376430000003 usercpu_time_millis 765.1712460000012 usercpu_time_millis_testing 24.749678999999247 usercpu_time_millis_testing 24.56455699999971 usercpu_time_millis_testing 24.424112000000164 usercpu_time_millis_testing 24.52110499999982 usercpu_time_millis_testing 24.72232299999888 usercpu_time_millis_testing 24.891980000003144 usercpu_time_millis_testing 25.227551000000403 usercpu_time_millis_testing 25.227334000000212 usercpu_time_millis_testing 24.971125000000427 usercpu_time_millis_testing 24.50858199999928 usercpu_time_millis_training 868.7438830000006 usercpu_time_millis_training 727.8928520000001 usercpu_time_millis_training 738.5915559999994 usercpu_time_millis_training 749.4205550000004 usercpu_time_millis_training 734.4860279999991 usercpu_time_millis_training 740.8164740000025 usercpu_time_millis_training 745.2419089999971 usercpu_time_millis_training 748.6815339999993 usercpu_time_millis_training 735.066518 usercpu_time_millis_training 740.662664000002