6002826 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) 4037558 bootstrap false 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.7976350245147128 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 20 6902 min_samples_split 10 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 27439 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 "median" 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 12928757 description https://api.openml.org/data/download/12928757/description.xml -1 12928758 predictions https://api.openml.org/data/download/12928758/predictions.arff area_under_roc_curve 0.9833981836414117 [0.994058,0.979433,0.996051,0.972419,0.978002,0.963151] average_cost 0 f_measure 0.8566580902993529 [0.92,0.861538,0.958824,0.801961,0.801944,0.648557] kappa 0.8231620017090686 kb_relative_information_score 2203.8144071980305 mean_absolute_error 0.07325532170131162 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.8593064929860671 [0.921603,0.906149,0.958824,0.803536,0.806846,0.606349] predictive_accuracy 0.8551502145922747 prior_entropy 2.5206634795042744 recall 0.8551502145922747 [0.918403,0.821114,0.958824,0.800391,0.797101,0.69708] relative_absolute_error 0.2684525407446305 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.1774421142092712 root_relative_squared_error 0.4803902856194543 total_cost 0 area_under_roc_curve 0.9863204133202464 [0.995728,0.966045,0.997711,0.972857,0.992856,0.978741] area_under_roc_curve 0.9935632362210551 [0.994408,0.996772,0.993133,0.99178,0.997245,0.98682] area_under_roc_curve 0.9822544690491114 [0.995806,0.991153,0.994104,0.973414,0.962853,0.959113] area_under_roc_curve 0.9795437541265143 [0.99534,0.952774,0.999653,0.980649,0.956832,0.961735] area_under_roc_curve 0.9879264243236721 [0.997282,0.990615,0.997503,0.971407,0.991224,0.967135] area_under_roc_curve 0.9735033459529936 [0.99002,0.978892,0.989838,0.955561,0.964384,0.937637] area_under_roc_curve 0.9848097869227073 [0.993283,0.990636,0.998745,0.975576,0.974784,0.957525] area_under_roc_curve 0.9801305981405984 [0.997116,0.964766,0.999233,0.958806,0.971268,0.969577] area_under_roc_curve 0.9789901677697743 [0.993836,0.987395,0.994146,0.962848,0.974884,0.935773] area_under_roc_curve 0.9868667066043106 [0.988699,0.985354,0.9977,0.980091,0.987643,0.969209] 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 0.8817138228215934 [0.946429,0.793103,0.985294,0.8,0.91358,0.705882] f_measure 0.9150739097887313 [0.884956,0.969697,0.955224,0.90566,0.926829,0.813559] f_measure 0.8498181401931402 [0.931034,0.9375,0.926471,0.82,0.717949,0.636364] f_measure 0.8403393663497897 [0.923077,0.75,0.992593,0.8125,0.722892,0.631579] f_measure 0.8724997720533434 [0.940171,0.833333,0.941176,0.785714,0.925,0.690909] f_measure 0.8152608405695545 [0.894737,0.895522,0.961832,0.72549,0.673913,0.555556] f_measure 0.8412241252624671 [0.905983,0.885246,0.937063,0.834951,0.74359,0.571429] f_measure 0.8394764976538606 [0.93913,0.742857,0.977778,0.747253,0.781609,0.666667] f_measure 0.8624467187254532 [0.947368,0.939394,0.942029,0.795918,0.826667,0.567164] f_measure 0.8512539024980493 [0.886957,0.878788,0.970588,0.785047,0.804598,0.638298] kappa 0.8519762415648225 kappa 0.895457373988799 kappa 0.8127876601567359 kappa 0.8040465933655775 kappa 0.8424876943511213 kappa 0.7693037138371135 kappa 0.8065431164901664 kappa 0.8036256139143492 kappa 0.8253001674989433 kappa 0.8199631710656783 kb_relative_information_score 222.2976165253762 kb_relative_information_score 229.50549224534788 kb_relative_information_score 220.1601521967369 kb_relative_information_score 222.58393666428105 kb_relative_information_score 223.57906571528213 kb_relative_information_score 213.7297230249131 kb_relative_information_score 215.53430552552382 kb_relative_information_score 218.519136661777 kb_relative_information_score 219.88861717235577 kb_relative_information_score 218.01636146643875 mean_absolute_error 0.07155291555199168 mean_absolute_error 0.06777084448601345 mean_absolute_error 0.07444834785891878 mean_absolute_error 0.06952991732830097 mean_absolute_error 0.06778035275992453 mean_absolute_error 0.07959259919516208 mean_absolute_error 0.07863527373823842 mean_absolute_error 0.07313031559194326 mean_absolute_error 0.07366583701641445 mean_absolute_error 0.07647855883756156 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 0.8960747354497355 [0.981481,0.958333,0.985294,0.777778,0.925,0.6] precision 0.9173327747521295 [0.909091,1,0.969697,0.872727,0.926829,0.774194] precision 0.8577649308046732 [0.931034,1,0.926471,0.836735,0.756757,0.552632] precision 0.8432416611789137 [0.915254,0.710526,1,0.866667,0.714286,0.62069] precision 0.8789725075166963 [0.932203,0.961538,0.941176,0.733333,0.948718,0.678571] precision 0.8234124899959983 [0.910714,0.9375,1,0.72549,0.607843,0.555556] precision 0.8458768051871501 [0.883333,1,0.893333,0.826923,0.805556,0.551724] precision 0.846080879557822 [0.931034,0.722222,0.985075,0.85,0.755556,0.606061] precision 0.8769858477905834 [0.947368,0.96875,0.928571,0.829787,0.939394,0.475] precision 0.8534045029456597 [0.87931,0.90625,0.970588,0.75,0.777778,0.75] predictive_accuracy 0.8785714285714286 predictive_accuracy 0.9142857142857143 predictive_accuracy 0.8464285714285714 predictive_accuracy 0.8392857142857143 predictive_accuracy 0.8714285714285714 predictive_accuracy 0.8107142857142857 predictive_accuracy 0.8422939068100358 predictive_accuracy 0.8387096774193549 predictive_accuracy 0.8566308243727598 predictive_accuracy 0.8530465949820788 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 0.8785714285714286 [0.913793,0.676471,0.985294,0.823529,0.902439,0.857143] recall 0.9142857142857143 [0.862069,0.941176,0.941176,0.941176,0.926829,0.857143] recall 0.8464285714285714 [0.931034,0.882353,0.926471,0.803922,0.682927,0.75] recall 0.8392857142857143 [0.931034,0.794118,0.985294,0.764706,0.731707,0.642857] recall 0.8714285714285714 [0.948276,0.735294,0.941176,0.846154,0.902439,0.703704] recall 0.8107142857142857 [0.87931,0.857143,0.926471,0.72549,0.756098,0.555556] recall 0.8422939068100358 [0.929825,0.794118,0.985294,0.843137,0.690476,0.592593] recall 0.8387096774193549 [0.947368,0.764706,0.970588,0.666667,0.809524,0.740741] recall 0.8566308243727598 [0.947368,0.911765,0.955882,0.764706,0.738095,0.703704] recall 0.8530465949820788 [0.894737,0.852941,0.970588,0.823529,0.833333,0.555556] relative_absolute_error 0.2621898464754343 relative_absolute_error 0.24833128285858933 relative_absolute_error 0.2727995182991019 relative_absolute_error 0.2547770165495295 relative_absolute_error 0.24845779696427558 relative_absolute_error 0.291679914916093 relative_absolute_error 0.28817353262700496 relative_absolute_error 0.26799959336836576 relative_absolute_error 0.2699621108665692 relative_absolute_error 0.28026985120960146 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 0.17375990678926778 root_mean_squared_error 0.15777707848786118 root_mean_squared_error 0.17977591077094993 root_mean_squared_error 0.176809560419383 root_mean_squared_error 0.17188840306858505 root_mean_squared_error 0.19185471286496858 root_mean_squared_error 0.18261493844082036 root_mean_squared_error 0.18148301629390462 root_mean_squared_error 0.17923953478891277 root_mean_squared_error 0.17731022840422211 root_relative_squared_error 0.47037830664854574 root_relative_squared_error 0.4271118486330743 root_relative_squared_error 0.4866639839257928 root_relative_squared_error 0.4786338987290475 root_relative_squared_error 0.46548380728076666 root_relative_squared_error 0.5194161919441855 root_relative_squared_error 0.49440421369565796 root_relative_squared_error 0.4913396939811773 root_relative_squared_error 0.4852657839336939 root_relative_squared_error 0.4800424587542475 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 2445.468131000041 usercpu_time_millis 2400.124409 usercpu_time_millis 2251.9934889999718 usercpu_time_millis 2230.9250160000147 usercpu_time_millis 2419.6959109999625 usercpu_time_millis 2198.3521820000647 usercpu_time_millis 2492.77016100001 usercpu_time_millis 2308.8982670000178 usercpu_time_millis 2241.0143679999805 usercpu_time_millis 2466.846782999994 usercpu_time_millis_testing 28.17598900003304 usercpu_time_millis_testing 28.450565000014194 usercpu_time_millis_testing 28.021797000008064 usercpu_time_millis_testing 27.685679000001073 usercpu_time_millis_testing 28.400296999961938 usercpu_time_millis_testing 28.36069300002464 usercpu_time_millis_testing 28.21647700000085 usercpu_time_millis_testing 28.029999000011685 usercpu_time_millis_testing 28.21904199998926 usercpu_time_millis_testing 28.32005699997353 usercpu_time_millis_training 2417.292142000008 usercpu_time_millis_training 2371.673843999986 usercpu_time_millis_training 2223.9716919999637 usercpu_time_millis_training 2203.2393370000136 usercpu_time_millis_training 2391.2956140000006 usercpu_time_millis_training 2169.99148900004 usercpu_time_millis_training 2464.553684000009 usercpu_time_millis_training 2280.868268000006 usercpu_time_millis_training 2212.7953259999913 usercpu_time_millis_training 2438.5267260000205