6124583 1 Jan van Rijn 14967 Supervised Classification 7096 sklearn.model_selection._search.RandomizedSearchCV(estimator=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) 4158566 bootstrap true 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.1 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 20 6902 min_samples_split 2 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 10 6902 n_jobs 1 6902 oob_score false 6902 random_state 1 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 true 6948 threshold 0.0 6949 cv null 7096 error_score "raise" 7096 fit_params {} 7096 iid true 7096 n_iter 50 7096 n_jobs 1 7096 param_distributions {"classifier__max_features": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], "classifier__bootstrap": [true, false], "classifier__min_samples_split": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "classifier__criterion": ["gini", "entropy"], "imputation__strategy": ["mean", "median", "most_frequent"]} 7096 pre_dispatch "2*n_jobs" 7096 random_state 1 7096 refit true 7096 return_train_score true 7096 scoring null 7096 verbose 0 7096 openml-python Sklearn_0.18.1. 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 13175542 description https://api.openml.org/data/download/13175542/description.xml -1 13175543 predictions https://api.openml.org/data/download/13175543/predictions.arff -1 13175544 trace https://api.openml.org/data/download/13175544/trace.arff area_under_roc_curve 0.9897658330643502 [0.995275,0.987361,0.997866,0.985064,0.99006,0.969399] average_cost 0 f_measure 0.8974496173927309 [0.955595,0.884393,0.982976,0.861933,0.86088,0.700704] kappa 0.8735133323911258 kb_relative_information_score 2251.508161324434 mean_absolute_error 0.07002034920446877 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.89914617124439 [0.978182,0.871795,0.989568,0.868787,0.847775,0.676871] predictive_accuracy 0.8962804005722461 prior_entropy 2.5206634795042744 recall 0.8962804005722461 [0.934028,0.897361,0.976471,0.855186,0.874396,0.726277] relative_absolute_error 0.2565976124493539 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.16565355875785048 root_relative_squared_error 0.4484750464126568 total_cost 0 area_under_roc_curve 0.9931983105327047 [0.998214,0.98924,0.99667,0.988184,0.998673,0.9803] area_under_roc_curve 0.994852384889026 [0.998058,0.99462,0.995283,0.992294,0.998367,0.986961] area_under_roc_curve 0.9910493824169196 [0.998291,0.992348,0.999514,0.990025,0.97561,0.978387] area_under_roc_curve 0.9917115873019983 [0.998757,0.96999,0.999792,0.99452,0.992397,0.977749] area_under_roc_curve 0.9920768151515874 [0.998524,0.996294,0.997642,0.98524,0.991326,0.97321] area_under_roc_curve 0.9849990876748643 [0.992467,0.979708,0.996254,0.973799,0.993163,0.956229] area_under_roc_curve 0.9882357295369716 [0.995495,0.990396,1,0.979962,0.986337,0.959142] area_under_roc_curve 0.990263229989072 [0.99917,0.989016,0.999373,0.977812,0.991059,0.972369] area_under_roc_curve 0.9839797231034277 [0.982693,0.990276,0.994111,0.981209,0.988849,0.950911] area_under_roc_curve 0.9900599555181524 [0.993362,0.990036,0.998745,0.990497,0.990456,0.959803] 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 0.9293542264288334 [0.973913,0.909091,0.992593,0.886598,0.942529,0.766667] f_measure 0.9115690911003961 [0.915888,0.868421,0.992593,0.901961,0.904762,0.785714] f_measure 0.8980397229010266 [0.982759,0.939394,0.962963,0.854369,0.805195,0.730159] f_measure 0.9271369055685621 [0.966102,0.903226,0.992593,0.92,0.9,0.769231] f_measure 0.8924467474723329 [0.973451,0.846154,0.977778,0.846154,0.864198,0.693878] f_measure 0.9020657228619723 [0.946429,0.939394,0.977444,0.833333,0.906977,0.690909] f_measure 0.8601634733489565 [0.93913,0.816901,0.985507,0.845361,0.75,0.631579] f_measure 0.8863865838092247 [0.972973,0.865672,0.992593,0.795918,0.857143,0.678571] f_measure 0.8917265746970526 [0.972973,0.873239,0.977444,0.88172,0.829787,0.642857] f_measure 0.8732609092463596 [0.907407,0.898551,0.978102,0.857143,0.839506,0.588235] kappa 0.9129380305338765 kappa 0.8913482134541955 kappa 0.873685520502769 kappa 0.9085223560160554 kappa 0.8691996262846466 kappa 0.8779861489378259 kappa 0.8293577981651377 kappa 0.8601657086472349 kappa 0.8648086782543454 kappa 0.8465949257717383 kb_relative_information_score 225.24019952202264 kb_relative_information_score 230.820422626315 kb_relative_information_score 225.95641034923173 kb_relative_information_score 235.96574901589221 kb_relative_information_score 224.0777050542531 kb_relative_information_score 217.3825761784122 kb_relative_information_score 225.41330422555126 kb_relative_information_score 224.14046452843704 kb_relative_information_score 218.27216652531496 kb_relative_information_score 224.239163298998 mean_absolute_error 0.0728455225016235 mean_absolute_error 0.06722960952002123 mean_absolute_error 0.06959263025627849 mean_absolute_error 0.05698286700432379 mean_absolute_error 0.07092940288091425 mean_absolute_error 0.08103833742374027 mean_absolute_error 0.06613242519050087 mean_absolute_error 0.06991004755993391 mean_absolute_error 0.07790999761401107 mean_absolute_error 0.0676380417909744 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 0.9328565980167811 [0.982456,0.9375,1,0.934783,0.891304,0.71875] precision 0.9176672994779308 [1,0.785714,1,0.901961,0.883721,0.785714] precision 0.9027394677254753 [0.982759,0.96875,0.970149,0.846154,0.861111,0.657143] precision 0.9347950849481462 [0.95,1,1,0.938776,0.923077,0.675676] precision 0.897227539251793 [1,0.75,0.985075,0.846154,0.875,0.772727] precision 0.9072994490193739 [0.981481,1,1,0.789474,0.866667,0.678571] precision 0.8623267867347864 [0.931034,0.783784,0.971429,0.891304,0.789474,0.6] precision 0.890022091096571 [1,0.878788,1,0.829787,0.795918,0.655172] precision 0.9015441629457202 [1,0.837838,1,0.97619,0.75,0.62069] precision 0.8764498539794023 [0.960784,0.885714,0.971014,0.786885,0.871795,0.625] predictive_accuracy 0.9285714285714286 predictive_accuracy 0.9107142857142857 predictive_accuracy 0.8964285714285714 predictive_accuracy 0.925 predictive_accuracy 0.8928571428571429 predictive_accuracy 0.9 predictive_accuracy 0.8602150537634408 predictive_accuracy 0.8853046594982079 predictive_accuracy 0.8888888888888888 predictive_accuracy 0.8745519713261649 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 0.9285714285714286 [0.965517,0.882353,0.985294,0.843137,1,0.821429] recall 0.9107142857142857 [0.844828,0.970588,0.985294,0.901961,0.926829,0.785714] recall 0.8964285714285715 [0.982759,0.911765,0.955882,0.862745,0.756098,0.821429] recall 0.925 [0.982759,0.823529,0.985294,0.901961,0.878049,0.892857] recall 0.8928571428571429 [0.948276,0.970588,0.970588,0.846154,0.853659,0.62963] recall 0.9 [0.913793,0.885714,0.955882,0.882353,0.95122,0.703704] recall 0.8602150537634409 [0.947368,0.852941,1,0.803922,0.714286,0.666667] recall 0.8853046594982079 [0.947368,0.852941,0.985294,0.764706,0.928571,0.703704] recall 0.8888888888888888 [0.947368,0.911765,0.955882,0.803922,0.928571,0.666667] recall 0.8745519713261649 [0.859649,0.911765,0.985294,0.941176,0.809524,0.555556] relative_absolute_error 0.26692631898759617 relative_absolute_error 0.2463480469338767 relative_absolute_error 0.25500681421509774 relative_absolute_error 0.20880112342505214 relative_absolute_error 0.2600010543203186 relative_absolute_error 0.2969780557956066 relative_absolute_error 0.24235452720336256 relative_absolute_error 0.256198324412667 relative_absolute_error 0.2855156238678346 relative_absolute_error 0.24787213824372867 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 0.16348290296036452 root_mean_squared_error 0.15506691077454873 root_mean_squared_error 0.16587306243797392 root_mean_squared_error 0.14807841453413076 root_mean_squared_error 0.1672067768102507 root_mean_squared_error 0.175830744146096 root_mean_squared_error 0.16771982751871442 root_mean_squared_error 0.16611749150924462 root_mean_squared_error 0.17728743211528505 root_mean_squared_error 0.16789011420800565 root_relative_squared_error 0.44255785170134776 root_relative_squared_error 0.41977526493389256 root_relative_squared_error 0.44902815424968756 root_relative_squared_error 0.40085699380720385 root_relative_squared_error 0.4528056906883078 root_relative_squared_error 0.4760338392904485 root_relative_squared_error 0.45407779973287093 root_relative_squared_error 0.44973970077118675 root_relative_squared_error 0.4799807410141582 root_relative_squared_error 0.4545388269491583 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 19220.133341999826 usercpu_time_millis 18698.58725800077 usercpu_time_millis 19365.746210999532 usercpu_time_millis 19467.147087999365 usercpu_time_millis 18859.75067900017 usercpu_time_millis 18463.373212999613 usercpu_time_millis 19096.838751000178 usercpu_time_millis 18697.10062500053 usercpu_time_millis 18347.413262000373 usercpu_time_millis 18823.995532999106 usercpu_time_millis_testing 8.982342000308563 usercpu_time_millis_testing 8.883269000762084 usercpu_time_millis_testing 8.862785999554035 usercpu_time_millis_testing 8.929511999667739 usercpu_time_millis_testing 8.815739000056055 usercpu_time_millis_testing 8.984946999589738 usercpu_time_millis_testing 9.950714000297012 usercpu_time_millis_testing 9.33379900016007 usercpu_time_millis_testing 8.573044000513619 usercpu_time_millis_testing 8.96950799960905 usercpu_time_millis_training 19211.150999999518 usercpu_time_millis_training 18689.70398900001 usercpu_time_millis_training 19356.883424999978 usercpu_time_millis_training 19458.217575999697 usercpu_time_millis_training 18850.934940000116 usercpu_time_millis_training 18454.388266000024 usercpu_time_millis_training 19086.88803699988 usercpu_time_millis_training 18687.76682600037 usercpu_time_millis_training 18338.84021799986 usercpu_time_millis_training 18815.026024999497