6003256 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) 4037988 bootstrap false 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.10819522722070048 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 10 6902 min_samples_split 13 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 13923 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 12929615 description https://api.openml.org/data/download/12929615/description.xml -1 12929616 predictions https://api.openml.org/data/download/12929616/predictions.arff area_under_roc_curve 0.9967164795540236 [0.998887,0.992926,0.997583,0.997129,0.998782,0.99083] average_cost 0 f_measure 0.9630612266119004 [0.988606,0.959398,0.988864,0.944499,0.962529,0.885305] kappa 0.9545967822524231 kb_relative_information_score 2277.967413058725 mean_absolute_error 0.07647447131991318 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.963882523569925 [0.99823,0.984568,0.998501,0.939922,0.934091,0.869718] predictive_accuracy 0.9628040057224606 prior_entropy 2.5206634795042744 recall 0.9628040057224606 [0.979167,0.935484,0.979412,0.949119,0.992754,0.90146] relative_absolute_error 0.280249484285119 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.14696768041635225 root_relative_squared_error 0.39788663636398025 total_cost 0 area_under_roc_curve 0.9968132325362451 [0.998602,0.996413,0.993479,0.999229,0.999898,0.992772] area_under_roc_curve 0.9980547798404807 [0.999689,1,0.993618,0.999743,0.999898,0.997307] area_under_roc_curve 0.9989747048830034 [0.999922,0.997848,0.999861,1,0.99551,0.999433] area_under_roc_curve 0.9949892513558815 [1,0.969512,1,1,0.995612,0.993339] area_under_roc_curve 0.99769696164093 [0.999767,1,0.997017,0.998144,1,0.987703] area_under_roc_curve 0.9929855739265926 [0.993865,0.979125,0.999514,0.995462,0.999796,0.977602] area_under_roc_curve 0.9981210341472981 [0.998024,0.99964,1,0.99871,0.9999,0.987801] area_under_roc_curve 0.9955826401372336 [1,0.99928,0.997073,0.986326,0.999196,0.989712] area_under_roc_curve 0.9963867170538979 [0.998815,0.99892,0.997421,0.99484,0.999598,0.983392] area_under_roc_curve 0.9987556378841336 [0.999842,0.995918,0.998885,0.999484,0.999196,0.997648] 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 0.9575498854962281 [0.991304,0.939394,0.992593,0.96,0.942529,0.842105] f_measure 0.9750350297759581 [0.982456,0.985507,0.992593,0.960784,0.97619,0.928571] f_measure 0.9786504123510185 [0.991304,0.955224,0.992593,0.980392,0.963855,0.965517] f_measure 0.9675499277223415 [0.991453,0.920635,0.992593,0.971429,0.95122,0.931034] f_measure 0.9641543724961762 [0.991304,0.985507,0.977444,0.943396,0.964706,0.884615] f_measure 0.9355044866543608 [0.982456,0.955224,0.985075,0.872727,0.953488,0.77551] f_measure 0.9786041639952372 [0.99115,0.970588,0.992701,0.98,0.988235,0.909091] f_measure 0.9503983616624206 [1,0.9375,0.992593,0.907216,0.94382,0.847458] f_measure 0.9477137072785055 [0.982143,0.953846,0.977444,0.912621,0.976744,0.813559] f_measure 0.9750895101508091 [0.982143,0.985075,0.992593,0.960784,0.965517,0.945455] kappa 0.9477067218651269 kappa 0.9694979613433347 kappa 0.9738533609325635 kappa 0.9607238041801094 kappa 0.9563842547159526 kappa 0.9213679480778831 kappa 0.9737370567932225 kappa 0.9388081213184609 kappa 0.9344742280954469 kappa 0.969379595804393 kb_relative_information_score 227.4716713146298 kb_relative_information_score 231.69910733133673 kb_relative_information_score 234.95768272486632 kb_relative_information_score 232.18085438261178 kb_relative_information_score 228.15787480628347 kb_relative_information_score 221.7130164205435 kb_relative_information_score 226.07936406508168 kb_relative_information_score 226.40828924351175 kb_relative_information_score 225.92842670083553 kb_relative_information_score 223.37112606901897 mean_absolute_error 0.07755743602157451 mean_absolute_error 0.07453663242598688 mean_absolute_error 0.06831118962812972 mean_absolute_error 0.07049902881254583 mean_absolute_error 0.07665854621940064 mean_absolute_error 0.08288779676421057 mean_absolute_error 0.07797149741233407 mean_absolute_error 0.07562900458625774 mean_absolute_error 0.07708583147494862 mean_absolute_error 0.08363784375355506 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 0.9593306275980086 [1,0.96875,1,0.979592,0.891304,0.827586] precision 0.9754342667299478 [1,0.971429,1,0.960784,0.953488,0.928571] precision 0.9791094619666049 [1,0.969697,1,0.980392,0.952381,0.933333] precision 0.9692271993543179 [0.983051,1,1,0.944444,0.95122,0.9] precision 0.9650759465402321 [1,0.971429,1,0.925926,0.931818,0.92] precision 0.9398759385623793 [1,1,1,0.813559,0.911111,0.863636] precision 0.9790139477588513 [1,0.970588,0.985507,1,0.976744,0.892857] precision 0.9548683641192446 [1,1,1,0.956522,0.893617,0.78125] precision 0.9513873223550643 [1,1,1,0.903846,0.954545,0.75] precision 0.9758832565284177 [1,1,1,0.960784,0.933333,0.928571] predictive_accuracy 0.9571428571428571 predictive_accuracy 0.975 predictive_accuracy 0.9785714285714286 predictive_accuracy 0.967857142857143 predictive_accuracy 0.9642857142857143 predictive_accuracy 0.9357142857142857 predictive_accuracy 0.9784946236559139 predictive_accuracy 0.949820788530466 predictive_accuracy 0.946236559139785 predictive_accuracy 0.974910394265233 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 0.9571428571428572 [0.982759,0.911765,0.985294,0.941176,1,0.857143] recall 0.975 [0.965517,1,0.985294,0.960784,1,0.928571] recall 0.9785714285714285 [0.982759,0.941176,0.985294,0.980392,0.97561,1] recall 0.9678571428571429 [1,0.852941,0.985294,1,0.95122,0.964286] recall 0.9642857142857143 [0.982759,1,0.955882,0.961538,1,0.851852] recall 0.9357142857142857 [0.965517,0.914286,0.970588,0.941176,1,0.703704] recall 0.978494623655914 [0.982456,0.970588,1,0.960784,1,0.925926] recall 0.9498207885304659 [1,0.882353,0.985294,0.862745,1,0.925926] recall 0.946236559139785 [0.964912,0.911765,0.955882,0.921569,1,0.888889] recall 0.974910394265233 [0.964912,0.970588,0.985294,0.960784,1,0.962963] relative_absolute_error 0.28419208479002256 relative_absolute_error 0.27312301758501023 relative_absolute_error 0.2503112582203518 relative_absolute_error 0.25832811141843265 relative_absolute_error 0.28100198267804927 relative_absolute_error 0.3037556977940343 relative_absolute_error 0.2857410012754034 relative_absolute_error 0.27715650222360483 relative_absolute_error 0.2824953143238533 relative_absolute_error 0.3065063774814218 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 0.1488671895243423 root_mean_squared_error 0.1395498592197907 root_mean_squared_error 0.13504339313928806 root_mean_squared_error 0.13938195966128822 root_mean_squared_error 0.1456889256973467 root_mean_squared_error 0.15747444356773424 root_mean_squared_error 0.14845367389151745 root_mean_squared_error 0.15097099754631685 root_mean_squared_error 0.15060797907722712 root_mean_squared_error 0.15222908787811135 root_relative_squared_error 0.40299225418503304 root_relative_squared_error 0.3777696920179426 root_relative_squared_error 0.3655704227901643 root_relative_squared_error 0.37731517801943304 root_relative_squared_error 0.3945340965509263 root_relative_squared_error 0.4263370682170887 root_relative_squared_error 0.4019174035663716 root_relative_squared_error 0.40873270264756867 root_relative_squared_error 0.40774988129516615 root_relative_squared_error 0.4121388049443451 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 528.3685590002278 usercpu_time_millis 451.3064970014966 usercpu_time_millis 411.2359620012285 usercpu_time_millis 418.68979900027625 usercpu_time_millis 406.2026989995502 usercpu_time_millis 409.9566690019856 usercpu_time_millis 408.9759580019745 usercpu_time_millis 409.56642600212945 usercpu_time_millis 413.8134400018316 usercpu_time_millis 408.44836300311727 usercpu_time_millis_testing 29.88203700078884 usercpu_time_millis_testing 23.98925200031954 usercpu_time_millis_testing 23.922952001157682 usercpu_time_millis_testing 24.028405001445208 usercpu_time_millis_testing 23.984693998500006 usercpu_time_millis_testing 24.0025790008076 usercpu_time_millis_testing 23.87494600043283 usercpu_time_millis_testing 24.23435500168125 usercpu_time_millis_testing 23.94052400268265 usercpu_time_millis_testing 24.185680002119625 usercpu_time_millis_training 498.486521999439 usercpu_time_millis_training 427.31724500117707 usercpu_time_millis_training 387.3130100000708 usercpu_time_millis_training 394.66139399883104 usercpu_time_millis_training 382.2180050010502 usercpu_time_millis_training 385.954090001178 usercpu_time_millis_training 385.1010120015417 usercpu_time_millis_training 385.3320710004482 usercpu_time_millis_training 389.872915999149 usercpu_time_millis_training 384.26268300099764