8778409 4009 Vishal Chouskey 9914 Supervised Classification 7694 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(4) 6753729 categorical_features [] 7256 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7256 handle_unknown "ignore" 7256 n_values "auto" 7256 sparse true 7256 bootstrap false 7257 class_weight null 7257 criterion "entropy" 7257 max_depth null 7257 max_features 0.8427814261221406 7257 max_leaf_nodes null 7257 min_impurity_split 1e-07 7257 min_samples_leaf 7 7257 min_samples_split 6 7257 min_weight_fraction_leaf 0.0 7257 n_estimators 10 7257 n_jobs 1 7257 oob_score false 7257 random_state 49243 7257 verbose 0 7257 warm_start false 7257 threshold 0.0 7345 axis 0 7660 categorical_features [] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "mean" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 openml-pimp openml-python Sklearn_0.18.2. 1570 wilt https://www.openml.org/data/download/1675983/phpnThNfi -1 18473039 description https://api.openml.org/data/download/18473039/description.xml -1 18473040 predictions https://api.openml.org/data/download/18473040/predictions.arff area_under_roc_curve 0.9734462170400164 [0.973446,0.973446] average_cost 0 f_measure 0.9838222509333596 [0.991485,0.849421] kappa 0.8409061020515518 kb_relative_information_score 3089.346953248454 mean_absolute_error 0.02370354554173774 mean_prior_absolute_error 0.10221958465180693 number_of_instances 4839 [4578,261] precision 0.98376935663238 [0.991052,0.856031] predictive_accuracy 0.9838809671419715 prior_entropy 0.3036514154115717 recall 0.9838809671419715 [0.991918,0.842912] relative_absolute_error 0.23188849399535041 root_mean_prior_squared_error 0.22589294647411987 root_mean_squared_error 0.11545317196512057 root_relative_squared_error 0.5110968437358793 total_cost 0 area_under_roc_curve 0.9907205240174672 [0.990721,0.990721] area_under_roc_curve 0.9537705744037622 [0.953771,0.953771] area_under_roc_curve 0.9942895532415184 [0.99429,0.99429] area_under_roc_curve 0.9392845146120254 [0.939285,0.939285] area_under_roc_curve 0.9544843802485725 [0.954484,0.954484] area_under_roc_curve 0.9547363117232113 [0.954736,0.954736] area_under_roc_curve 0.9559539805172993 [0.955954,0.955954] area_under_roc_curve 0.99617903930131 [0.996179,0.996179] area_under_roc_curve 0.9963530269876002 [0.996353,0.996353] area_under_roc_curve 0.9980642989395725 [0.998064,0.998064] 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 0.9789481265417094 [0.989107,0.8] f_measure 0.9770623030614051 [0.988004,0.784314] f_measure 0.9859078688910412 [0.992333,0.872727] f_measure 0.9873688759250256 [0.993464,0.88] f_measure 0.9770623030614051 [0.988004,0.784314] f_measure 0.9815702223710548 [0.990164,0.830189] f_measure 0.9871137261947539 [0.993478,0.875] f_measure 0.9834710743801653 [0.991266,0.846154] f_measure 0.991585627552281 [0.995633,0.923077] f_measure 0.9879939935840557 [0.993407,0.892857] kappa 0.7891251307075632 kappa 0.7723229558672599 kappa 0.8650844217903789 kappa 0.8734750784245386 kappa 0.7723229558672599 kappa 0.8203563180468493 kappa 0.868525896414343 kappa 0.8374202216996981 kappa 0.9187169367705099 kappa 0.8862994350282484 kb_relative_information_score 286.0567962593132 kb_relative_information_score 276.2148690376412 kb_relative_information_score 292.8523661638858 kb_relative_information_score 378.98769725962075 kb_relative_information_score 264.2171596623837 kb_relative_information_score 268.64121022773656 kb_relative_information_score 298.0589301471819 kb_relative_information_score 336.1572830850835 kb_relative_information_score 358.1739590335864 kb_relative_information_score 329.9866823723003 mean_absolute_error 0.026952958657510642 mean_absolute_error 0.026885732495241996 mean_absolute_error 0.02530133204720155 mean_absolute_error 0.016593043090981134 mean_absolute_error 0.027975794292950103 mean_absolute_error 0.02666890386931905 mean_absolute_error 0.026834577841810127 mean_absolute_error 0.021851281179790596 mean_absolute_error 0.01814194758409132 mean_absolute_error 0.01982186435603138 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.1038678744402577 mean_prior_absolute_error 0.10212458028665569 number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [457,27] number_of_instances 483 [457,26] precision 0.9787040364115464 [0.986957,0.833333] precision 0.9768865121806298 [0.986928,0.8] precision 0.9865786251366189 [0.995604,0.827586] precision 0.9872948856150436 [0.991304,0.916667] precision 0.9768865121806298 [0.986928,0.8] precision 0.9817694885329658 [0.991247,0.814815] precision 0.9873170906228758 [0.989177,0.954545] precision 0.9834710743801653 [0.991266,0.846154] precision 0.9915972559822828 [0.993464,0.96] precision 0.9889396203821772 [0.997792,0.833333] predictive_accuracy 0.9793388429752067 predictive_accuracy 0.9772727272727273 predictive_accuracy 0.9855371900826446 predictive_accuracy 0.9876033057851239 predictive_accuracy 0.9772727272727273 predictive_accuracy 0.981404958677686 predictive_accuracy 0.9876033057851239 predictive_accuracy 0.9834710743801652 predictive_accuracy 0.9917355371900827 predictive_accuracy 0.9875776397515529 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 recall 0.9793388429752066 [0.991266,0.769231] recall 0.9772727272727273 [0.989083,0.769231] recall 0.9855371900826446 [0.989083,0.923077] recall 0.987603305785124 [0.995633,0.846154] recall 0.9772727272727273 [0.989083,0.769231] recall 0.981404958677686 [0.989083,0.846154] recall 0.987603305785124 [0.997817,0.807692] recall 0.9834710743801653 [0.991266,0.846154] recall 0.9917355371900827 [0.997812,0.888889] recall 0.9875776397515528 [0.989059,0.961538] relative_absolute_error 0.2641789084489796 relative_absolute_error 0.2635199925060949 relative_absolute_error 0.2479905218372872 relative_absolute_error 0.16263639429435234 relative_absolute_error 0.2742042123544497 relative_absolute_error 0.26139475087883285 relative_absolute_error 0.26301860114949327 relative_absolute_error 0.21417491428831392 relative_absolute_error 0.17466370311184265 relative_absolute_error 0.19409494071253913 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.2295123374792723 root_mean_prior_squared_error 0.22568256224528593 root_mean_squared_error 0.13225605650458475 root_mean_squared_error 0.1270705552133421 root_mean_squared_error 0.11706016879808259 root_mean_squared_error 0.10322380010831322 root_mean_squared_error 0.12489294687811511 root_mean_squared_error 0.1265009244607899 root_mean_squared_error 0.1212319466416843 root_mean_squared_error 0.1069876414152982 root_mean_squared_error 0.09303935493592998 root_mean_squared_error 0.0942748730364153 root_relative_squared_error 0.5865983368735997 root_relative_squared_error 0.5635989634332357 root_relative_squared_error 0.5191996657538153 root_relative_squared_error 0.4578309006756935 root_relative_squared_error 0.553940566974379 root_relative_squared_error 0.5610724670223314 root_relative_squared_error 0.537702848213199 root_relative_squared_error 0.47452475280833295 root_relative_squared_error 0.4053784470054145 root_relative_squared_error 0.41773219914949145 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 433.3477399999879 usercpu_time_millis 429.9355260000084 usercpu_time_millis 432.1213460000308 usercpu_time_millis 419.4869609999614 usercpu_time_millis 441.4544059999912 usercpu_time_millis 488.7216249999824 usercpu_time_millis 495.1275349999946 usercpu_time_millis 498.86787799999865 usercpu_time_millis 499.13265800006457 usercpu_time_millis 477.41781700000274 usercpu_time_millis_testing 2.1880869999790775 usercpu_time_millis_testing 2.1432529999856342 usercpu_time_millis_testing 2.347981000013988 usercpu_time_millis_testing 2.1651949999750286 usercpu_time_millis_testing 2.629882999997335 usercpu_time_millis_testing 2.4626049999483257 usercpu_time_millis_testing 3.406720999976187 usercpu_time_millis_testing 2.980378000017936 usercpu_time_millis_testing 4.538752000030399 usercpu_time_millis_testing 2.1606439999573013 usercpu_time_millis_training 431.1596530000088 usercpu_time_millis_training 427.79227300002276 usercpu_time_millis_training 429.77336500001684 usercpu_time_millis_training 417.3217659999864 usercpu_time_millis_training 438.82452299999386 usercpu_time_millis_training 486.25902000003407 usercpu_time_millis_training 491.72081400001844 usercpu_time_millis_training 495.8874999999807 usercpu_time_millis_training 494.59390600003417 usercpu_time_millis_training 475.25717300004544