8784061 4009 Vishal Chouskey 3946 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) 6759378 categorical_features [190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228] 7256 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7256 handle_unknown "ignore" 7256 n_values "auto" 7256 sparse true 7256 bootstrap true 7257 class_weight null 7257 criterion "entropy" 7257 max_depth null 7257 max_features 0.30269254994809974 7257 max_leaf_nodes null 7257 min_impurity_split 1e-07 7257 min_samples_leaf 3 7257 min_samples_split 20 7257 min_weight_fraction_leaf 0.0 7257 n_estimators 10 7257 n_jobs 1 7257 oob_score false 7257 random_state 51268 7257 verbose 0 7257 warm_start false 7257 threshold 0.0 7345 axis 0 7660 categorical_features [190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "median" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 openml-pimp openml-python Sklearn_0.18.2. 1112 KDDCup09_churn https://www.openml.org/data/download/53995/KDDCup09_churn.arff -1 18484289 description https://api.openml.org/data/download/18484289/description.xml -1 18484290 predictions https://api.openml.org/data/download/18484290/predictions.arff area_under_roc_curve 0.6639345875944154 [0.663935,0.663935] average_cost 0 f_measure 0.8919955801439755 [0.961678,0.012845] kappa 0.010316106484299288 kb_relative_information_score -27052.98049080388 mean_absolute_error 0.1285942606243719 mean_prior_absolute_error 0.13610768849252358 number_of_instances 50000 [46328,3672] precision 0.8859864933336415 [0.926945,0.369231] predictive_accuracy 0.92622 prior_entropy 0.37869426717933 recall 0.92622 [0.999115,0.006536] relative_absolute_error 0.9447979173596472 root_mean_prior_squared_error 0.2608573684813835 root_mean_squared_error 0.25900021951987123 root_relative_squared_error 0.9928805961191592 total_cost 0 area_under_roc_curve 0.6689948116129759 [0.668995,0.668995] area_under_roc_curve 0.6576922941540888 [0.657692,0.657692] area_under_roc_curve 0.66180804570458 [0.661808,0.661808] area_under_roc_curve 0.6494138425264555 [0.649414,0.649414] area_under_roc_curve 0.6820519893125434 [0.682052,0.682052] area_under_roc_curve 0.6652559443537094 [0.665256,0.665256] area_under_roc_curve 0.6792742621790955 [0.679274,0.679274] area_under_roc_curve 0.6744051529396681 [0.674405,0.674405] area_under_roc_curve 0.623222751602501 [0.623223,0.623223] area_under_roc_curve 0.6762945131802357 [0.676295,0.676295] 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 0.8912724325644434 [0.961239,0.01061] f_measure 0.8923708109412064 [0.961986,0.016129] f_measure 0.8911837454487681 [0.961355,0.005348] f_measure 0.8922507220779222 [0.961662,0.016] f_measure 0.8923538127020071 [0.96177,0.016043] f_measure 0.8921769403047907 [0.961994,0.010811] f_measure 0.8916887052002076 [0.961894,0.00542] f_measure 0.8935238799552461 [0.962186,0.026738] f_measure 0.8907795050803988 [0.960923,0.005291] f_measure 0.8923538127020071 [0.96177,0.016043] kappa 0.007121044987798527 kappa 0.01456929677941876 kappa 0.002607163425497394 kappa 0.012908693251613068 kappa 0.013331817582212779 kappa 0.009632005230008595 kappa 0.0046280726344864 kappa 0.024056471738928165 kappa 0.001023419624363188 kappa 0.013331817582212779 kb_relative_information_score -2618.2312285071775 kb_relative_information_score -2725.589430927601 kb_relative_information_score -2750.0072163601308 kb_relative_information_score -2745.344662929934 kb_relative_information_score -2634.8676567178736 kb_relative_information_score -2568.806369779779 kb_relative_information_score -2643.732828478564 kb_relative_information_score -2563.279008184114 kb_relative_information_score -3133.0709035180507 kb_relative_information_score -2670.051185398188 mean_absolute_error 0.12827507328179735 mean_absolute_error 0.1286977277998879 mean_absolute_error 0.1286789671175974 mean_absolute_error 0.12917932079863692 mean_absolute_error 0.1279741550912323 mean_absolute_error 0.1272497282023881 mean_absolute_error 0.12786721059534165 mean_absolute_error 0.12679647572369523 mean_absolute_error 0.133027450988187 mean_absolute_error 0.12819649664499 mean_prior_absolute_error 0.1362441822326865 mean_prior_absolute_error 0.1362441822326865 mean_prior_absolute_error 0.13607356505737367 mean_prior_absolute_error 0.13607356505737367 mean_prior_absolute_error 0.13607356505737367 mean_prior_absolute_error 0.13607356505737367 mean_prior_absolute_error 0.13607356505737367 mean_prior_absolute_error 0.13607356505737367 mean_prior_absolute_error 0.13607356505737367 mean_prior_absolute_error 0.13607356505737367 number_of_instances 5000 [4632,368] number_of_instances 5000 [4632,368] number_of_instances 5000 [4633,367] number_of_instances 5000 [4633,367] number_of_instances 5000 [4633,367] number_of_instances 5000 [4633,367] number_of_instances 5000 [4633,367] number_of_instances 5000 [4633,367] number_of_instances 5000 [4633,367] number_of_instances 5000 [4633,367] precision 0.8748207929829247 [0.926668,0.222222] precision 0.9139186549239392 [0.926942,0.75] precision 0.8691635031901805 [0.926697,0.142857] precision 0.8865604166666667 [0.927083,0.375] precision 0.8905060913850821 [0.927098,0.428571] precision 0.9078509238876661 [0.926956,0.666667] precision 0.8954457382953181 [0.926771,0.5] precision 0.9118486795799834 [0.927498,0.714286] precision 0.8652960586016508 [0.926639,0.090909] precision 0.8905060913850821 [0.927098,0.428571] predictive_accuracy 0.9254000000000001 predictive_accuracy 0.9268000000000001 predictive_accuracy 0.9256 predictive_accuracy 0.9262 predictive_accuracy 0.9264 predictive_accuracy 0.9268000000000001 predictive_accuracy 0.9266 predictive_accuracy 0.9272 predictive_accuracy 0.9248000000000001 predictive_accuracy 0.9264 prior_entropy 0.37869426717933 prior_entropy 0.37869426717933 prior_entropy 0.37869426717933 prior_entropy 0.37869426717933 prior_entropy 0.37869426717933 prior_entropy 0.37869426717933 prior_entropy 0.37869426717933 prior_entropy 0.37869426717933 prior_entropy 0.37869426717933 prior_entropy 0.37869426717933 recall 0.9254 [0.998489,0.005435] recall 0.9268 [0.999784,0.008152] recall 0.9256 [0.998705,0.002725] recall 0.9262 [0.998921,0.008174] recall 0.9264 [0.999137,0.008174] recall 0.9268 [0.999784,0.00545] recall 0.9266 [0.999784,0.002725] recall 0.9272 [0.999568,0.013624] recall 0.9248 [0.997842,0.002725] recall 0.9264 [0.999137,0.008174] relative_absolute_error 0.941508629430657 relative_absolute_error 0.9446108134003822 relative_absolute_error 0.9456573513256714 relative_absolute_error 0.9493344335041867 relative_absolute_error 0.9404777117236081 relative_absolute_error 0.9351539231645389 relative_absolute_error 0.9396917802618612 relative_absolute_error 0.9318229861195533 relative_absolute_error 0.9776142113429428 relative_absolute_error 0.9421116922374864 root_mean_prior_squared_error 0.2611188626494895 root_mean_prior_squared_error 0.2611188626494895 root_mean_prior_squared_error 0.26079195397107247 root_mean_prior_squared_error 0.26079195397107247 root_mean_prior_squared_error 0.26079195397107247 root_mean_prior_squared_error 0.26079195397107247 root_mean_prior_squared_error 0.26079195397107247 root_mean_prior_squared_error 0.26079195397107247 root_mean_prior_squared_error 0.26079195397107247 root_mean_prior_squared_error 0.26079195397107247 root_mean_squared_error 0.2596184064914648 root_mean_squared_error 0.2595808620197891 root_mean_squared_error 0.2601483161094909 root_mean_squared_error 0.260110768338368 root_mean_squared_error 0.25744924436100053 root_mean_squared_error 0.25784442482459347 root_mean_squared_error 0.25687661538131884 root_mean_squared_error 0.2568181004908635 root_mean_squared_error 0.26439462790525253 root_mean_squared_error 0.2570659947314776 root_relative_squared_error 0.994253742748417 root_relative_squared_error 0.9941099596785355 root_relative_squared_error 0.9975319872726865 root_relative_squared_error 0.9973880113157938 root_relative_squared_error 0.9871824664865132 root_relative_squared_error 0.9886977757496079 root_relative_squared_error 0.9849867354796232 root_relative_squared_error 0.9847623616461353 root_relative_squared_error 1.0138143599881908 root_relative_squared_error 0.985712905697972 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 69963.31576000003 usercpu_time_millis 69811.08564699997 usercpu_time_millis 70332.38616499995 usercpu_time_millis 68367.07309200005 usercpu_time_millis 71841.65634099998 usercpu_time_millis 68173.21354599994 usercpu_time_millis 69146.44519199998 usercpu_time_millis 64127.29867399992 usercpu_time_millis 67548.72575999991 usercpu_time_millis 70873.35924900003 usercpu_time_millis_testing 370.60082000002126 usercpu_time_millis_testing 372.08146299997225 usercpu_time_millis_testing 542.0151059999512 usercpu_time_millis_testing 384.9999750000279 usercpu_time_millis_testing 447.26184799998236 usercpu_time_millis_testing 413.5788359999424 usercpu_time_millis_testing 342.98386199998276 usercpu_time_millis_testing 354.869115999918 usercpu_time_millis_testing 396.4789499999597 usercpu_time_millis_testing 376.3620089999904 usercpu_time_millis_training 69592.71494 usercpu_time_millis_training 69439.004184 usercpu_time_millis_training 69790.371059 usercpu_time_millis_training 67982.07311700002 usercpu_time_millis_training 71394.394493 usercpu_time_millis_training 67759.63471 usercpu_time_millis_training 68803.46133 usercpu_time_millis_training 63772.429557999996 usercpu_time_millis_training 67152.24680999995 usercpu_time_millis_training 70496.99724000004