10330223 8323 Heinrich Peters 146820 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8185837 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 92.73723706816457 13389 cache_size 200 13389 class_weight null 13389 coef0 0.7680437918557426 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.3495643019150605 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 64644 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 40983 wilt https://www.openml.org/data/download/18151926/phpcSeK3V -1 21582143 description https://api.openml.org/data/download/21582143/description.xml -1 21582144 predictions https://api.openml.org/data/download/21582144/predictions.arff area_under_roc_curve 0.9232712171655545 [0.923271,0.923271] average_cost 0 f_measure 0.9846798455620138 [0.99192,0.857692] kappa 0.849612067119066 kb_relative_information_score 0.783509616524152 mean_absolute_error 0.01529241578838603 mean_prior_absolute_error 0.10221958465180693 number_of_instances 4839 [4578,261] precision 0.9846535651185102 [0.991703,0.861004] predictive_accuracy 0.984707584211614 prior_entropy 0.3028907962597491 recall 0.984707584211614 [0.992136,0.854406] relative_absolute_error 0.14960357978832492 root_mean_prior_squared_error 0.22589294647411987 root_mean_squared_error 0.12366250760997058 root_relative_squared_error 0.5474385523770144 total_cost 0 area_under_roc_curve 0.8962042324487739 [0.896204,0.896204] area_under_roc_curve 0.9571716493113873 [0.957172,0.957172] area_under_roc_curve 0.9187101108498488 [0.91871,0.91871] area_under_roc_curve 0.9401242861941552 [0.940124,0.940124] area_under_roc_curve 0.9165267047363117 [0.916527,0.916527] area_under_roc_curve 0.9005710446758481 [0.900571,0.900571] area_under_roc_curve 0.8632012092710782 [0.863201,0.863201] area_under_roc_curve 0.9187101108498488 [0.91871,0.91871] area_under_roc_curve 0.9433503525407245 [0.94335,0.94335] area_under_roc_curve 0.9774869550580709 [0.977487,0.977487] 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 0.9756386221474744 [0.986871,0.777778] f_measure 0.9878193110737371 [0.993435,0.888889] f_measure 0.9834710743801653 [0.991266,0.846154] f_measure 0.9895737741188204 [0.994547,0.901961] f_measure 0.9796988517895618 [0.989059,0.814815] f_measure 0.9831585012333676 [0.991285,0.84] f_measure 0.9804663358743211 [0.990228,0.808511] f_measure 0.9834710743801653 [0.991266,0.846154] f_measure 0.991585627552281 [0.995633,0.923077] f_measure 0.991862708300542 [0.995614,0.925926] kappa 0.764667747163695 kappa 0.882333873581848 kappa 0.8374202216996981 kappa 0.8965104344851178 kappa 0.803889789303079 kappa 0.8313001045660515 kappa 0.7988548208348726 kappa 0.8374202216996981 kappa 0.9187169367705099 kappa 0.9215463331438313 kb_relative_information_score 0.6479624523002236 kb_relative_information_score 0.8239812261501107 kb_relative_information_score 0.765308301533482 kb_relative_information_score 0.8533176884584256 kb_relative_information_score 0.7066353769168531 kb_relative_information_score 0.7653083015334814 kb_relative_information_score 0.735971839225167 kb_relative_information_score 0.7653083015334816 kb_relative_information_score 0.8858767708995172 kb_relative_information_score 0.8825896696710438 mean_absolute_error 0.024793388429752067 mean_absolute_error 0.012396694214876033 mean_absolute_error 0.01652892561983471 mean_absolute_error 0.010330578512396695 mean_absolute_error 0.02066115702479339 mean_absolute_error 0.01652892561983471 mean_absolute_error 0.01859504132231405 mean_absolute_error 0.01652892561983471 mean_absolute_error 0.008264462809917356 mean_absolute_error 0.008281573498964804 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 0.9761943598666087 [0.989035,0.75] precision 0.9881755007353094 [0.995614,0.857143] precision 0.9834710743801653 [0.991266,0.846154] precision 0.9895176362556043 [0.993464,0.92] precision 0.9801880734895089 [0.991228,0.785714] precision 0.9829994610132949 [0.98913,0.875] precision 0.980577279909697 [0.984881,0.904762] precision 0.9834710743801653 [0.991266,0.846154] precision 0.9915972559822828 [0.993464,0.96] precision 0.9921529815939755 [0.997802,0.892857] predictive_accuracy 0.9752066115702479 predictive_accuracy 0.9876033057851239 predictive_accuracy 0.9834710743801652 predictive_accuracy 0.9896694214876033 predictive_accuracy 0.9793388429752067 predictive_accuracy 0.9834710743801652 predictive_accuracy 0.981404958677686 predictive_accuracy 0.9834710743801652 predictive_accuracy 0.9917355371900827 predictive_accuracy 0.9917184265010351 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.3019920334260246 prior_entropy 0.31051970666597517 prior_entropy 0.30245108001865134 recall 0.9752066115702479 [0.984716,0.807692] recall 0.987603305785124 [0.991266,0.923077] recall 0.9834710743801653 [0.991266,0.846154] recall 0.9896694214876033 [0.995633,0.884615] recall 0.9793388429752066 [0.9869,0.846154] recall 0.9834710743801653 [0.99345,0.807692] recall 0.981404958677686 [0.995633,0.730769] recall 0.9834710743801653 [0.991266,0.846154] recall 0.9917355371900827 [0.997812,0.888889] recall 0.9917184265010351 [0.993435,0.961538] relative_absolute_error 0.24301192219201084 relative_absolute_error 0.12150596109600542 relative_absolute_error 0.16200794812800723 relative_absolute_error 0.10125496758000452 relative_absolute_error 0.20250993516000904 relative_absolute_error 0.16200794812800723 relative_absolute_error 0.18225894164400813 relative_absolute_error 0.16200794812800723 relative_absolute_error 0.07956707359666704 relative_absolute_error 0.08109285223713111 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 0.1574591643244434 root_mean_squared_error 0.11134044285378082 root_mean_squared_error 0.128564869306645 root_mean_squared_error 0.10163945352271772 root_mean_squared_error 0.14373989364401724 root_mean_squared_error 0.128564869306645 root_mean_squared_error 0.13636363636363635 root_mean_squared_error 0.128564869306645 root_mean_squared_error 0.09090909090909091 root_mean_squared_error 0.09100315103865801 root_relative_squared_error 0.6983822621009681 root_relative_squared_error 0.49383083339199524 root_relative_squared_error 0.5702267291860115 root_relative_squared_error 0.4508038117339522 root_relative_squared_error 0.6375328645236423 root_relative_squared_error 0.5702267291860115 root_relative_squared_error 0.6048167805318805 root_relative_squared_error 0.5702267291860115 root_relative_squared_error 0.39609674977625586 root_relative_squared_error 0.4032351907621028 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 113.55547899438534 usercpu_time_millis 112.6889609877253 usercpu_time_millis 115.34912099887151 usercpu_time_millis 119.03129500569776 usercpu_time_millis 104.3940620002104 usercpu_time_millis 113.83177000971045 usercpu_time_millis 116.63338300422765 usercpu_time_millis 115.4461940022884 usercpu_time_millis 118.4503609983949 usercpu_time_millis 116.26196299039293 usercpu_time_millis_testing 5.6838519958546385 usercpu_time_millis_testing 5.479732993990183 usercpu_time_millis_testing 5.746410999563523 usercpu_time_millis_testing 5.754559999331832 usercpu_time_millis_testing 5.352316002245061 usercpu_time_millis_testing 5.669865000527352 usercpu_time_millis_testing 5.668422003509477 usercpu_time_millis_testing 5.7942900020862 usercpu_time_millis_testing 5.6454430014127865 usercpu_time_millis_testing 5.851387002621777 usercpu_time_millis_training 107.8716269985307 usercpu_time_millis_training 107.20922799373511 usercpu_time_millis_training 109.60270999930799 usercpu_time_millis_training 113.27673500636593 usercpu_time_millis_training 99.04174599796534 usercpu_time_millis_training 108.1619050091831 usercpu_time_millis_training 110.96496100071818 usercpu_time_millis_training 109.6519040002022 usercpu_time_millis_training 112.80491799698211 usercpu_time_millis_training 110.41057598777115 wall_clock_time_millis 113.67464065551758 wall_clock_time_millis 112.72716522216797 wall_clock_time_millis 115.4022216796875 wall_clock_time_millis 119.08221244812012 wall_clock_time_millis 104.44259643554688 wall_clock_time_millis 113.88325691223145 wall_clock_time_millis 116.68539047241211 wall_clock_time_millis 115.48733711242676 wall_clock_time_millis 118.48855018615723 wall_clock_time_millis 162.20664978027344 wall_clock_time_millis_testing 5.692958831787109 wall_clock_time_millis_testing 5.490779876708984 wall_clock_time_millis_testing 5.759239196777344 wall_clock_time_millis_testing 5.765676498413086 wall_clock_time_millis_testing 5.36346435546875 wall_clock_time_millis_testing 5.68079948425293 wall_clock_time_millis_testing 5.681276321411133 wall_clock_time_millis_testing 5.806922912597656 wall_clock_time_millis_testing 5.656003952026367 wall_clock_time_millis_testing 5.863666534423828 wall_clock_time_millis_training 107.98168182373047 wall_clock_time_millis_training 107.23638534545898 wall_clock_time_millis_training 109.64298248291016 wall_clock_time_millis_training 113.31653594970703 wall_clock_time_millis_training 99.07913208007812 wall_clock_time_millis_training 108.20245742797852 wall_clock_time_millis_training 111.00411415100098 wall_clock_time_millis_training 109.6804141998291 wall_clock_time_millis_training 112.83254623413086 wall_clock_time_millis_training 156.3429832458496