10330299 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) 8185913 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 81.01143091392721 13389 cache_size 200 13389 class_weight null 13389 coef0 0.5670026792549088 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.036047630142626644 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 20403 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 21582295 description https://api.openml.org/data/download/21582295/description.xml -1 21582296 predictions https://api.openml.org/data/download/21582296/predictions.arff area_under_roc_curve 0.9321354504049855 [0.932135,0.932135] average_cost 0 f_measure 0.987706432123122 [0.993562,0.88499] kappa 0.8785548115734519 kb_relative_information_score 0.827392802363847 mean_absolute_error 0.0121926017772267 mean_prior_absolute_error 0.10221958465180693 number_of_instances 4839 [4578,261] precision 0.987636671445607 [0.992588,0.900794] predictive_accuracy 0.9878073982227733 prior_entropy 0.3028907962597491 recall 0.9878073982227733 [0.994539,0.869732] relative_absolute_error 0.11927852983123204 root_mean_prior_squared_error 0.22589294647411987 root_mean_squared_error 0.1104201149122147 root_relative_squared_error 0.4888161256724558 total_cost 0 area_under_roc_curve 0.9198018139066173 [0.919802,0.919802] area_under_roc_curve 0.935757473967081 [0.935757,0.935757] area_under_roc_curve 0.9593550554249244 [0.959355,0.959355] area_under_roc_curve 0.960446758481693 [0.960447,0.960447] area_under_roc_curve 0.9390325831373865 [0.939033,0.939033] area_under_roc_curve 0.9016627477326168 [0.901663,0.901663] area_under_roc_curve 0.8824319785018476 [0.882432,0.882432] area_under_roc_curve 0.9005710446758481 [0.900571,0.900571] area_under_roc_curve 0.924831834022206 [0.924832,0.924832] area_under_roc_curve 0.9978118161925602 [0.997812,0.997812] 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 0.9854032837663488 [0.992366,0.862745] f_measure 0.9818815457170531 [0.990142,0.836364] f_measure 0.9917355371900827 [0.995633,0.923077] f_measure 0.9937442644712923 [0.996728,0.941176] f_measure 0.987603305785124 [0.99345,0.884615] f_measure 0.9851180573309368 [0.992383,0.857143] f_measure 0.9828183015930052 [0.991304,0.833333] f_measure 0.9831585012333676 [0.991285,0.84] f_measure 0.9893824793812548 [0.994547,0.901961] f_measure 0.9959313541502709 [0.997807,0.962963] kappa 0.8551146082791652 kappa 0.8265371137304874 kappa 0.9187101108498491 kappa 0.9379062606910704 kappa 0.8780651662747736 kappa 0.8495559502664298 kappa 0.824701195219124 kappa 0.8313001045660515 kappa 0.8965281340858559 kappa 0.9607731665719161 kb_relative_information_score 0.794644763841796 kb_relative_information_score 0.7359718392251672 kb_relative_information_score 0.8826541507667405 kb_relative_information_score 0.9119906130750551 kb_relative_information_score 0.823981226150111 kb_relative_information_score 0.794644763841796 kb_relative_information_score 0.7653083015334816 kb_relative_information_score 0.7653083015334814 kb_relative_information_score 0.8573459636243971 kb_relative_information_score 0.9412948348355211 mean_absolute_error 0.014462809917355372 mean_absolute_error 0.01859504132231405 mean_absolute_error 0.008264462809917356 mean_absolute_error 0.006198347107438017 mean_absolute_error 0.012396694214876033 mean_absolute_error 0.014462809917355372 mean_absolute_error 0.01652892561983471 mean_absolute_error 0.01652892561983471 mean_absolute_error 0.010330578512396695 mean_absolute_error 0.004140786749482402 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 0.9853072615639461 [0.991285,0.88] precision 0.9826465070979177 [0.993407,0.793103] precision 0.9917355371900827 [0.995633,0.923077] precision 0.9937280109472624 [0.995643,0.96] precision 0.987603305785124 [0.99345,0.884615] precision 0.9850654305697046 [0.989154,0.913043] precision 0.9828270902651067 [0.987013,0.909091] precision 0.9829994610132949 [0.98913,0.875] precision 0.9894650556952929 [0.991304,0.958333] precision 0.9961549837326236 [1,0.928571] predictive_accuracy 0.9855371900826446 predictive_accuracy 0.981404958677686 predictive_accuracy 0.9917355371900827 predictive_accuracy 0.993801652892562 predictive_accuracy 0.9876033057851239 predictive_accuracy 0.9855371900826446 predictive_accuracy 0.9834710743801652 predictive_accuracy 0.9834710743801652 predictive_accuracy 0.9896694214876033 predictive_accuracy 0.9958592132505175 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 0.9855371900826446 [0.99345,0.846154] recall 0.981404958677686 [0.9869,0.884615] recall 0.9917355371900827 [0.995633,0.923077] recall 0.993801652892562 [0.997817,0.923077] recall 0.987603305785124 [0.99345,0.884615] recall 0.9855371900826446 [0.995633,0.807692] recall 0.9834710743801653 [0.995633,0.769231] recall 0.9834710743801653 [0.99345,0.807692] recall 0.9896694214876033 [0.997812,0.851852] recall 0.9958592132505176 [0.995624,1] relative_absolute_error 0.14175695461200633 relative_absolute_error 0.18225894164400813 relative_absolute_error 0.08100397406400361 relative_absolute_error 0.06075298054800271 relative_absolute_error 0.12150596109600542 relative_absolute_error 0.14175695461200633 relative_absolute_error 0.16200794812800723 relative_absolute_error 0.16200794812800723 relative_absolute_error 0.09945884199583381 relative_absolute_error 0.04054642611856556 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 0.12026142323020866 root_mean_squared_error 0.13636363636363635 root_mean_squared_error 0.09090909090909091 root_mean_squared_error 0.0787295821622217 root_mean_squared_error 0.11134044285378082 root_mean_squared_error 0.12026142323020866 root_mean_squared_error 0.128564869306645 root_mean_squared_error 0.128564869306645 root_mean_squared_error 0.10163945352271772 root_mean_squared_error 0.0643489452087787 root_relative_squared_error 0.5333982633486959 root_relative_squared_error 0.6048167805318805 root_relative_squared_error 0.40321118702125375 root_relative_squared_error 0.34919113105048405 root_relative_squared_error 0.49383083339199524 root_relative_squared_error 0.5333982633486959 root_relative_squared_error 0.5702267291860115 root_relative_squared_error 0.5702267291860115 root_relative_squared_error 0.4428496290832164 root_relative_squared_error 0.285130337800934 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 105.54304601100739 usercpu_time_millis 105.54365400457755 usercpu_time_millis 110.33157400379423 usercpu_time_millis 109.05704399920069 usercpu_time_millis 105.30147500685416 usercpu_time_millis 107.04438798711635 usercpu_time_millis 103.82660500181373 usercpu_time_millis 107.54753499350045 usercpu_time_millis 105.64002598403022 usercpu_time_millis 111.09922600735445 usercpu_time_millis_testing 6.5099080093204975 usercpu_time_millis_testing 6.460058008087799 usercpu_time_millis_testing 6.690440000966191 usercpu_time_millis_testing 6.719251003232785 usercpu_time_millis_testing 6.432942012907006 usercpu_time_millis_testing 6.6988069884246215 usercpu_time_millis_testing 6.41503999941051 usercpu_time_millis_testing 6.567356991581619 usercpu_time_millis_testing 6.2884819926694036 usercpu_time_millis_testing 6.66059399372898 usercpu_time_millis_training 99.0331380016869 usercpu_time_millis_training 99.08359599648975 usercpu_time_millis_training 103.64113400282804 usercpu_time_millis_training 102.3377929959679 usercpu_time_millis_training 98.86853299394716 usercpu_time_millis_training 100.34558099869173 usercpu_time_millis_training 97.41156500240322 usercpu_time_millis_training 100.98017800191883 usercpu_time_millis_training 99.35154399136081 usercpu_time_millis_training 104.43863201362547 wall_clock_time_millis 145.58005332946777 wall_clock_time_millis 105.66377639770508 wall_clock_time_millis 110.37111282348633 wall_clock_time_millis 109.11202430725098 wall_clock_time_millis 105.35597801208496 wall_clock_time_millis 107.18703269958496 wall_clock_time_millis 103.8510799407959 wall_clock_time_millis 107.56921768188477 wall_clock_time_millis 105.76343536376953 wall_clock_time_millis 111.14978790283203 wall_clock_time_millis_testing 6.520986557006836 wall_clock_time_millis_testing 6.4716339111328125 wall_clock_time_millis_testing 6.703376770019531 wall_clock_time_millis_testing 6.730556488037109 wall_clock_time_millis_testing 6.445407867431641 wall_clock_time_millis_testing 6.711483001708984 wall_clock_time_millis_testing 6.4239501953125 wall_clock_time_millis_testing 6.578207015991211 wall_clock_time_millis_testing 6.297588348388672 wall_clock_time_millis_testing 6.669521331787109 wall_clock_time_millis_training 139.05906677246094 wall_clock_time_millis_training 99.19214248657227 wall_clock_time_millis_training 103.6677360534668 wall_clock_time_millis_training 102.38146781921387 wall_clock_time_millis_training 98.91057014465332 wall_clock_time_millis_training 100.47554969787598 wall_clock_time_millis_training 97.4271297454834 wall_clock_time_millis_training 100.99101066589355 wall_clock_time_millis_training 99.46584701538086 wall_clock_time_millis_training 104.48026657104492