10326071 8323 Heinrich Peters 10101 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8181753 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 0.10358044072810794 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.1587816891292324 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 1.4548783448559142 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 54024 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. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 21573828 description https://api.openml.org/data/download/21573828/description.xml -1 21573829 predictions https://api.openml.org/data/download/21573829/predictions.arff area_under_roc_curve 0.5399270648531442 [0.539927,0.539927] average_cost 0 f_measure 0.66815513643153 [0.784279,0.296296] kappa 0.08063296178343946 kb_relative_information_score -0.026260314270710926 mean_absolute_error 0.3302139037433155 mean_prior_absolute_error 0.3630445632798566 number_of_instances 748 [570,178] precision 0.6665755913734271 [0.78087,0.300578] predictive_accuracy 0.6697860962566845 prior_entropy 0.7916465694609683 recall 0.6697860962566845 [0.787719,0.292135] relative_absolute_error 0.909568513463089 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.5746424138047204 root_relative_squared_error 1.3494327992989177 total_cost 0 area_under_roc_curve 0.47953216374269003 [0.479532,0.479532] area_under_roc_curve 0.5862573099415205 [0.586257,0.586257] area_under_roc_curve 0.5599415204678363 [0.559942,0.559942] area_under_roc_curve 0.44152046783625737 [0.44152,0.44152] area_under_roc_curve 0.6008771929824561 [0.600877,0.600877] area_under_roc_curve 0.5248538011695907 [0.524854,0.524854] area_under_roc_curve 0.5701754385964912 [0.570175,0.570175] area_under_roc_curve 0.6169590643274853 [0.616959,0.616959] area_under_roc_curve 0.5330237358101135 [0.533024,0.533024] area_under_roc_curve 0.48297213622291024 [0.482972,0.482972] 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 0.6168476441042813 [0.743363,0.216216] f_measure 0.7234197777144485 [0.842975,0.344828] f_measure 0.6933050847457627 [0.813559,0.3125] f_measure 0.6007148407148406 [0.752137,0.121212] f_measure 0.6717667238421956 [0.754717,0.409091] f_measure 0.6533333333333333 [0.77193,0.277778] f_measure 0.6902857142857143 [0.8,0.342857] f_measure 0.7117669172932332 [0.803571,0.421053] f_measure 0.6654935592988689 [0.778761,0.285714] f_measure 0.6406978098788444 [0.775862,0.1875] kappa -0.04017216642754668 kappa 0.1989881956155145 kappa 0.12974683544303786 kappa -0.12403100775193822 kappa 0.1751269035532995 kappa 0.04970760233918129 kappa 0.14307004470938903 kappa 0.22535211267605643 kappa 0.06471183013144581 kappa -0.03552206673842816 kb_relative_information_score -0.19656767383903404 kb_relative_information_score 0.2160418688640812 kb_relative_information_score 0.0922590060531465 kb_relative_information_score -0.19656767383903387 kb_relative_information_score -0.07278481102809946 kb_relative_information_score -0.07278481102809957 kb_relative_information_score 0.05099805178283503 kb_relative_information_score 0.09225900605314681 kb_relative_information_score -0.06856396607722463 kb_relative_information_score -0.11130652472031385 mean_absolute_error 0.38666666666666666 mean_absolute_error 0.25333333333333335 mean_absolute_error 0.29333333333333333 mean_absolute_error 0.38666666666666666 mean_absolute_error 0.3466666666666667 mean_absolute_error 0.3466666666666667 mean_absolute_error 0.30666666666666664 mean_absolute_error 0.29333333333333333 mean_absolute_error 0.33783783783783783 mean_absolute_error 0.35135135135135137 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.35873873873873896 mean_prior_absolute_error 0.35873873873873896 number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 74 [57,17] number_of_instances 74 [57,17] precision 0.6205263157894737 [0.75,0.210526] precision 0.7147159090909091 [0.796875,0.454545] precision 0.6837470725995316 [0.786885,0.357143] precision 0.5893333333333333 [0.733333,0.133333] precision 0.7034850863422293 [0.816327,0.346154] precision 0.6533333333333333 [0.77193,0.277778] precision 0.6874645030425964 [0.793103,0.352941] precision 0.7178181818181819 [0.818182,0.4] precision 0.669026169026169 [0.785714,0.277778] precision 0.6334402198808977 [0.762712,0.2] predictive_accuracy 0.6133333333333334 predictive_accuracy 0.7466666666666667 predictive_accuracy 0.7066666666666667 predictive_accuracy 0.6133333333333334 predictive_accuracy 0.6533333333333333 predictive_accuracy 0.6533333333333333 predictive_accuracy 0.6933333333333332 predictive_accuracy 0.7066666666666667 predictive_accuracy 0.6621621621621621 predictive_accuracy 0.6486486486486487 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7778597106646706 prior_entropy 0.7778597106646706 recall 0.6133333333333333 [0.736842,0.222222] recall 0.7466666666666667 [0.894737,0.277778] recall 0.7066666666666667 [0.842105,0.277778] recall 0.6133333333333333 [0.77193,0.111111] recall 0.6533333333333333 [0.701754,0.5] recall 0.6533333333333333 [0.77193,0.277778] recall 0.6933333333333334 [0.807018,0.333333] recall 0.7066666666666667 [0.789474,0.444444] recall 0.6621621621621622 [0.77193,0.294118] recall 0.6486486486486487 [0.789474,0.176471] relative_absolute_error 1.0619598652409545 relative_absolute_error 0.6957668082613151 relative_absolute_error 0.8056247253552068 relative_absolute_error 1.0619598652409545 relative_absolute_error 0.9521019481470627 relative_absolute_error 0.9521019481470627 relative_absolute_error 0.8422440310531707 relative_absolute_error 0.8056247253552068 relative_absolute_error 0.9417378201908582 relative_absolute_error 0.9794073329984927 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4207539065176338 root_mean_prior_squared_error 0.4207539065176338 root_mean_squared_error 0.621825270205921 root_mean_squared_error 0.5033222956847166 root_mean_squared_error 0.5416025603090641 root_mean_squared_error 0.621825270205921 root_mean_squared_error 0.5887840577551898 root_mean_squared_error 0.5887840577551898 root_mean_squared_error 0.5537749241945383 root_mean_squared_error 0.5416025603090641 root_mean_squared_error 0.5812381937190964 root_mean_squared_error 0.5927489783638191 root_relative_squared_error 1.4559747180184737 root_relative_squared_error 1.1785055587870965 root_relative_squared_error 1.2681370037646376 root_relative_squared_error 1.4559747180184737 root_relative_squared_error 1.3786102680902632 root_relative_squared_error 1.3786102680902632 root_relative_squared_error 1.296638023142481 root_relative_squared_error 1.2681370037646376 root_relative_squared_error 1.3814207894816934 root_relative_squared_error 1.4087783124099813 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 30.71052299856092 usercpu_time_millis 19.76275799825089 usercpu_time_millis 38.21559000061825 usercpu_time_millis 15.92571499713813 usercpu_time_millis 39.701445999526186 usercpu_time_millis 37.07743999984814 usercpu_time_millis 38.089063000370516 usercpu_time_millis 36.626655997679336 usercpu_time_millis 26.932708999083843 usercpu_time_millis 43.07407200030866 usercpu_time_millis_testing 1.2135849974583834 usercpu_time_millis_testing 1.1533119977684692 usercpu_time_millis_testing 1.17093299922999 usercpu_time_millis_testing 1.1474149978312198 usercpu_time_millis_testing 1.18297600056394 usercpu_time_millis_testing 1.2886900003650226 usercpu_time_millis_testing 1.277961000596406 usercpu_time_millis_testing 1.1720869988494087 usercpu_time_millis_testing 1.1886899992532562 usercpu_time_millis_testing 1.1886879983649123 usercpu_time_millis_training 29.496938001102535 usercpu_time_millis_training 18.60944600048242 usercpu_time_millis_training 37.04465700138826 usercpu_time_millis_training 14.77829999930691 usercpu_time_millis_training 38.518469998962246 usercpu_time_millis_training 35.788749999483116 usercpu_time_millis_training 36.81110199977411 usercpu_time_millis_training 35.45456899882993 usercpu_time_millis_training 25.744018999830587 usercpu_time_millis_training 41.88538400194375 wall_clock_time_millis 62.732696533203125 wall_clock_time_millis 35.779476165771484 wall_clock_time_millis 38.24186325073242 wall_clock_time_millis 15.950679779052734 wall_clock_time_millis 39.717674255371094 wall_clock_time_millis 61.13314628601074 wall_clock_time_millis 70.10316848754883 wall_clock_time_millis 36.6671085357666 wall_clock_time_millis 26.9472599029541 wall_clock_time_millis 79.11467552185059 wall_clock_time_millis_testing 1.220703125 wall_clock_time_millis_testing 1.1570453643798828 wall_clock_time_millis_testing 1.1749267578125 wall_clock_time_millis_testing 1.1510848999023438 wall_clock_time_millis_testing 1.1873245239257812 wall_clock_time_millis_testing 17.301082611083984 wall_clock_time_millis_testing 1.2848377227783203 wall_clock_time_millis_testing 1.1777877807617188 wall_clock_time_millis_testing 1.195669174194336 wall_clock_time_millis_testing 1.1959075927734375 wall_clock_time_millis_training 61.511993408203125 wall_clock_time_millis_training 34.6224308013916 wall_clock_time_millis_training 37.06693649291992 wall_clock_time_millis_training 14.79959487915039 wall_clock_time_millis_training 38.53034973144531 wall_clock_time_millis_training 43.83206367492676 wall_clock_time_millis_training 68.81833076477051 wall_clock_time_millis_training 35.48932075500488 wall_clock_time_millis_training 25.751590728759766 wall_clock_time_millis_training 77.91876792907715