10392120 8323 Heinrich Peters 9910 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8232360 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 1091.7044234294376 13389 cache_size 200 13389 class_weight null 13389 coef0 0.22557986981301337 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0014491159214531093 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 1 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. 4134 Bioresponse https://www.openml.org/data/download/1681097/phpSSK7iA -1 21705949 description https://api.openml.org/data/download/21705949/description.xml -1 21705950 predictions https://api.openml.org/data/download/21705950/predictions.arff area_under_roc_curve 0.7583795339450655 [0.75838,0.75838] average_cost 0 f_measure 0.7613784614697998 [0.733671,0.784767] kappa 0.5186657602248802 kb_relative_information_score 0.5189196575607816 mean_absolute_error 0.23806984804052253 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.761543480894994 [0.751834,0.76974] predictive_accuracy 0.7619301519594776 prior_entropy 0.9948419333531207 recall 0.7619301519594774 [0.716366,0.800393] relative_absolute_error 0.4795629452757286 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.48792401871656466 root_relative_squared_error 0.9793516045547674 total_cost 0 area_under_roc_curve 0.7823187414500685 [0.782319,0.782319] area_under_roc_curve 0.7760339099553213 [0.776034,0.776034] area_under_roc_curve 0.7348923129797228 [0.734892,0.734892] area_under_roc_curve 0.7690886699507389 [0.769089,0.769089] area_under_roc_curve 0.756128995303013 [0.756129,0.756129] area_under_roc_curve 0.761942948791385 [0.761943,0.761943] area_under_roc_curve 0.6966147325008594 [0.696615,0.696615] area_under_roc_curve 0.7650928792569659 [0.765093,0.765093] area_under_roc_curve 0.7879256965944272 [0.787926,0.787926] area_under_roc_curve 0.7537839697282421 [0.753784,0.753784] 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 0.7844130730122846 [0.762463,0.80292] f_measure 0.7783807247593826 [0.755162,0.798054] f_measure 0.7392853203403881 [0.69969,0.772834] f_measure 0.7706666666666667 [0.75,0.788177] f_measure 0.759291801013358 [0.730539,0.783654] f_measure 0.7648069933287325 [0.738095,0.78744] f_measure 0.7002228243116004 [0.662651,0.732057] f_measure 0.7693658988308831 [0.736196,0.79717] f_measure 0.789381623340807 [0.769679,0.805897] f_measure 0.7568445962956303 [0.728358,0.780723] kappa 0.5654109589041095 kappa 0.5532959226143489 kappa 0.47420534539830295 kappa 0.5381773399014779 kappa 0.5145421593164754 kappa 0.5257530466773971 kappa 0.3953354448603514 kappa 0.5342287694974005 kappa 0.5755791464305668 kappa 0.5092540661805944 kb_relative_information_score 0.564646389286632 kb_relative_information_score 0.5528412676078192 kb_relative_information_score 0.4774169031079356 kb_relative_information_score 0.5366789037864154 kb_relative_information_score 0.5151290853578775 kb_relative_information_score 0.5259039945721463 kb_relative_information_score 0.39660508400091776 kb_relative_information_score 0.5363753720675125 kb_relative_information_score 0.574112260387597 kb_relative_information_score 0.5094204518388797 mean_absolute_error 0.2154255319148936 mean_absolute_error 0.22133333333333333 mean_absolute_error 0.25866666666666666 mean_absolute_error 0.22933333333333333 mean_absolute_error 0.24 mean_absolute_error 0.23466666666666666 mean_absolute_error 0.2986666666666667 mean_absolute_error 0.22933333333333333 mean_absolute_error 0.21066666666666667 mean_absolute_error 0.24266666666666667 mean_prior_absolute_error 0.4964057123095849 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 number_of_instances 376 [172,204] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [171,204] number_of_instances 375 [171,204] number_of_instances 375 [171,204] precision 0.7843520956379422 [0.769231,0.797101] precision 0.7783734070320898 [0.766467,0.788462] precision 0.7419906181015452 [0.748344,0.736607] precision 0.7706666666666667 [0.75,0.788177] precision 0.7596754187677505 [0.753086,0.765258] precision 0.7649831618695334 [0.756098,0.772512] precision 0.7005612403100775 [0.6875,0.711628] precision 0.7709231671554253 [0.774194,0.768182] precision 0.789441173101157 [0.767442,0.807882] precision 0.7568877586406195 [0.743902,0.767773] predictive_accuracy 0.7845744680851063 predictive_accuracy 0.7786666666666666 predictive_accuracy 0.7413333333333334 predictive_accuracy 0.7706666666666666 predictive_accuracy 0.76 predictive_accuracy 0.7653333333333333 predictive_accuracy 0.7013333333333334 predictive_accuracy 0.7706666666666666 predictive_accuracy 0.7893333333333333 predictive_accuracy 0.7573333333333333 prior_entropy 0.9947691829105159 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 recall 0.7845744680851063 [0.755814,0.808824] recall 0.7786666666666666 [0.744186,0.807882] recall 0.7413333333333333 [0.656977,0.812808] recall 0.7706666666666667 [0.75,0.788177] recall 0.76 [0.709302,0.802956] recall 0.7653333333333333 [0.72093,0.802956] recall 0.7013333333333334 [0.639535,0.753695] recall 0.7706666666666667 [0.701754,0.828431] recall 0.7893333333333333 [0.77193,0.803922] recall 0.7573333333333333 [0.71345,0.794118] relative_absolute_error 0.43397069488302514 relative_absolute_error 0.44577932206979654 relative_absolute_error 0.5209710149490393 relative_absolute_error 0.4618918276867771 relative_absolute_error 0.483375168509418 relative_absolute_error 0.4726334980980975 relative_absolute_error 0.6015335430339424 relative_absolute_error 0.4621014607914303 relative_absolute_error 0.4244885511921278 relative_absolute_error 0.48896782479093204 root_mean_prior_squared_error 0.4981860380352768 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_squared_error 0.464139560816457 root_mean_squared_error 0.4704607670500627 root_mean_squared_error 0.508592829940284 root_mean_squared_error 0.4788875998951459 root_mean_squared_error 0.4898979485566356 root_mean_squared_error 0.4844240566555987 root_mean_squared_error 0.5465040408511787 root_mean_squared_error 0.4788875998951459 root_mean_squared_error 0.45898438608156017 root_mean_squared_error 0.49261208538429774 root_relative_squared_error 0.931659110012214 root_relative_squared_error 0.944151592412003 root_relative_squared_error 1.02067752277917 root_relative_squared_error 0.9610631144918631 root_relative_squared_error 0.9831594059359713 root_relative_squared_error 0.9721740398501627 root_relative_squared_error 1.096760232876821 root_relative_squared_error 0.9614993324940455 root_relative_squared_error 0.9215381248945191 root_relative_squared_error 0.9890550337473941 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 32881.65833699895 usercpu_time_millis 28274.785236999378 usercpu_time_millis 26275.167714999043 usercpu_time_millis 29021.99519900023 usercpu_time_millis 27789.345021999907 usercpu_time_millis 29081.36999800081 usercpu_time_millis 26690.584294001383 usercpu_time_millis 25998.38678300148 usercpu_time_millis 27797.90127200249 usercpu_time_millis 35174.73746599899 usercpu_time_millis_testing 1867.676849999043 usercpu_time_millis_testing 2026.1236749993259 usercpu_time_millis_testing 2233.9253529989946 usercpu_time_millis_testing 2174.891167000169 usercpu_time_millis_testing 1870.95832399973 usercpu_time_millis_testing 2160.585738000009 usercpu_time_millis_testing 1881.395345000783 usercpu_time_millis_testing 1862.7469170005497 usercpu_time_millis_testing 2112.7386710013525 usercpu_time_millis_testing 1862.2059619992797 usercpu_time_millis_training 31013.98148699991 usercpu_time_millis_training 26248.661562000052 usercpu_time_millis_training 24041.242362000048 usercpu_time_millis_training 26847.10403200006 usercpu_time_millis_training 25918.386698000177 usercpu_time_millis_training 26920.7842600008 usercpu_time_millis_training 24809.1889490006 usercpu_time_millis_training 24135.63986600093 usercpu_time_millis_training 25685.16260100114 usercpu_time_millis_training 33312.53150399971 wall_clock_time_millis 32882.25984573364 wall_clock_time_millis 28278.937101364136 wall_clock_time_millis 26275.64263343811 wall_clock_time_millis 29022.53031730652 wall_clock_time_millis 27789.851188659668 wall_clock_time_millis 29081.90941810608 wall_clock_time_millis 26691.04266166687 wall_clock_time_millis 26002.26354598999 wall_clock_time_millis 27798.410177230835 wall_clock_time_millis 35175.35328865051 wall_clock_time_millis_testing 1867.7361011505127 wall_clock_time_millis_testing 2026.4978408813477 wall_clock_time_millis_testing 2233.997344970703 wall_clock_time_millis_testing 2174.9701499938965 wall_clock_time_millis_testing 1870.9897994995117 wall_clock_time_millis_testing 2160.6507301330566 wall_clock_time_millis_testing 1881.4384937286377 wall_clock_time_millis_testing 1863.088607788086 wall_clock_time_millis_testing 2112.7915382385254 wall_clock_time_millis_testing 1862.2550964355469 wall_clock_time_millis_training 31014.52374458313 wall_clock_time_millis_training 26252.439260482788 wall_clock_time_millis_training 24041.645288467407 wall_clock_time_millis_training 26847.560167312622 wall_clock_time_millis_training 25918.861389160156 wall_clock_time_millis_training 26921.258687973022 wall_clock_time_millis_training 24809.604167938232 wall_clock_time_millis_training 24139.174938201904 wall_clock_time_millis_training 25685.61863899231 wall_clock_time_millis_training 33313.098192214966