10558150 8323 Heinrich Peters 9910 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275904 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 C 0.01 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 10000 17462 multi_class "auto" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "lbfgs" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18591 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": "logisticregression", "step_name": "logisticregression"}}] 18591 verbose false 18591 openml-python Sklearn_0.21.2. 4134 Bioresponse https://www.openml.org/data/download/1681097/phpSSK7iA -1 22041260 description https://api.openml.org/data/download/22041260/description.xml -1 22041261 predictions https://api.openml.org/data/download/22041261/predictions.arff area_under_roc_curve 0.8363688008571811 [0.836369,0.836369] average_cost 0 f_measure 0.7689686839849779 [0.743095,0.79081] kappa 0.5340551333471292 kb_relative_information_score 0.4243756961674317 mean_absolute_error 0.2975606719026615 mean_prior_absolute_error 0.4964308656158626 weighted_recall 0.7693948280458545 [0.728596,0.803835] number_of_instances 3751 [1717,2034] precision 0.7690372499112088 [0.758182,0.778201] predictive_accuracy 0.7693948280458544 prior_entropy 0.9948419333531207 relative_absolute_error 0.5994000222639531 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.40496177149284657 root_relative_squared_error 0.8128313948103577 total_cost 0 unweighted_recall 0.7662155986551284 [0.728596,0.803835] area_under_roc_curve 0.8317658458732329 [0.831766,0.831766] area_under_roc_curve 0.8429659754840187 [0.842966,0.842966] area_under_roc_curve 0.8503837782105627 [0.850384,0.850384] area_under_roc_curve 0.8610379195784168 [0.861038,0.861038] area_under_roc_curve 0.8193378393859548 [0.819338,0.819338] area_under_roc_curve 0.8334574407148584 [0.833457,0.833457] area_under_roc_curve 0.819022797571314 [0.819023,0.819023] area_under_roc_curve 0.8306960210984977 [0.830696,0.830696] area_under_roc_curve 0.8533711730306157 [0.853371,0.853371] area_under_roc_curve 0.8213220960898979 [0.821322,0.821322] 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 0.7658439473532472 [0.74269,0.785366] f_measure 0.7620521009410777 [0.734328,0.785542] f_measure 0.7638359378014431 [0.730061,0.792453] f_measure 0.8082876219825372 [0.79661,0.818182] f_measure 0.7565259648137347 [0.726727,0.781775] f_measure 0.7628871279299365 [0.744986,0.778055] f_measure 0.7638359378014431 [0.730061,0.792453] f_measure 0.7590649350649352 [0.727273,0.785714] f_measure 0.7942531199424563 [0.770149,0.814458] f_measure 0.751661448042477 [0.724036,0.774818] kappa 0.5280693747147421 kappa 0.5201501013615517 kappa 0.523630799434131 kappa 0.6150665792250009 kappa 0.5089292138550315 kappa 0.523125723348622 kappa 0.523630799434131 kappa 0.5134924753502854 kappa 0.5847534406143491 kappa 0.49894401103400715 kb_relative_information_score 0.40508396202222025 kb_relative_information_score 0.4192996455557564 kb_relative_information_score 0.43756564803258585 kb_relative_information_score 0.455269761779637 kb_relative_information_score 0.4081169141015997 kb_relative_information_score 0.4144108255102359 kb_relative_information_score 0.4176102729375086 kb_relative_information_score 0.4171136641471589 kb_relative_information_score 0.4625659347788894 kb_relative_information_score 0.4067747096347455 mean_absolute_error 0.3083552370891554 mean_absolute_error 0.3007307715696423 mean_absolute_error 0.2908659253770595 mean_absolute_error 0.2841147857495241 mean_absolute_error 0.30458763808157535 mean_absolute_error 0.3026826761625089 mean_absolute_error 0.29956991184753073 mean_absolute_error 0.300563223419032 mean_absolute_error 0.27968272156355833 mean_absolute_error 0.30442504265986214 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 0.765773965029102 [0.747059,0.781553] precision 0.7623242659258402 [0.754601,0.768868] precision 0.7659355546414369 [0.772727,0.760181] precision 0.8097240790297786 [0.774725,0.839378] precision 0.7570362028598518 [0.751553,0.761682] precision 0.7633788734805684 [0.734463,0.787879] precision 0.7659355546414369 [0.772727,0.760181] precision 0.759706498951782 [0.754717,0.763889] precision 0.7943985666396948 [0.786585,0.800948] precision 0.7515918602640227 [0.73494,0.76555] predictive_accuracy 0.7659574468085107 predictive_accuracy 0.7626666666666666 predictive_accuracy 0.7653333333333333 predictive_accuracy 0.8079999999999999 predictive_accuracy 0.7573333333333333 predictive_accuracy 0.7626666666666666 predictive_accuracy 0.7653333333333333 predictive_accuracy 0.76 predictive_accuracy 0.7946666666666666 predictive_accuracy 0.752 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 relative_absolute_error 0.6211758435544528 relative_absolute_error 0.6056907807643462 relative_absolute_error 0.5858223570532664 relative_absolute_error 0.5722251351570558 relative_absolute_error 0.6134587536815296 relative_absolute_error 0.609622039978893 relative_absolute_error 0.6033527359152151 relative_absolute_error 0.6056280723929465 relative_absolute_error 0.5635543351423393 relative_absolute_error 0.6134095504997782 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 0.4076910332669312 root_mean_squared_error 0.3997166192699968 root_mean_squared_error 0.3955458593011327 root_mean_squared_error 0.38649452915258564 root_mean_squared_error 0.41500443467134546 root_mean_squared_error 0.4077550595175157 root_mean_squared_error 0.4184083662530267 root_mean_squared_error 0.40957176131373074 root_mean_squared_error 0.390914321380709 root_mean_squared_error 0.41712478031862626 root_relative_squared_error 0.8183509816428505 root_relative_squared_error 0.8021775863770393 root_relative_squared_error 0.7938074311123128 root_relative_squared_error 0.7756426267933841 root_relative_squared_error 0.83285817924813 root_relative_squared_error 0.8183096566616506 root_relative_squared_error 0.8396894128990412 root_relative_squared_error 0.8223286115526632 root_relative_squared_error 0.7848686396394712 root_relative_squared_error 0.8374933866128486 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 unweighted_recall 0.7637938896488827 [0.738372,0.789216] unweighted_recall 0.7590359720471991 [0.715116,0.802956] unweighted_recall 0.7597233360064154 [0.69186,0.827586] unweighted_recall 0.8088984992553557 [0.819767,0.79803] unweighted_recall 0.753222018558827 [0.703488,0.802956] unweighted_recall 0.7621434299461565 [0.755814,0.768473] unweighted_recall 0.7597233360064154 [0.69186,0.827586] unweighted_recall 0.7552889576883385 [0.701754,0.808824] unweighted_recall 0.7914086687306502 [0.754386,0.828431] unweighted_recall 0.7488820089439284 [0.71345,0.784314] usercpu_time_millis 2204.6080000000075 usercpu_time_millis 2172.5419999966107 usercpu_time_millis 2320.7000000002154 usercpu_time_millis 2173.2279999996535 usercpu_time_millis 2108.2600000008824 usercpu_time_millis 2144.9780000002647 usercpu_time_millis 2024.0099999973609 usercpu_time_millis 2152.5560000045516 usercpu_time_millis 1983.940000001894 usercpu_time_millis 2499.2499999971187 usercpu_time_millis_testing 33.73999999894295 usercpu_time_millis_testing 33.90999999828637 usercpu_time_millis_testing 30.985999997938052 usercpu_time_millis_testing 40.53600000042934 usercpu_time_millis_testing 40.160000000469154 usercpu_time_millis_testing 30.311999998957617 usercpu_time_millis_testing 32.49399999913294 usercpu_time_millis_testing 32.18200000264915 usercpu_time_millis_testing 33.60600000087288 usercpu_time_millis_testing 43.59399999884772 usercpu_time_millis_training 2170.8680000010645 usercpu_time_millis_training 2138.6319999983243 usercpu_time_millis_training 2289.7140000022773 usercpu_time_millis_training 2132.691999999224 usercpu_time_millis_training 2068.1000000004133 usercpu_time_millis_training 2114.666000001307 usercpu_time_millis_training 1991.515999998228 usercpu_time_millis_training 2120.3740000019025 usercpu_time_millis_training 1950.3340000010212 usercpu_time_millis_training 2455.655999998271 wall_clock_time_millis 1190.2070045471191 wall_clock_time_millis 999.7987747192383 wall_clock_time_millis 989.4969463348389 wall_clock_time_millis 898.291826248169 wall_clock_time_millis 873.4712600708008 wall_clock_time_millis 864.9897575378418 wall_clock_time_millis 843.2717323303223 wall_clock_time_millis 937.6227855682373 wall_clock_time_millis 807.0781230926514 wall_clock_time_millis 1111.5422248840332 wall_clock_time_millis_testing 15.733957290649414 wall_clock_time_millis_testing 11.450767517089844 wall_clock_time_millis_testing 9.855985641479492 wall_clock_time_millis_testing 12.950897216796875 wall_clock_time_millis_testing 12.430191040039062 wall_clock_time_millis_testing 8.693695068359375 wall_clock_time_millis_testing 9.155988693237305 wall_clock_time_millis_testing 9.331941604614258 wall_clock_time_millis_testing 14.715194702148438 wall_clock_time_millis_testing 14.154195785522461 wall_clock_time_millis_training 1174.4730472564697 wall_clock_time_millis_training 988.3480072021484 wall_clock_time_millis_training 979.6409606933594 wall_clock_time_millis_training 885.3409290313721 wall_clock_time_millis_training 861.0410690307617 wall_clock_time_millis_training 856.2960624694824 wall_clock_time_millis_training 834.115743637085 wall_clock_time_millis_training 928.290843963623 wall_clock_time_millis_training 792.3629283905029 wall_clock_time_millis_training 1097.3880290985107 weighted_recall 0.7659574468085106 [0.738372,0.789216] weighted_recall 0.7626666666666667 [0.715116,0.802956] weighted_recall 0.7653333333333333 [0.69186,0.827586] weighted_recall 0.808 [0.819767,0.79803] weighted_recall 0.7573333333333333 [0.703488,0.802956] weighted_recall 0.7626666666666667 [0.755814,0.768473] weighted_recall 0.7653333333333333 [0.69186,0.827586] weighted_recall 0.76 [0.701754,0.808824] weighted_recall 0.7946666666666666 [0.754386,0.828431] weighted_recall 0.752 [0.71345,0.784314]