10330618 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) 8186187 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 100000.0 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.00194197897644 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 10872 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 21582935 description https://api.openml.org/data/download/21582935/description.xml -1 21582936 predictions https://api.openml.org/data/download/21582936/predictions.arff area_under_roc_curve 0.7657240997394898 [0.765724,0.765724] average_cost 0 f_measure 0.7659715417622288 [0.749644,0.779754] kappa 0.5295974627505559 kb_relative_information_score 0.5264617905889449 mean_absolute_error 0.23433750999733405 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.7669257382012511 [0.733556,0.795095] predictive_accuracy 0.765662490002666 prior_entropy 0.9948419333531207 recall 0.765662490002666 [0.766453,0.764995] relative_absolute_error 0.4720446012288528 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.48408419721917595 root_relative_squared_error 0.9716443894958262 total_cost 0 area_under_roc_curve 0.7839717282261743 [0.783972,0.783972] area_under_roc_curve 0.7572173215717722 [0.757217,0.757217] area_under_roc_curve 0.7570168404170008 [0.757017,0.757017] area_under_roc_curve 0.7598808569137357 [0.759881,0.759881] area_under_roc_curve 0.7675134608775347 [0.767513,0.767513] area_under_roc_curve 0.7654943292473366 [0.765494,0.765494] area_under_roc_curve 0.7377563294764578 [0.737756,0.737756] area_under_roc_curve 0.7767027863777091 [0.776703,0.776703] area_under_roc_curve 0.7819057447540421 [0.781906,0.781906] area_under_roc_curve 0.7698228414172686 [0.769823,0.769823] 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 0.7823105128576252 [0.772222,0.790816] f_measure 0.7576244314489927 [0.740741,0.77193] f_measure 0.759617395300741 [0.733728,0.781553] f_measure 0.7577271801880682 [0.749311,0.764858] f_measure 0.7682155070775782 [0.750716,0.783042] f_measure 0.7656415410385259 [0.75,0.778894] f_measure 0.7388684165379997 [0.718391,0.756219] f_measure 0.7786127096343989 [0.756598,0.797066] f_measure 0.7790637025647597 [0.77135,0.78553] f_measure 0.7708569793395524 [0.751445,0.787129] kappa 0.5638297872340425 kappa 0.5128410112920955 kappa 0.5154064842201993 kappa 0.5154144360347055 kappa 0.5338419992284281 kappa 0.5291095890410958 kappa 0.4746697924409629 kappa 0.5536674553667454 kappa 0.5582662749606164 kappa 0.5386266094420602 kb_relative_information_score 0.5592716533518982 kb_relative_information_score 0.5097416307507426 kb_relative_information_score 0.5151290853578773 kb_relative_information_score 0.5097416307507422 kb_relative_information_score 0.5312914491792807 kb_relative_information_score 0.525903994572146 kb_relative_information_score 0.47202944850080103 kb_relative_information_score 0.5525483242046915 kb_relative_information_score 0.5525483242046909 kb_relative_information_score 0.5363753720675116 mean_absolute_error 0.21808510638297873 mean_absolute_error 0.24266666666666667 mean_absolute_error 0.24 mean_absolute_error 0.24266666666666667 mean_absolute_error 0.232 mean_absolute_error 0.23466666666666666 mean_absolute_error 0.2613333333333333 mean_absolute_error 0.22133333333333333 mean_absolute_error 0.22133333333333333 mean_absolute_error 0.22933333333333333 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 0.7855364418288819 [0.739362,0.824468] precision 0.7584432029795158 [0.726257,0.785714] precision 0.7596264483772411 [0.746988,0.770335] precision 0.7620101676910235 [0.712042,0.804348] precision 0.7687042173143869 [0.740113,0.792929] precision 0.7666461538461539 [0.733333,0.794872] precision 0.7392383127760013 [0.710227,0.763819] precision 0.7785698708751795 [0.758824,0.795122] precision 0.7843469945355191 [0.729167,0.830601] precision 0.7712228571428571 [0.742857,0.795] predictive_accuracy 0.7819148936170213 predictive_accuracy 0.7573333333333333 predictive_accuracy 0.76 predictive_accuracy 0.7573333333333333 predictive_accuracy 0.768 predictive_accuracy 0.7653333333333333 predictive_accuracy 0.7386666666666666 predictive_accuracy 0.7786666666666666 predictive_accuracy 0.7786666666666666 predictive_accuracy 0.7706666666666666 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 0.7819148936170213 [0.80814,0.759804] recall 0.7573333333333333 [0.755814,0.758621] recall 0.76 [0.72093,0.793103] recall 0.7573333333333333 [0.790698,0.729064] recall 0.768 [0.761628,0.773399] recall 0.7653333333333333 [0.767442,0.763547] recall 0.7386666666666667 [0.726744,0.748768] recall 0.7786666666666666 [0.754386,0.79902] recall 0.7786666666666666 [0.818713,0.745098] recall 0.7706666666666667 [0.760234,0.779412] relative_absolute_error 0.4393283577828156 relative_absolute_error 0.4887460037150781 relative_absolute_error 0.483375168509418 relative_absolute_error 0.4887460037150781 relative_absolute_error 0.4672626628924374 relative_absolute_error 0.4726334980980975 relative_absolute_error 0.5263418501546995 relative_absolute_error 0.4459816423917292 relative_absolute_error 0.4459816423917292 relative_absolute_error 0.4621014607914303 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 0.4669958312265525 root_mean_squared_error 0.49261208538429774 root_mean_squared_error 0.4898979485566356 root_mean_squared_error 0.49261208538429774 root_mean_squared_error 0.48166378315169184 root_mean_squared_error 0.4844240566555987 root_mean_squared_error 0.511207720338155 root_mean_squared_error 0.4704607670500627 root_mean_squared_error 0.4704607670500627 root_mean_squared_error 0.4788875998951459 root_relative_squared_error 0.9373924509572152 root_relative_squared_error 0.9886063141318009 root_relative_squared_error 0.9831594059359713 root_relative_squared_error 0.9886063141318009 root_relative_squared_error 0.966634541539714 root_relative_squared_error 0.9721740398501627 root_relative_squared_error 1.025925256715866 root_relative_squared_error 0.9445801344246856 root_relative_squared_error 0.9445801344246856 root_relative_squared_error 0.9614993324940455 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 41130.663767049555 usercpu_time_millis 41129.48492501164 usercpu_time_millis 41542.056339996634 usercpu_time_millis 42101.744729996426 usercpu_time_millis 41959.11934401374 usercpu_time_millis 40434.20996097848 usercpu_time_millis 41432.43096600054 usercpu_time_millis 40910.753145988565 usercpu_time_millis 41616.49433898856 usercpu_time_millis 41574.74092300981 usercpu_time_millis_testing 3171.560772025259 usercpu_time_millis_testing 3219.388470024569 usercpu_time_millis_testing 3347.4644779926166 usercpu_time_millis_testing 3284.6738479856867 usercpu_time_millis_testing 3258.2442600105423 usercpu_time_millis_testing 3195.992287975969 usercpu_time_millis_testing 3303.2654170237947 usercpu_time_millis_testing 3244.6596859954298 usercpu_time_millis_testing 3294.665998982964 usercpu_time_millis_testing 3161.680802993942 usercpu_time_millis_training 37959.102995024296 usercpu_time_millis_training 37910.09645498707 usercpu_time_millis_training 38194.59186200402 usercpu_time_millis_training 38817.07088201074 usercpu_time_millis_training 38700.8750840032 usercpu_time_millis_training 37238.21767300251 usercpu_time_millis_training 38129.16554897674 usercpu_time_millis_training 37666.093459993135 usercpu_time_millis_training 38321.828340005595 usercpu_time_millis_training 38413.06012001587 wall_clock_time_millis 41134.03081893921 wall_clock_time_millis 41132.6904296875 wall_clock_time_millis 41545.210123062134 wall_clock_time_millis 46809.87286567688 wall_clock_time_millis 44930.56893348694 wall_clock_time_millis 40450.939893722534 wall_clock_time_millis 42592.19217300415 wall_clock_time_millis 42596.540451049805 wall_clock_time_millis 43504.10723686218 wall_clock_time_millis 45039.87741470337 wall_clock_time_millis_testing 3171.921968460083 wall_clock_time_millis_testing 3219.7415828704834 wall_clock_time_millis_testing 3347.7439880371094 wall_clock_time_millis_testing 3613.020420074463 wall_clock_time_millis_testing 3609.2147827148438 wall_clock_time_millis_testing 3196.300506591797 wall_clock_time_millis_testing 3303.8196563720703 wall_clock_time_millis_testing 3325.0362873077393 wall_clock_time_millis_testing 3747.021436691284 wall_clock_time_millis_testing 3398.07391166687 wall_clock_time_millis_training 37962.108850479126 wall_clock_time_millis_training 37912.94884681702 wall_clock_time_millis_training 38197.466135025024 wall_clock_time_millis_training 43196.85244560242 wall_clock_time_millis_training 41321.354150772095 wall_clock_time_millis_training 37254.63938713074 wall_clock_time_millis_training 39288.37251663208 wall_clock_time_millis_training 39271.504163742065 wall_clock_time_millis_training 39757.0858001709 wall_clock_time_millis_training 41641.8035030365