10391174 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) 8232325 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 13917.287565392886 13389 cache_size 200 13389 class_weight null 13389 coef0 0.030380904322180546 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.0011255179130262153 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 21704057 description https://api.openml.org/data/download/21704057/description.xml -1 21704058 predictions https://api.openml.org/data/download/21704058/predictions.arff area_under_roc_curve 0.7501841152360942 [0.750184,0.750184] average_cost 0 f_measure 0.7543368986559801 [0.719363,0.78386] kappa 0.504258775166047 kb_relative_information_score 0.5065290104430861 mean_absolute_error 0.24420154625433219 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.756036771292957 [0.758888,0.75363] predictive_accuracy 0.7557984537456679 prior_entropy 0.9948419333531207 recall 0.7557984537456678 [0.683751,0.816618] relative_absolute_error 0.4919145104955963 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.49416752853089424 root_relative_squared_error 0.9918834560729628 total_cost 0 area_under_roc_curve 0.7679548563611491 [0.767955,0.767955] area_under_roc_curve 0.7514463283308512 [0.751446,0.751446] area_under_roc_curve 0.7084860808798259 [0.708486,0.708486] area_under_roc_curve 0.7751460648413334 [0.775146,0.775146] area_under_roc_curve 0.7469641425134608 [0.746964,0.746964] area_under_roc_curve 0.7503150418146408 [0.750315,0.750315] area_under_roc_curve 0.7485393515866652 [0.748539,0.748539] area_under_roc_curve 0.7564069487444101 [0.756407,0.756407] area_under_roc_curve 0.7616099071207431 [0.76161,0.76161] area_under_roc_curve 0.7348211214310284 [0.734821,0.734821] 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 0.7723576737179807 [0.738462,0.800937] f_measure 0.7556643137254904 [0.72,0.785882] f_measure 0.7127041930618402 [0.670769,0.748235] f_measure 0.7780935323383082 [0.752239,0.8] f_measure 0.7507645568158026 [0.717325,0.779097] f_measure 0.753754462827386 [0.722892,0.779904] f_measure 0.7528536486408163 [0.716049,0.784038] f_measure 0.7620878117316473 [0.717949,0.799087] f_measure 0.7647793643482266 [0.736527,0.788462] f_measure 0.7394803691968591 [0.69969,0.772834] kappa 0.5405933762649494 kappa 0.5071703998960183 kappa 0.42051904163597764 kappa 0.5524995327304357 kappa 0.4972393212911038 kappa 0.5033112582781458 kappa 0.5015315263249148 kappa 0.5201954113233882 kappa 0.525207182320442 kappa 0.47390115850219106 kb_relative_information_score 0.543147445547701 kb_relative_information_score 0.509741630750743 kb_relative_information_score 0.42354235703659043 kb_relative_information_score 0.5528412676078192 kb_relative_information_score 0.4989667215364739 kb_relative_information_score 0.5043541761436081 kb_relative_information_score 0.5043541761436087 kb_relative_information_score 0.5255934039760596 kb_relative_information_score 0.525593403976059 kb_relative_information_score 0.4770745475645212 mean_absolute_error 0.22606382978723405 mean_absolute_error 0.24266666666666667 mean_absolute_error 0.2853333333333333 mean_absolute_error 0.22133333333333333 mean_absolute_error 0.248 mean_absolute_error 0.24533333333333332 mean_absolute_error 0.24533333333333332 mean_absolute_error 0.23466666666666666 mean_absolute_error 0.23466666666666666 mean_absolute_error 0.25866666666666666 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 0.774820356536852 [0.784314,0.766816] precision 0.7579643172584349 [0.764706,0.752252] precision 0.7144742389448272 [0.712418,0.716216] precision 0.7784263610757419 [0.773006,0.783019] precision 0.7519719511482499 [0.751592,0.752294] precision 0.7544062015503875 [0.75,0.75814] precision 0.755428211785068 [0.763158,0.748879] precision 0.7690503727950536 [0.794326,0.747863] precision 0.7649283481884477 [0.754601,0.773585] precision 0.7415112107623317 [0.743421,0.73991] predictive_accuracy 0.773936170212766 predictive_accuracy 0.7573333333333333 predictive_accuracy 0.7146666666666667 predictive_accuracy 0.7786666666666666 predictive_accuracy 0.752 predictive_accuracy 0.7546666666666667 predictive_accuracy 0.7546666666666667 predictive_accuracy 0.7653333333333333 predictive_accuracy 0.7653333333333333 predictive_accuracy 0.7413333333333334 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 0.773936170212766 [0.697674,0.838235] recall 0.7573333333333333 [0.680233,0.82266] recall 0.7146666666666667 [0.633721,0.783251] recall 0.7786666666666666 [0.732558,0.817734] recall 0.752 [0.686047,0.807882] recall 0.7546666666666667 [0.697674,0.802956] recall 0.7546666666666667 [0.674419,0.82266] recall 0.7653333333333333 [0.654971,0.857843] recall 0.7653333333333333 [0.719298,0.803922] recall 0.7413333333333333 [0.660819,0.808824] relative_absolute_error 0.4554013464821869 relative_absolute_error 0.4887460037150781 relative_absolute_error 0.5746793670056413 relative_absolute_error 0.44577932206979654 relative_absolute_error 0.49948767412639855 relative_absolute_error 0.4941168389207383 relative_absolute_error 0.4941168389207383 relative_absolute_error 0.472848006391231 relative_absolute_error 0.472848006391231 relative_absolute_error 0.5212074615903342 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 0.47546170170396906 root_mean_squared_error 0.49261208538429774 root_mean_squared_error 0.5341660166402701 root_mean_squared_error 0.4704607670500627 root_mean_squared_error 0.4979959839195493 root_mean_squared_error 0.4953113498935123 root_mean_squared_error 0.4953113498935123 root_mean_squared_error 0.4844240566555987 root_mean_squared_error 0.4844240566555987 root_mean_squared_error 0.508592829940284 root_relative_squared_error 0.9543858426443925 root_relative_squared_error 0.9886063141318009 root_relative_squared_error 1.0719994748672002 root_relative_squared_error 0.944151592412003 root_relative_squared_error 0.9994110756155602 root_relative_squared_error 0.9940233755813582 root_relative_squared_error 0.9940233755813582 root_relative_squared_error 0.9726153010025703 root_relative_squared_error 0.9726153010025703 root_relative_squared_error 1.0211407992312005 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 37742.074714000184 usercpu_time_millis 39807.89514699996 usercpu_time_millis 41083.965282000005 usercpu_time_millis 31005.193683000012 usercpu_time_millis 39966.73730399993 usercpu_time_millis 37948.60772199968 usercpu_time_millis 41489.54714199999 usercpu_time_millis 38599.6688179996 usercpu_time_millis 41027.182036000115 usercpu_time_millis 42206.120044999814 usercpu_time_millis_testing 2326.7784950000987 usercpu_time_millis_testing 2352.3743829998693 usercpu_time_millis_testing 2328.4689269999035 usercpu_time_millis_testing 2354.422697000018 usercpu_time_millis_testing 2336.134938999976 usercpu_time_millis_testing 2326.806425999848 usercpu_time_millis_testing 2328.3435929999996 usercpu_time_millis_testing 2325.350993999791 usercpu_time_millis_testing 2348.543694 usercpu_time_millis_testing 2338.4458870000344 usercpu_time_millis_training 35415.29621900008 usercpu_time_millis_training 37455.52076400009 usercpu_time_millis_training 38755.496355000105 usercpu_time_millis_training 28650.770985999996 usercpu_time_millis_training 37630.602364999955 usercpu_time_millis_training 35621.80129599983 usercpu_time_millis_training 39161.20354899999 usercpu_time_millis_training 36274.31782399981 usercpu_time_millis_training 38678.638342000115 usercpu_time_millis_training 39867.674157999776 wall_clock_time_millis 37743.66760253906 wall_clock_time_millis 39810.74619293213 wall_clock_time_millis 41084.726095199585 wall_clock_time_millis 31016.43991470337 wall_clock_time_millis 39967.4129486084 wall_clock_time_millis 37949.405670166016 wall_clock_time_millis 41490.288496017456 wall_clock_time_millis 38600.35276412964 wall_clock_time_millis 41027.950286865234 wall_clock_time_millis 42206.90608024597 wall_clock_time_millis_testing 2327.7668952941895 wall_clock_time_millis_testing 2353.128671646118 wall_clock_time_millis_testing 2328.541040420532 wall_clock_time_millis_testing 2354.496955871582 wall_clock_time_millis_testing 2336.200475692749 wall_clock_time_millis_testing 2326.875686645508 wall_clock_time_millis_testing 2328.418970108032 wall_clock_time_millis_testing 2325.418710708618 wall_clock_time_millis_testing 2348.6154079437256 wall_clock_time_millis_testing 2338.5167121887207 wall_clock_time_millis_training 35415.90070724487 wall_clock_time_millis_training 37457.61752128601 wall_clock_time_millis_training 38756.18505477905 wall_clock_time_millis_training 28661.942958831787 wall_clock_time_millis_training 37631.21247291565 wall_clock_time_millis_training 35622.52998352051 wall_clock_time_millis_training 39161.869525909424 wall_clock_time_millis_training 36274.93405342102 wall_clock_time_millis_training 38679.33487892151 wall_clock_time_millis_training 39868.38936805725