10362789 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) 8218261 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 2.5398733497134227 13389 cache_size 200 13389 class_weight null 13389 coef0 0.3172378279542837 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0015977760264046428 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 48740 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 21647280 description https://api.openml.org/data/download/21647280/description.xml -1 21647281 predictions https://api.openml.org/data/download/21647281/predictions.arff area_under_roc_curve 0.7870916321200053 [0.787092,0.787092] average_cost 0 f_measure 0.7885944914407759 [0.769141,0.805016] kappa 0.574157206374221 kb_relative_information_score 0.5727920363333684 mean_absolute_error 0.2114102905891762 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.788599385930086 [0.768917,0.805214] predictive_accuracy 0.7885897094108237 prior_entropy 0.9948419333531207 recall 0.7885897094108237 [0.769365,0.804818] relative_absolute_error 0.42586048779804353 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.45979374787960764 root_relative_squared_error 0.9228890718161661 total_cost 0 area_under_roc_curve 0.7914956680346558 [0.791496,0.791496] area_under_roc_curve 0.7755899873983274 [0.77559,0.77559] area_under_roc_curve 0.7999770878680262 [0.799977,0.799977] area_under_roc_curve 0.7977145148356055 [0.797715,0.797715] area_under_roc_curve 0.8124928399587582 [0.812493,0.812493] area_under_roc_curve 0.7836235536716691 [0.783624,0.783624] area_under_roc_curve 0.7751460648413334 [0.775146,0.775146] area_under_roc_curve 0.7826367389060888 [0.782637,0.782637] area_under_roc_curve 0.7795407636738905 [0.779541,0.779541] area_under_roc_curve 0.7727468180254558 [0.772747,0.772747] 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 0.7926417960090706 [0.774566,0.807882] f_measure 0.7782436587369445 [0.753709,0.799031] f_measure 0.8023520805806093 [0.781065,0.820388] f_measure 0.7975995127150906 [0.784091,0.809045] f_measure 0.8134107861653217 [0.797688,0.826733] f_measure 0.784200644520504 [0.767908,0.798005] f_measure 0.7780935323383082 [0.752239,0.8] f_measure 0.7860056493918256 [0.759036,0.808612] f_measure 0.779048872207277 [0.764873,0.790932] f_measure 0.7735602577212692 [0.755043,0.789082] kappa 0.5824601366742596 kappa 0.5528980823098469 kappa 0.6015564425810527 kappa 0.5933219178082192 kappa 0.6244312816550778 kappa 0.565990826867847 kappa 0.5524995327304357 kappa 0.5679599066793397 kappa 0.5561877058647388 kappa 0.5442065977435545 kb_relative_information_score 0.58077059709083 kb_relative_information_score 0.5528412676078192 kb_relative_information_score 0.6013283590720299 kb_relative_information_score 0.5905534498577604 kb_relative_information_score 0.6228781775005681 kb_relative_information_score 0.563616176822088 kb_relative_information_score 0.5528412676078192 kb_relative_information_score 0.5687212763418708 kb_relative_information_score 0.5525483242046907 kb_relative_information_score 0.5417663561132382 mean_absolute_error 0.2074468085106383 mean_absolute_error 0.22133333333333333 mean_absolute_error 0.19733333333333333 mean_absolute_error 0.20266666666666666 mean_absolute_error 0.18666666666666668 mean_absolute_error 0.216 mean_absolute_error 0.22133333333333333 mean_absolute_error 0.21333333333333335 mean_absolute_error 0.22133333333333333 mean_absolute_error 0.22666666666666666 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 0.7927753523701601 [0.770115,0.811881] precision 0.7783676767676767 [0.769697,0.785714] precision 0.8024517591898697 [0.795181,0.808612] precision 0.7985914529914528 [0.766667,0.825641] precision 0.813534625721965 [0.793103,0.830846] precision 0.7846802488158421 [0.757062,0.808081] precision 0.7784263610757419 [0.773006,0.783019] precision 0.7864770418529055 [0.782609,0.78972] precision 0.7807702556510847 [0.741758,0.813472] precision 0.7740623572407491 [0.744318,0.798995] predictive_accuracy 0.7925531914893617 predictive_accuracy 0.7786666666666666 predictive_accuracy 0.8026666666666666 predictive_accuracy 0.7973333333333333 predictive_accuracy 0.8133333333333332 predictive_accuracy 0.784 predictive_accuracy 0.7786666666666666 predictive_accuracy 0.7866666666666667 predictive_accuracy 0.7786666666666666 predictive_accuracy 0.7733333333333333 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 0.7925531914893617 [0.77907,0.803922] recall 0.7786666666666666 [0.738372,0.812808] recall 0.8026666666666666 [0.767442,0.832512] recall 0.7973333333333333 [0.802326,0.793103] recall 0.8133333333333334 [0.802326,0.82266] recall 0.784 [0.77907,0.788177] recall 0.7786666666666666 [0.732558,0.817734] recall 0.7866666666666666 [0.736842,0.828431] recall 0.7786666666666666 [0.789474,0.769608] recall 0.7733333333333333 [0.766082,0.779412] relative_absolute_error 0.4178977061836538 relative_absolute_error 0.44577932206979654 relative_absolute_error 0.39744180521885475 relative_absolute_error 0.4081834756301751 relative_absolute_error 0.37595846439621394 relative_absolute_error 0.4350376516584762 relative_absolute_error 0.44577932206979654 relative_absolute_error 0.42986182399202816 relative_absolute_error 0.4459816423917292 relative_absolute_error 0.45672818799152987 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 0.45546328997037544 root_mean_squared_error 0.4704607670500627 root_mean_squared_error 0.44422216663887154 root_mean_squared_error 0.4501851470969102 root_mean_squared_error 0.43204937989385733 root_mean_squared_error 0.46475800154489 root_mean_squared_error 0.4704607670500627 root_mean_squared_error 0.46188021535170065 root_mean_squared_error 0.4704607670500627 root_mean_squared_error 0.4760952285695233 root_relative_squared_error 0.9142433853959671 root_relative_squared_error 0.944151592412003 root_relative_squared_error 0.8914942443482649 root_relative_squared_error 0.9034611454998326 root_relative_squared_error 0.86706509574686 root_relative_squared_error 0.932706907732721 root_relative_squared_error 0.944151592412003 root_relative_squared_error 0.927352303233792 root_relative_squared_error 0.9445801344246856 root_relative_squared_error 0.9558928745981855 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 33604.162090981845 usercpu_time_millis 33527.94281898241 usercpu_time_millis 31595.745179991354 usercpu_time_millis 29610.470703002647 usercpu_time_millis 29485.556832005386 usercpu_time_millis 30504.390657006297 usercpu_time_millis 29353.11383899534 usercpu_time_millis 29578.66637900588 usercpu_time_millis 32594.593343994347 usercpu_time_millis 33256.3208710053 usercpu_time_millis_testing 3289.268992986763 usercpu_time_millis_testing 3279.4167659885716 usercpu_time_millis_testing 2445.3445120016113 usercpu_time_millis_testing 2459.888643992599 usercpu_time_millis_testing 2505.7691209949553 usercpu_time_millis_testing 3144.6387430041796 usercpu_time_millis_testing 2433.7689819949446 usercpu_time_millis_testing 2446.146520000184 usercpu_time_millis_testing 2450.3252430004068 usercpu_time_millis_testing 3251.1081410048064 usercpu_time_millis_training 30314.893097995082 usercpu_time_millis_training 30248.52605299384 usercpu_time_millis_training 29150.400667989743 usercpu_time_millis_training 27150.58205901005 usercpu_time_millis_training 26979.78771101043 usercpu_time_millis_training 27359.751914002118 usercpu_time_millis_training 26919.344857000397 usercpu_time_millis_training 27132.519859005697 usercpu_time_millis_training 30144.26810099394 usercpu_time_millis_training 30005.212730000494 wall_clock_time_millis 33604.82835769653 wall_clock_time_millis 33528.60927581787 wall_clock_time_millis 31596.36878967285 wall_clock_time_millis 29610.98289489746 wall_clock_time_millis 29486.095666885376 wall_clock_time_millis 30504.963159561157 wall_clock_time_millis 29353.623151779175 wall_clock_time_millis 29579.18381690979 wall_clock_time_millis 32595.255851745605 wall_clock_time_millis 33256.9580078125 wall_clock_time_millis_testing 3289.3786430358887 wall_clock_time_millis_testing 3279.5159816741943 wall_clock_time_millis_testing 2445.4309940338135 wall_clock_time_millis_testing 2459.9521160125732 wall_clock_time_millis_testing 2505.8414936065674 wall_clock_time_millis_testing 3144.7253227233887 wall_clock_time_millis_testing 2433.837890625 wall_clock_time_millis_testing 2446.2053775787354 wall_clock_time_millis_testing 2450.407028198242 wall_clock_time_millis_testing 3251.223087310791 wall_clock_time_millis_training 30315.449714660645 wall_clock_time_millis_training 30249.093294143677 wall_clock_time_millis_training 29150.937795639038 wall_clock_time_millis_training 27151.030778884888 wall_clock_time_millis_training 26980.25417327881 wall_clock_time_millis_training 27360.23783683777 wall_clock_time_millis_training 26919.785261154175 wall_clock_time_millis_training 27132.978439331055 wall_clock_time_millis_training 30144.848823547363 wall_clock_time_millis_training 30005.73492050171