10363357 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) 8218805 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 0.5761452312630412 13389 cache_size 200 13389 class_weight null 13389 coef0 0.029506529188189745 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.791726568233543 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 7035 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 21648416 description https://api.openml.org/data/download/21648416/description.xml -1 21648417 predictions https://api.openml.org/data/download/21648417/predictions.arff area_under_roc_curve 0.7237791842692858 [0.723779,0.723779] average_cost 0 f_measure 0.7262539337812922 [0.698413,0.749756] kappa 0.448209305406523 kb_relative_information_score 0.4472693937932295 mean_absolute_error 0.2735270594508131 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.7261410384362973 [0.705045,0.74395] predictive_accuracy 0.7264729405491869 prior_entropy 0.9948419333531207 recall 0.7264729405491869 [0.691904,0.755654] relative_absolute_error 0.55098721372105 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.5229981447871619 root_relative_squared_error 1.0497517085216712 total_cost 0 area_under_roc_curve 0.7097583219334246 [0.709758,0.709758] area_under_roc_curve 0.6959273685416428 [0.695927,0.695927] area_under_roc_curve 0.7185387787833658 [0.718539,0.718539] area_under_roc_curve 0.749384236453202 [0.749384,0.749384] area_under_roc_curve 0.7234648871577501 [0.723465,0.723465] area_under_roc_curve 0.7167201283079391 [0.71672,0.71672] area_under_roc_curve 0.7086865620345973 [0.708687,0.708687] area_under_roc_curve 0.7176642586859305 [0.717664,0.717664] area_under_roc_curve 0.7605779153766771 [0.760578,0.760578] area_under_roc_curve 0.7371001031991744 [0.7371,0.7371] 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 0.7124706854441837 [0.682353,0.737864] f_measure 0.6984462879445134 [0.668622,0.723716] f_measure 0.7218483033932137 [0.688623,0.75] f_measure 0.7496625552002436 [0.732955,0.763819] f_measure 0.7269886435694934 [0.692771,0.755981] f_measure 0.7176361904761904 [0.697143,0.735] f_measure 0.7115408743608893 [0.680473,0.737864] f_measure 0.7215861471861472 [0.684848,0.752381] f_measure 0.7626088091260423 [0.739003,0.782396] f_measure 0.7387826784282278 [0.715116,0.758621] kappa 0.42028323435358605 kappa 0.3923772924762328 kappa 0.4390264952101493 kappa 0.4970034246575342 kappa 0.44932335156924846 kappa 0.4322888400125683 kappa 0.418487781064239 kappa 0.43781352707144094 kappa 0.5214024521402453 kappa 0.4737520405533122 kb_relative_information_score 0.41952851904884725 kb_relative_information_score 0.3912176293937828 kb_relative_information_score 0.43970472085799395 kb_relative_information_score 0.4935792669293384 kb_relative_information_score 0.450479630072263 kb_relative_information_score 0.428929811643724 kb_relative_information_score 0.4181549024294554 kb_relative_information_score 0.43933765924443646 kb_relative_information_score 0.5202024199303324 kb_relative_information_score 0.4716835635187943 mean_absolute_error 0.2872340425531915 mean_absolute_error 0.30133333333333334 mean_absolute_error 0.2773333333333333 mean_absolute_error 0.25066666666666665 mean_absolute_error 0.272 mean_absolute_error 0.2826666666666667 mean_absolute_error 0.288 mean_absolute_error 0.2773333333333333 mean_absolute_error 0.23733333333333334 mean_absolute_error 0.2613333333333333 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 0.7123373080819888 [0.690476,0.730769] precision 0.6983155435552747 [0.674556,0.718447] precision 0.7220661913870052 [0.709877,0.732394] precision 0.7506735042735043 [0.716667,0.779487] precision 0.7274837209302326 [0.71875,0.734884] precision 0.7183061274929181 [0.685393,0.746193] precision 0.7114479737130339 [0.692771,0.727273] precision 0.7220013976240391 [0.710692,0.731481] precision 0.7625618364418939 [0.741176,0.780488] precision 0.7389407657528759 [0.710983,0.762376] predictive_accuracy 0.7127659574468085 predictive_accuracy 0.6986666666666665 predictive_accuracy 0.7226666666666667 predictive_accuracy 0.7493333333333334 predictive_accuracy 0.728 predictive_accuracy 0.7173333333333334 predictive_accuracy 0.7120000000000001 predictive_accuracy 0.7226666666666667 predictive_accuracy 0.7626666666666666 predictive_accuracy 0.7386666666666666 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 0.7127659574468085 [0.674419,0.745098] recall 0.6986666666666667 [0.662791,0.729064] recall 0.7226666666666667 [0.668605,0.768473] recall 0.7493333333333333 [0.75,0.748768] recall 0.728 [0.668605,0.778325] recall 0.7173333333333334 [0.709302,0.724138] recall 0.712 [0.668605,0.748768] recall 0.7226666666666667 [0.660819,0.77451] recall 0.7626666666666667 [0.736842,0.784314] recall 0.7386666666666667 [0.719298,0.754902] relative_absolute_error 0.5786275931773669 relative_absolute_error 0.6069043782396025 relative_absolute_error 0.5585668613886606 relative_absolute_error 0.5048585093320588 relative_absolute_error 0.5478251909773404 relative_absolute_error 0.5693085317999812 relative_absolute_error 0.5800502022113014 relative_absolute_error 0.5588203711896366 relative_absolute_error 0.47822127919113133 relative_absolute_error 0.5265807343902345 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 0.5359422007578724 root_mean_squared_error 0.5489383693397041 root_mean_squared_error 0.5266244708835066 root_mean_squared_error 0.500666222813829 root_mean_squared_error 0.521536192416212 root_mean_squared_error 0.5316640543300503 root_mean_squared_error 0.5366563145999496 root_mean_squared_error 0.5266244708835066 root_mean_squared_error 0.48716869083853626 root_mean_squared_error 0.511207720338155 root_relative_squared_error 1.0757872759170382 root_relative_squared_error 1.101645603304852 root_relative_squared_error 1.0568646051093178 root_relative_squared_error 1.0047698865531072 root_relative_squared_error 1.0466531134101156 root_relative_squared_error 1.066978372439976 root_relative_squared_error 1.07699716850902 root_relative_squared_error 1.0573443065562533 root_relative_squared_error 0.978125913378862 root_relative_squared_error 1.0263909150676696 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 38732.48589600553 usercpu_time_millis 36108.50982600823 usercpu_time_millis 35800.35350899561 usercpu_time_millis 37332.08305299922 usercpu_time_millis 34638.25539998652 usercpu_time_millis 36379.434913993464 usercpu_time_millis 28023.479537994717 usercpu_time_millis 35202.44541800639 usercpu_time_millis 37463.266285005375 usercpu_time_millis 35109.540661011124 usercpu_time_millis_testing 1515.1384589989902 usercpu_time_millis_testing 1521.473626999068 usercpu_time_millis_testing 1472.8089319978608 usercpu_time_millis_testing 1498.7951990042347 usercpu_time_millis_testing 1481.3411079958314 usercpu_time_millis_testing 1505.427399999462 usercpu_time_millis_testing 1250.6169689877424 usercpu_time_millis_testing 1466.4300099975662 usercpu_time_millis_testing 1518.3279890043195 usercpu_time_millis_testing 1496.2505490111653 usercpu_time_millis_training 37217.34743700654 usercpu_time_millis_training 34587.03619900916 usercpu_time_millis_training 34327.54457699775 usercpu_time_millis_training 35833.28785399499 usercpu_time_millis_training 33156.91429199069 usercpu_time_millis_training 34874.007513994 usercpu_time_millis_training 26772.862569006975 usercpu_time_millis_training 33736.015408008825 usercpu_time_millis_training 35944.938296001055 usercpu_time_millis_training 33613.29011199996 wall_clock_time_millis 38751.702070236206 wall_clock_time_millis 36127.2714138031 wall_clock_time_millis 35819.25630569458 wall_clock_time_millis 37351.73964500427 wall_clock_time_millis 34656.4359664917 wall_clock_time_millis 36398.50997924805 wall_clock_time_millis 28029.595375061035 wall_clock_time_millis 35203.11617851257 wall_clock_time_millis 37463.9527797699 wall_clock_time_millis 35110.21113395691 wall_clock_time_millis_testing 1515.6464576721191 wall_clock_time_millis_testing 1522.4053859710693 wall_clock_time_millis_testing 1473.3259677886963 wall_clock_time_millis_testing 1499.7587203979492 wall_clock_time_millis_testing 1482.2931289672852 wall_clock_time_millis_testing 1506.366491317749 wall_clock_time_millis_testing 1250.6415843963623 wall_clock_time_millis_testing 1466.4833545684814 wall_clock_time_millis_testing 1518.3680057525635 wall_clock_time_millis_testing 1496.2995052337646 wall_clock_time_millis_training 37236.05561256409 wall_clock_time_millis_training 34604.86602783203 wall_clock_time_millis_training 34345.930337905884 wall_clock_time_millis_training 35851.98092460632 wall_clock_time_millis_training 33174.142837524414 wall_clock_time_millis_training 34892.1434879303 wall_clock_time_millis_training 26778.953790664673 wall_clock_time_millis_training 33736.63282394409 wall_clock_time_millis_training 35945.584774017334 wall_clock_time_millis_training 33613.911628723145