10363650 8323 Heinrich Peters 3481 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8219096 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 0.7589959989428396 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 5.643789449176531 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 57639 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. 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 21649002 description https://api.openml.org/data/download/21649002/description.xml -1 21649003 predictions https://api.openml.org/data/download/21649003/predictions.arff area_under_roc_curve 0.5036014405762305 [0.506667,0.5,0.51,0.51,0.513333,0.5,0.5,0.5,0.5,0.52,0.5,0.5,0.5,0.5,0.5,0.506667,0.5,0.503333,0.51,0.503333,0.5,0.5,0.5,0.506667,0.5,0.503601] average_cost 0 kappa 0.007202881152460983 kb_relative_information_score 0.03390555845532803 mean_absolute_error 0.07343060940599196 mean_prior_absolute_error 0.07396449117237175 number_of_instances 7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300] predictive_accuracy 0.04540207772220085 prior_entropy 4.700438279892712 recall 0.04540207772220085 [0.013333,0,0.02,0.02,0.026667,0,0,0,0,0.04,0,0,0,0,0,0.013333,0,0.006667,0.02,0.006667,0,0,0,0.013333,0,1] relative_absolute_error 0.9927819179457937 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.27098082848421573 root_relative_squared_error 1.4091003642095172 total_cost 0 area_under_roc_curve 0.5033333333333334 [0.5,0.5,0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.503333] area_under_roc_curve 0.5026666666666666 [0.5,0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.502667] area_under_roc_curve 0.5046666666666666 [0.516667,0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.516667,0.5,0.504667] area_under_roc_curve 0.5026666666666666 [0.516667,0.5,0.516667,0.5,0.533333,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.502667] area_under_roc_curve 0.504 [0.533333,0.5,0.516667,0.516667,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.504] area_under_roc_curve 0.5033333333333334 [0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.533333,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.503333] area_under_roc_curve 0.5026666666666666 [0.5,0.5,0.5,0.516667,0.516667,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.502667] area_under_roc_curve 0.5033377837116155 [0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.533333,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.503338] area_under_roc_curve 0.5060080106809078 [0.5,0.5,0.533333,0.516667,0.516667,0.5,0.5,0.5,0.5,0.55,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.506008] area_under_roc_curve 0.5033377837116155 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.516667,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.533333,0.516667,0.5,0.5,0.5,0.516667,0.5,0.503338] 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 kappa 0.0066666666666666645 kappa 0.005333333333333329 kappa 0.009333333333333329 kappa 0.005333333333333329 kappa 0.008 kappa 0.0066666666666666645 kappa 0.005333333333333329 kappa 0.006675567423230971 kappa 0.012016021361815754 kappa 0.006675567423230971 kb_relative_information_score 0.03336895582504552 kb_relative_information_score 0.032071616539299165 kb_relative_information_score 0.035963634396538435 kb_relative_information_score 0.03207161653930008 kb_relative_information_score 0.034666295110792 kb_relative_information_score 0.03336895582504552 kb_relative_information_score 0.03207161653929949 kb_relative_information_score 0.03342723692869876 kb_relative_information_score 0.03862326010065238 kb_relative_information_score 0.03342722853382754 mean_absolute_error 0.07347140039447857 mean_absolute_error 0.07357001972386713 mean_absolute_error 0.07327416173570145 mean_absolute_error 0.07357001972386713 mean_absolute_error 0.07337278106509001 mean_absolute_error 0.07347140039447857 mean_absolute_error 0.07357001972386713 mean_absolute_error 0.07346696948750989 mean_absolute_error 0.07307198578058778 mean_absolute_error 0.07346696948750989 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396448587535052 mean_prior_absolute_error 0.07396447325283656 mean_prior_absolute_error 0.07396447325283656 number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] predictive_accuracy 0.04487179487179487 predictive_accuracy 0.04358974358974359 predictive_accuracy 0.047435897435897434 predictive_accuracy 0.04358974358974359 predictive_accuracy 0.04615384615384615 predictive_accuracy 0.04487179487179487 predictive_accuracy 0.04358974358974359 predictive_accuracy 0.04492939666238768 predictive_accuracy 0.05006418485237484 predictive_accuracy 0.04492939666238768 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700435698259304 prior_entropy 4.700429514669705 prior_entropy 4.700429514669705 recall 0.04487179487179487 [0,0,0,0.033333,0.033333,0,0,0,0,0.033333,0,0,0,0,0,0.033333,0,0,0.033333,0,0,0,0,0,0,1] recall 0.04358974358974359 [0,0,0.033333,0.033333,0,0,0,0,0,0.033333,0,0,0,0,0,0.033333,0,0,0,0,0,0,0,0,0,1] recall 0.047435897435897434 [0.033333,0,0.033333,0.033333,0,0,0,0,0,0.033333,0,0,0,0,0,0,0,0.033333,0.033333,0,0,0,0,0.033333,0,1] recall 0.04358974358974359 [0.033333,0,0.033333,0,0.066667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] recall 0.046153846153846156 [0.066667,0,0.033333,0.033333,0.033333,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.033333,0,0,0,0,0,1] recall 0.04487179487179487 [0,0,0,0,0.033333,0,0,0,0,0.066667,0,0,0,0,0,0,0,0.033333,0,0,0,0,0,0.033333,0,1] recall 0.04358974358974359 [0,0,0,0.033333,0.033333,0,0,0,0,0.033333,0,0,0,0,0,0,0,0,0.033333,0,0,0,0,0,0,1] recall 0.044929396662387676 [0,0,0,0,0.033333,0,0,0,0,0.066667,0,0,0,0,0,0.033333,0,0,0,0,0,0,0,0.033333,0,1] recall 0.05006418485237484 [0,0,0.066667,0.033333,0.033333,0,0,0,0,0.1,0,0,0,0,0,0.033333,0,0,0.033333,0,0,0,0,0,0,1] recall 0.044929396662387676 [0,0,0,0,0,0,0,0,0,0.033333,0,0,0,0,0,0,0,0,0.066667,0.033333,0,0,0,0.033333,0,1] relative_absolute_error 0.9933333333333443 relative_absolute_error 0.9946666666666776 relative_absolute_error 0.9906666666666776 relative_absolute_error 0.9946666666666776 relative_absolute_error 0.992000000000011 relative_absolute_error 0.9933333333333443 relative_absolute_error 0.9946666666666776 relative_absolute_error 0.9932735774209384 relative_absolute_error 0.98793356549437 relative_absolute_error 0.9932737469294747 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230767088031558 root_mean_prior_squared_error 0.19230763806177284 root_mean_prior_squared_error 0.19230763806177284 root_mean_squared_error 0.2710560834854635 root_mean_squared_error 0.271237939315036 root_mean_squared_error 0.2706920053043707 root_mean_squared_error 0.271237939315036 root_mean_squared_error 0.27087410556398706 root_mean_squared_error 0.2710560834854635 root_mean_squared_error 0.271237939315036 root_mean_squared_error 0.27104790994861017 root_mean_squared_error 0.27031830456073036 root_mean_squared_error 0.27104790994861017 root_relative_squared_error 1.4094915783890067 root_relative_squared_error 1.41043722866539 root_relative_squared_error 1.407598371922187 root_relative_squared_error 1.41043722866539 root_relative_squared_error 1.408545293234748 root_relative_squared_error 1.4094915783890067 root_relative_squared_error 1.41043722866539 root_relative_squared_error 1.4094492887769374 root_relative_squared_error 1.4056555802214106 root_relative_squared_error 1.4094495293085783 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 96864.56654900394 usercpu_time_millis 94517.52936601406 usercpu_time_millis 95914.68980100763 usercpu_time_millis 95169.43456300942 usercpu_time_millis 95785.66978599702 usercpu_time_millis 95749.27610700252 usercpu_time_millis 92665.7522119931 usercpu_time_millis 85073.3561560046 usercpu_time_millis 95884.35913099966 usercpu_time_millis 95412.788437985 usercpu_time_millis_testing 7002.130242995918 usercpu_time_millis_testing 6895.2430990029825 usercpu_time_millis_testing 6925.878916998045 usercpu_time_millis_testing 6902.577503002249 usercpu_time_millis_testing 6940.299436988425 usercpu_time_millis_testing 6920.294123003259 usercpu_time_millis_testing 5119.016212993301 usercpu_time_millis_testing 5107.72901600285 usercpu_time_millis_testing 6921.562599993194 usercpu_time_millis_testing 6976.608109995141 usercpu_time_millis_training 89862.43630600802 usercpu_time_millis_training 87622.28626701108 usercpu_time_millis_training 88988.81088400958 usercpu_time_millis_training 88266.85706000717 usercpu_time_millis_training 88845.37034900859 usercpu_time_millis_training 88828.98198399926 usercpu_time_millis_training 87546.7359989998 usercpu_time_millis_training 79965.62714000174 usercpu_time_millis_training 88962.79653100646 usercpu_time_millis_training 88436.18032798986 wall_clock_time_millis 96866.19925498962 wall_clock_time_millis 94519.0942287445 wall_clock_time_millis 95932.96790122986 wall_clock_time_millis 95171.00477218628 wall_clock_time_millis 95851.82356834412 wall_clock_time_millis 95751.13606452942 wall_clock_time_millis 92670.16196250916 wall_clock_time_millis 85074.77521896362 wall_clock_time_millis 95938.51447105408 wall_clock_time_millis 95451.45273208618 wall_clock_time_millis_testing 7002.290487289429 wall_clock_time_millis_testing 6895.40958404541 wall_clock_time_millis_testing 6927.279233932495 wall_clock_time_millis_testing 6902.740955352783 wall_clock_time_millis_testing 6943.865060806274 wall_clock_time_millis_testing 6920.4511642456055 wall_clock_time_millis_testing 5119.884252548218 wall_clock_time_millis_testing 5107.857465744019 wall_clock_time_millis_testing 6925.613641738892 wall_clock_time_millis_testing 6976.772308349609 wall_clock_time_millis_training 89863.9087677002 wall_clock_time_millis_training 87623.6846446991 wall_clock_time_millis_training 89005.68866729736 wall_clock_time_millis_training 88268.2638168335 wall_clock_time_millis_training 88907.95850753784 wall_clock_time_millis_training 88830.68490028381 wall_clock_time_millis_training 87550.27770996094 wall_clock_time_millis_training 79966.9177532196 wall_clock_time_millis_training 89012.90082931519 wall_clock_time_millis_training 88474.68042373657