10228043 6138 Felix Neutatz 3876 Supervised Classification predictive_accuracy 9812 fastsklearnfeature.feature_selection.openml_wrapper.ComplexPipelineWrapper.ComplexPipelineWrapper(pipeline=sklearn.pipeline.Pipeline(features=sklearn.pipeline.FeatureUnion(Temperature=sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))),classifier=sklearn.linear_model.logistic.LogisticRegression))(2) 8153369 n_jobs null 9799 remainder "drop" 9799 sparse_threshold 0.3 9799 transformer_weights null 9799 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "identity", "step_name": "identity", "argument_1": [0]}}] 9799 accept_sparse false 9800 check_inverse true 9800 func {"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"} 9800 inv_kw_args null 9800 inverse_func null 9800 kw_args null 9800 pass_y "deprecated" 9800 validate false 9800 C 0.001 9801 class_weight "balanced" 9801 dual false 9801 fit_intercept true 9801 intercept_scaling 1 9801 max_iter 10000 9801 multi_class "auto" 9801 n_jobs null 9801 penalty "l2" 9801 random_state 14841 9801 solver "lbfgs" 9801 tol 0.0001 9801 verbose 0 9801 warm_start false 9801 memory null 9808 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "features", "step_name": "features"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}] 9808 n_jobs null 9809 transformer_list [{"oml-python:serialized_object": "component_reference", "value": {"key": "Temperature", "step_name": "Temperature"}}] 9809 transformer_weights null 9809 memory null 9810 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Temperature", "step_name": "Temperature"}}] 9810 openml-python Sklearn_0.20.3. 1013 analcatdata_challenger https://www.openml.org/data/download/53547/analcatdata_challenger.arff -1 21377058 description https://api.openml.org/data/download/21377058/description.xml -1 21377059 predictions https://api.openml.org/data/download/21377059/predictions.arff area_under_roc_curve 0.6498708010335917 [0.649871,0.649871] average_cost 0 f_measure 0.7976239047622895 [0.838428,0.212766] kappa 0.11995863495346427 kb_relative_information_score -260.67163905935155 mean_absolute_error 0.26811594202898553 mean_prior_absolute_error 0.1273291925465838 number_of_instances 138 [129,9] precision 0.9059725400457666 [0.96,0.131579] predictive_accuracy 0.7318840579710145 prior_entropy 0.37123232664087563 recall 0.7318840579710145 [0.744186,0.555556] relative_absolute_error 2.10569105691057 root_mean_prior_squared_error 0.24698716957433003 root_mean_squared_error 0.517799132897097 root_relative_squared_error 2.0964616655573556 total_cost 0 area_under_roc_curve 0.34615384615384615 [0.346154,0.346154] area_under_roc_curve 0.46153846153846156 [0.461538,0.461538] area_under_roc_curve 0.8076923076923077 [0.807692,0.807692] area_under_roc_curve 0.8461538461538461 [0.846154,0.846154] area_under_roc_curve 0.38461538461538464 [0.384615,0.384615] area_under_roc_curve 0.4230769230769231 [0.423077,0.423077] area_under_roc_curve 0.8461538461538461 [0.846154,0.846154] area_under_roc_curve 0.8076923076923077 [0.807692,0.807692] area_under_roc_curve 0.7916666666666666 [0.791667,0.791667] 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 0.7267080745341614 [0.782609,0] f_measure 0.8571428571428571 [0.923077,0] f_measure 0.7278911564625851 [0.761905,0.285714] f_measure 0.7835497835497834 [0.818182,0.333333] f_measure 0.7738095238095237 [0.833333,0] f_measure 0.817142857142857 [0.88,0] f_measure 0.7835497835497834 [0.818182,0.333333] f_measure 0.7278911564625851 [0.761905,0.285714] f_measure 1 [1,0.0] f_measure 0.70213996529786 [0.736842,0.285714] kappa -0.1290322580645159 kappa -0.07692307692307698 kappa 0.18604651162790717 kappa 0.24324324324324323 kappa -0.12000000000000016 kappa -0.10526315789473696 kappa 0.24324324324324323 kappa 0.18604651162790717 kappa 1 kappa 0.1772151898734177 kb_relative_information_score -38.71995250780949 kb_relative_information_score -7.087981003123794 kb_relative_information_score -38.719952507809495 kb_relative_information_score -28.175962006247595 kb_relative_information_score -28.17596200624759 kb_relative_information_score -17.63197150468569 kb_relative_information_score -28.17596200624759 kb_relative_information_score -38.719952507809495 kb_relative_information_score 3.744010289974613 kb_relative_information_score -39.00795329934601 mean_absolute_error 0.35714285714285715 mean_absolute_error 0.14285714285714285 mean_absolute_error 0.35714285714285715 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.21428571428571427 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.35714285714285715 mean_absolute_error 0 mean_absolute_error 0.38461538461538464 mean_prior_absolute_error 0.13265306122448978 mean_prior_absolute_error 0.13265306122448978 mean_prior_absolute_error 0.13265306122448978 mean_prior_absolute_error 0.13265306122448978 mean_prior_absolute_error 0.13265306122448978 mean_prior_absolute_error 0.13265306122448978 mean_prior_absolute_error 0.13265306122448978 mean_prior_absolute_error 0.13265306122448978 mean_prior_absolute_error 0.07142857142857141 mean_prior_absolute_error 0.13736263736263735 number_of_instances 14 [13,1] number_of_instances 14 [13,1] number_of_instances 14 [13,1] number_of_instances 14 [13,1] number_of_instances 14 [13,1] number_of_instances 14 [13,1] number_of_instances 14 [13,1] number_of_instances 14 [13,1] number_of_instances 13 [13,0] number_of_instances 13 [12,1] precision 0.8357142857142857 [0.9,0] precision 0.8571428571428571 [0.923077,0] precision 0.9404761904761905 [1,0.166667] precision 0.9428571428571428 [1,0.2] precision 0.8441558441558442 [0.909091,0] precision 0.8511904761904762 [0.916667,0] precision 0.9428571428571428 [1,0.2] precision 0.9404761904761905 [1,0.166667] precision 1 [1,0.0] precision 0.9358974358974359 [1,0.166667] predictive_accuracy 0.6428571428571429 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.6428571428571429 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7857142857142857 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.6428571428571429 predictive_accuracy 1 predictive_accuracy 0.6153846153846154 prior_entropy 0.37123232664087563 prior_entropy 0.37123232664087563 prior_entropy 0.37123232664087563 prior_entropy 0.37123232664087563 prior_entropy 0.37123232664087563 prior_entropy 0.37123232664087563 prior_entropy 0.37123232664087563 prior_entropy 0.37123232664087563 prior_entropy 0.37123232664087563 prior_entropy 0.37123232664087563 recall 0.6428571428571429 [0.692308,0] recall 0.8571428571428571 [0.923077,0] recall 0.6428571428571429 [0.615385,1] recall 0.7142857142857143 [0.692308,1] recall 0.7142857142857143 [0.769231,0] recall 0.7857142857142857 [0.846154,0] recall 0.7142857142857143 [0.692308,1] recall 0.6428571428571429 [0.615385,1] recall 1 [1,0.0] recall 0.6153846153846154 [0.583333,1] relative_absolute_error 2.692307692307693 relative_absolute_error 1.0769230769230769 relative_absolute_error 2.692307692307693 relative_absolute_error 2.1538461538461537 relative_absolute_error 2.1538461538461537 relative_absolute_error 1.6153846153846154 relative_absolute_error 2.1538461538461537 relative_absolute_error 2.692307692307693 relative_absolute_error 0 relative_absolute_error 2.8000000000000007 root_mean_prior_squared_error 0.2575393768188564 root_mean_prior_squared_error 0.2575393768188564 root_mean_prior_squared_error 0.2575393768188564 root_mean_prior_squared_error 0.2575393768188564 root_mean_prior_squared_error 0.2575393768188564 root_mean_prior_squared_error 0.2575393768188564 root_mean_prior_squared_error 0.2575393768188564 root_mean_prior_squared_error 0.2575393768188564 root_mean_prior_squared_error 0.07142857142857141 root_mean_prior_squared_error 0.2665259963875803 root_mean_squared_error 0.5976143046671968 root_mean_squared_error 0.3779644730092272 root_mean_squared_error 0.5976143046671968 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.4629100498862757 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.5976143046671968 root_mean_squared_error 0 root_mean_squared_error 0.6201736729460423 root_relative_squared_error 2.3204774044612853 root_relative_squared_error 1.4675987714106853 root_relative_squared_error 2.3204774044612853 root_relative_squared_error 2.0754980866510833 root_relative_squared_error 2.0754980866510833 root_relative_squared_error 1.7974340685458339 root_relative_squared_error 2.0754980866510833 root_relative_squared_error 2.3204774044612853 root_relative_squared_error 0 root_relative_squared_error 2.326878733600868 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 5.993047000000029 usercpu_time_millis 5.995168999999745 usercpu_time_millis 6.840348999999968 usercpu_time_millis 7.013016999999788 usercpu_time_millis 5.930306000000218 usercpu_time_millis 5.850971999999732 usercpu_time_millis 7.708699999999791 usercpu_time_millis 7.378552000000038 usercpu_time_millis 7.523928000000346 usercpu_time_millis 6.550031999999817 usercpu_time_millis_testing 0.4879909999999654 usercpu_time_millis_testing 0.5790469999999992 usercpu_time_millis_testing 0.5027570000000203 usercpu_time_millis_testing 0.4641309999997567 usercpu_time_millis_testing 0.4830000000000112 usercpu_time_millis_testing 0.6191040000000925 usercpu_time_millis_testing 0.4861409999996624 usercpu_time_millis_testing 0.533082000000018 usercpu_time_millis_testing 0.7152770000002917 usercpu_time_millis_testing 0.46956099999961864 usercpu_time_millis_training 5.505056000000064 usercpu_time_millis_training 5.416121999999746 usercpu_time_millis_training 6.3375919999999475 usercpu_time_millis_training 6.5488860000000315 usercpu_time_millis_training 5.447306000000207 usercpu_time_millis_training 5.23186799999964 usercpu_time_millis_training 7.222559000000128 usercpu_time_millis_training 6.84547000000002 usercpu_time_millis_training 6.808651000000054 usercpu_time_millis_training 6.080471000000198