10560806 27568 Victorien Fandos 31 Supervised Classification 19015 sklearn.pipeline.Pipeline(ColumnTansformer=sklearn.compose._column_transformer.ColumnTransformer(OneHotEncoder=sklearn.preprocessing._encoders.OneHotEncoder),MaxAbsScaler=sklearn.preprocessing._data.MaxAbsScaler,svc=sklearn.svm._classes.SVC)(1) 8277089 Python_3.7.10. Sklearn_0.24.2. NumPy_1.19.5. SciPy_1.7.1. categories "auto" 18997 drop null 18997 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 18997 handle_unknown "error" 18997 sparse true 18997 C 7.5 19000 break_ties false 19000 cache_size 200 19000 class_weight null 19000 coef0 0.0 19000 decision_function_shape "ovr" 19000 degree 3 19000 gamma 0.04 19000 kernel "poly" 19000 max_iter -1 19000 probability false 19000 random_state 63944 19000 shrinking true 19000 tol 0.001 19000 verbose false 19000 memory null 19015 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "ColumnTansformer", "step_name": "ColumnTansformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "MaxAbsScaler", "step_name": "MaxAbsScaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 19015 verbose false 19015 n_jobs null 19016 remainder "passthrough" 19016 sparse_threshold 0.3 19016 transformer_weights null 19016 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "OneHotEncoder", "step_name": "OneHotEncoder", "argument_1": ["foreign_worker", "own_telephone", "job", "housing", "other_payment_plans", "property_magnitude", "other_parties", "personal_status", "employment", "savings_status", "purpose", "credit_history", "checking_status"]}}] 19016 verbose false 19016 copy true 19017 openml-python Sklearn_0.24.2. 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 22047742 description https://api.openml.org/data/download/22047742/description.xml -1 22047743 predictions https://api.openml.org/data/download/22047743/predictions.arff area_under_roc_curve 0.6800000000000002 [0.68,0.68] average_cost 0 f_measure 0.7541449409976569 [0.844504,0.543307] kappa 0.3945720250521921 kb_relative_information_score 0.407570739395714 mean_absolute_error 0.232 mean_prior_absolute_error 0.42015968063872167 weighted_recall 0.768 [0.9,0.46] number_of_instances 1000 [700,300] precision 0.7558566433566433 [0.795455,0.663462] predictive_accuracy 0.768 prior_entropy 0.8812914463598482 relative_absolute_error 0.5521710213776734 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.48166378315169184 root_relative_squared_error 1.0510761468114513 total_cost 0 unweighted_recall 0.68 [0.9,0.46] area_under_roc_curve 0.7261904761904762 [0.72619,0.72619] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.6761904761904762 [0.67619,0.67619] area_under_roc_curve 0.7357142857142857 [0.735714,0.735714] area_under_roc_curve 0.6523809523809524 [0.652381,0.652381] area_under_roc_curve 0.6880952380952381 [0.688095,0.688095] area_under_roc_curve 0.6761904761904762 [0.67619,0.67619] area_under_roc_curve 0.6738095238095237 [0.67381,0.67381] area_under_roc_curve 0.6976190476190476 [0.697619,0.697619] area_under_roc_curve 0.6738095238095237 [0.67381,0.67381] 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 0.784075235109718 [0.855172,0.618182] f_measure 0.6901185770750987 [0.818182,0.391304] f_measure 0.748024948024948 [0.837838,0.538462] f_measure 0.7866764814133235 [0.853147,0.631579] f_measure 0.727027027027027 [0.824324,0.5] f_measure 0.7698790154359617 [0.862745,0.553191] f_measure 0.748024948024948 [0.837838,0.538462] f_measure 0.7525611569130963 [0.847682,0.530612] f_measure 0.774077578051088 [0.860927,0.571429] f_measure 0.7525611569130963 [0.847682,0.530612] kappa 0.47500000000000014 kappa 0.23076923076923067 kappa 0.3814432989690722 kappa 0.48529411764705893 kappa 0.32989690721649484 kappa 0.4293478260869566 kappa 0.3814432989690722 kappa 0.38829787234042556 kappa 0.44148936170212777 kappa 0.38829787234042556 kb_relative_information_score 0.46374937617714757 kb_relative_information_score 0.28499916823619675 kb_relative_information_score 0.3871421442024545 kb_relative_information_score 0.4637493761771478 kb_relative_information_score 0.33607065621932525 kb_relative_information_score 0.463749376177148 kb_relative_information_score 0.3871421442024544 kb_relative_information_score 0.41267788819401874 kb_relative_information_score 0.46374937617714773 kb_relative_information_score 0.4126778881940194 mean_absolute_error 0.21 mean_absolute_error 0.28 mean_absolute_error 0.24 mean_absolute_error 0.21 mean_absolute_error 0.26 mean_absolute_error 0.21 mean_absolute_error 0.24 mean_absolute_error 0.23 mean_absolute_error 0.21 mean_absolute_error 0.23 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] precision 0.7826666666666666 [0.826667,0.68] precision 0.69375 [0.75,0.5625] precision 0.7473193473193472 [0.794872,0.636364] precision 0.7849315068493151 [0.835616,0.666667] precision 0.7247086247086247 [0.782051,0.590909] precision 0.7860382707299788 [0.795181,0.764706] precision 0.7473193473193472 [0.794872,0.636364] precision 0.7583495776478233 [0.790123,0.684211] precision 0.7827810266406757 [0.802469,0.736842] precision 0.7583495776478233 [0.790123,0.684211] predictive_accuracy 0.79 predictive_accuracy 0.72 predictive_accuracy 0.76 predictive_accuracy 0.79 predictive_accuracy 0.74 predictive_accuracy 0.79 predictive_accuracy 0.76 predictive_accuracy 0.77 predictive_accuracy 0.79 predictive_accuracy 0.77 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 relative_absolute_error 0.49980997624703005 relative_absolute_error 0.666413301662707 relative_absolute_error 0.5712114014251772 relative_absolute_error 0.49980997624703005 relative_absolute_error 0.6188123515439421 relative_absolute_error 0.49980997624703005 relative_absolute_error 0.5712114014251772 relative_absolute_error 0.5474109263657949 relative_absolute_error 0.49980997624703005 relative_absolute_error 0.5474109263657949 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_squared_error 0.458257569495584 root_mean_squared_error 0.5291502622129182 root_mean_squared_error 0.4898979485566356 root_mean_squared_error 0.458257569495584 root_mean_squared_error 0.5099019513592785 root_mean_squared_error 0.458257569495584 root_mean_squared_error 0.4898979485566356 root_mean_squared_error 0.47958315233127197 root_mean_squared_error 0.458257569495584 root_mean_squared_error 0.47958315233127197 root_relative_squared_error 0.9999996205670852 root_relative_squared_error 1.154700100247861 root_relative_squared_error 1.0690445620188496 root_relative_squared_error 0.9999996205670852 root_relative_squared_error 1.1126968583344015 root_relative_squared_error 0.9999996205670852 root_relative_squared_error 1.0690445620188496 root_relative_squared_error 1.0465358398542726 root_relative_squared_error 0.9999996205670852 root_relative_squared_error 1.0465358398542726 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 unweighted_recall 0.7261904761904762 [0.885714,0.566667] unweighted_recall 0.6 [0.9,0.3] unweighted_recall 0.6761904761904762 [0.885714,0.466667] unweighted_recall 0.7357142857142858 [0.871429,0.6] unweighted_recall 0.6523809523809524 [0.871429,0.433333] unweighted_recall 0.6880952380952381 [0.942857,0.433333] unweighted_recall 0.6761904761904762 [0.885714,0.466667] unweighted_recall 0.6738095238095239 [0.914286,0.433333] unweighted_recall 0.6976190476190476 [0.928571,0.466667] unweighted_recall 0.6738095238095239 [0.914286,0.433333] usercpu_time_millis 52.220890999933545 usercpu_time_millis 56.720319999840285 usercpu_time_millis 67.44145000016033 usercpu_time_millis 67.59484999997767 usercpu_time_millis 174.6189380000942 usercpu_time_millis 50.13874900009796 usercpu_time_millis 51.586479999969015 usercpu_time_millis 50.592177000226 usercpu_time_millis 54.34486000012839 usercpu_time_millis 57.117755000035686 usercpu_time_millis_testing 7.938516999956846 usercpu_time_millis_testing 7.20862399998623 usercpu_time_millis_testing 12.962792000053014 usercpu_time_millis_testing 7.954397999810681 usercpu_time_millis_testing 7.199738000053912 usercpu_time_millis_testing 7.952458000090701 usercpu_time_millis_testing 7.961221999948975 usercpu_time_millis_testing 7.863163000138229 usercpu_time_millis_testing 7.857335000153398 usercpu_time_millis_testing 13.321324999878925 usercpu_time_millis_training 44.2823739999767 usercpu_time_millis_training 49.511695999854055 usercpu_time_millis_training 54.478658000107316 usercpu_time_millis_training 59.64045200016699 usercpu_time_millis_training 167.4192000000403 usercpu_time_millis_training 42.18629100000726 usercpu_time_millis_training 43.62525800002004 usercpu_time_millis_training 42.72901400008777 usercpu_time_millis_training 46.487524999974994 usercpu_time_millis_training 43.79643000015676 wall_clock_time_millis 52.16503143310547 wall_clock_time_millis 56.982994079589844 wall_clock_time_millis 67.60191917419434 wall_clock_time_millis 67.657470703125 wall_clock_time_millis 174.75581169128418 wall_clock_time_millis 50.18162727355957 wall_clock_time_millis 51.63836479187012 wall_clock_time_millis 50.63271522521973 wall_clock_time_millis 54.39162254333496 wall_clock_time_millis 57.18040466308594 wall_clock_time_millis_testing 7.950067520141602 wall_clock_time_millis_testing 7.296562194824219 wall_clock_time_millis_testing 13.089418411254883 wall_clock_time_millis_testing 7.966279983520508 wall_clock_time_millis_testing 7.213115692138672 wall_clock_time_millis_testing 7.964849472045898 wall_clock_time_millis_testing 7.972240447998047 wall_clock_time_millis_testing 7.868051528930664 wall_clock_time_millis_testing 7.873296737670898 wall_clock_time_millis_testing 13.334512710571289 wall_clock_time_millis_training 44.21496391296387 wall_clock_time_millis_training 49.686431884765625 wall_clock_time_millis_training 54.51250076293945 wall_clock_time_millis_training 59.69119071960449 wall_clock_time_millis_training 167.5426959991455 wall_clock_time_millis_training 42.21677780151367 wall_clock_time_millis_training 43.66612434387207 wall_clock_time_millis_training 42.76466369628906 wall_clock_time_millis_training 46.51832580566406 wall_clock_time_millis_training 43.84589195251465 weighted_recall 0.79 [0.885714,0.566667] weighted_recall 0.72 [0.9,0.3] weighted_recall 0.76 [0.885714,0.466667] weighted_recall 0.79 [0.871429,0.6] weighted_recall 0.74 [0.871429,0.433333] weighted_recall 0.79 [0.942857,0.433333] weighted_recall 0.76 [0.885714,0.466667] weighted_recall 0.77 [0.914286,0.433333] weighted_recall 0.79 [0.928571,0.466667] weighted_recall 0.77 [0.914286,0.433333]