10560795 27568 Victorien Fandos 39 Supervised Classification predictive_accuracy 19007 sklearn.pipeline.Pipeline(StandardScaler=sklearn.preprocessing._data.StandardScaler,svc=sklearn.svm._classes.SVC)(4) 8277079 Python_3.8.2. Sklearn_0.24.2. NumPy_1.19.5. SciPy_1.6.2. C 10 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 0.01 19000 kernel "rbf" 19000 max_iter -1 19000 probability false 19000 random_state 8377 19000 shrinking true 19000 tol 0.001 19000 verbose false 19000 copy true 19003 with_mean true 19003 with_std true 19003 memory null 19007 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "StandardScaler", "step_name": "StandardScaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 19007 verbose false 19007 openml-python Sklearn_0.24.2. 40 sonar https://www.openml.org/data/download/40/dataset_40_sonar.arff -1 22047704 description https://api.openml.org/data/download/22047704/description.xml -1 22047705 predictions https://api.openml.org/data/download/22047705/predictions.arff area_under_roc_curve 0.8872945110058511 [0.887295,0.887295] average_cost 0 f_measure 0.8891782267332928 [0.878307,0.898678] kappa 0.7771151695862839 kb_relative_information_score 0.7774076546007936 mean_absolute_error 0.11057692307692307 mean_prior_absolute_error 0.4977564102564104 weighted_recall 0.8894230769230769 [0.85567,0.918919] number_of_instances 208 [97,111] precision 0.8899726819282667 [0.902174,0.87931] predictive_accuracy 0.889423076923077 prior_entropy 0.9967298867643506 relative_absolute_error 0.22215067611075331 root_mean_prior_squared_error 0.49886623594659213 root_mean_squared_error 0.3325310858805881 root_relative_squared_error 0.6665736462392864 total_cost 0 unweighted_recall 0.8872945110058512 [0.85567,0.918919] area_under_roc_curve 0.9166666666666666 [0.916667,0.916667] area_under_roc_curve 0.8590909090909091 [0.859091,0.859091] area_under_roc_curve 0.8500000000000001 [0.85,0.85] area_under_roc_curve 0.8500000000000001 [0.85,0.85] area_under_roc_curve 0.8090909090909092 [0.809091,0.809091] area_under_roc_curve 0.9045454545454544 [0.904545,0.904545] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9545454545454546 [0.954545,0.954545] area_under_roc_curve 0.7878787878787878 [0.787879,0.787879] area_under_roc_curve 0.9444444444444444 [0.944444,0.944444] 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 0.9051948051948051 [0.9,0.909091] f_measure 0.8571428571428571 [0.857143,0.857143] f_measure 0.853109243697479 [0.823529,0.88] f_measure 0.853109243697479 [0.823529,0.88] f_measure 0.8095238095238095 [0.8,0.818182] f_measure 0.9047619047619048 [0.9,0.909091] f_measure 1 [1,1] f_measure 0.9523809523809523 [0.952381,0.952381] f_measure 0.7958333333333333 [0.75,0.833333] f_measure 0.949616368286445 [0.941176,0.956522] kappa 0.8108108108108109 kappa 0.7149321266968326 kappa 0.7096774193548386 kappa 0.7096774193548386 kappa 0.6181818181818183 kappa 0.8090909090909091 kappa 1 kappa 0.9049773755656109 kappa 0.5876288659793816 kappa 0.8979591836734693 kb_relative_information_score 0.8068748488628052 kb_relative_information_score 0.7129734008881894 kb_relative_information_score 0.7129734008881894 kb_relative_information_score 0.7129734008881894 kb_relative_information_score 0.6172978678509192 kb_relative_information_score 0.8086489339254597 kb_relative_information_score 1 kb_relative_information_score 0.90432446696273 kb_relative_information_score 0.5961222064214833 kb_relative_information_score 0.8990305516053708 mean_absolute_error 0.09523809523809523 mean_absolute_error 0.14285714285714285 mean_absolute_error 0.14285714285714285 mean_absolute_error 0.14285714285714285 mean_absolute_error 0.19047619047619047 mean_absolute_error 0.09523809523809523 mean_absolute_error 0 mean_absolute_error 0.047619047619047616 mean_absolute_error 0.2 mean_absolute_error 0.05 mean_prior_absolute_error 0.49523809523809526 mean_prior_absolute_error 0.4984126984126984 mean_prior_absolute_error 0.4984126984126984 mean_prior_absolute_error 0.4984126984126984 mean_prior_absolute_error 0.4984126984126984 mean_prior_absolute_error 0.4984126984126984 mean_prior_absolute_error 0.4984126984126984 mean_prior_absolute_error 0.4984126984126984 mean_prior_absolute_error 0.4966666666666667 mean_prior_absolute_error 0.4966666666666667 number_of_instances 21 [9,12] number_of_instances 21 [10,11] number_of_instances 21 [10,11] number_of_instances 21 [10,11] number_of_instances 21 [10,11] number_of_instances 21 [10,11] number_of_instances 21 [10,11] number_of_instances 21 [10,11] number_of_instances 20 [9,11] number_of_instances 20 [9,11] precision 0.922077922077922 [0.818182,1] precision 0.861038961038961 [0.818182,0.9] precision 0.8877551020408163 [1,0.785714] precision 0.8877551020408163 [1,0.785714] precision 0.8095238095238095 [0.8,0.818182] precision 0.9047619047619048 [0.9,0.909091] precision 1 [1,1] precision 0.9567099567099566 [0.909091,1] precision 0.8087912087912088 [0.857143,0.769231] precision 0.9541666666666666 [1,0.916667] predictive_accuracy 0.9047619047619048 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.9047619047619048 predictive_accuracy 1 predictive_accuracy 0.9523809523809524 predictive_accuracy 0.8 predictive_accuracy 0.95 prior_entropy 0.9894527718695455 prior_entropy 0.9986263470096595 prior_entropy 0.9986263470096595 prior_entropy 0.9986263470096595 prior_entropy 0.9986263470096595 prior_entropy 0.9986263470096595 prior_entropy 0.9986263470096595 prior_entropy 0.9986263470096595 prior_entropy 0.9935808806825968 prior_entropy 0.9935808806825968 relative_absolute_error 0.1923076923076923 relative_absolute_error 0.28662420382165604 relative_absolute_error 0.28662420382165604 relative_absolute_error 0.28662420382165604 relative_absolute_error 0.3821656050955414 relative_absolute_error 0.1910828025477707 relative_absolute_error 0 relative_absolute_error 0.09554140127388536 relative_absolute_error 0.40268456375838924 relative_absolute_error 0.10067114093959731 root_mean_prior_squared_error 0.49633577983982413 root_mean_prior_squared_error 0.4995235825502231 root_mean_prior_squared_error 0.4995235825502231 root_mean_prior_squared_error 0.4995235825502231 root_mean_prior_squared_error 0.4995235825502231 root_mean_prior_squared_error 0.4995235825502231 root_mean_prior_squared_error 0.4995235825502231 root_mean_prior_squared_error 0.4995235825502231 root_mean_prior_squared_error 0.49777281743560264 root_mean_prior_squared_error 0.49777281743560264 root_mean_squared_error 0.3086066999241838 root_mean_squared_error 0.3779644730092272 root_mean_squared_error 0.3779644730092272 root_mean_squared_error 0.3779644730092272 root_mean_squared_error 0.4364357804719847 root_mean_squared_error 0.3086066999241838 root_mean_squared_error 0 root_mean_squared_error 0.21821789023599236 root_mean_squared_error 0.4472135954999579 root_mean_squared_error 0.22360679774997896 root_relative_squared_error 0.6217700042172587 root_relative_squared_error 0.7566499084579773 root_relative_squared_error 0.7566499084579773 root_relative_squared_error 0.7566499084579773 root_relative_squared_error 0.8737040566610378 root_relative_squared_error 0.6178020632152155 root_relative_squared_error 0 root_relative_squared_error 0.4368520283305189 root_relative_squared_error 0.8984291223532197 root_relative_squared_error 0.44921456117660985 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 0.9166666666666667 [1,0.833333] unweighted_recall 0.8590909090909091 [0.9,0.818182] unweighted_recall 0.85 [0.7,1] unweighted_recall 0.85 [0.7,1] unweighted_recall 0.8090909090909091 [0.8,0.818182] unweighted_recall 0.9045454545454545 [0.9,0.909091] unweighted_recall 1 [1,1] unweighted_recall 0.9545454545454546 [1,0.909091] unweighted_recall 0.7878787878787878 [0.666667,0.909091] unweighted_recall 0.9444444444444444 [0.888889,1] usercpu_time_millis 9.094964000041728 usercpu_time_millis 7.7533250000669796 usercpu_time_millis 7.788897999944311 usercpu_time_millis 7.744528000102946 usercpu_time_millis 7.711916000062047 usercpu_time_millis 7.832835000044724 usercpu_time_millis 7.63388900031714 usercpu_time_millis 7.854696000094918 usercpu_time_millis 8.099639000192838 usercpu_time_millis 8.045853999874453 usercpu_time_millis_testing 1.728402000026108 usercpu_time_millis_testing 1.7006489999857877 usercpu_time_millis_testing 1.710155999944618 usercpu_time_millis_testing 1.7007260000809765 usercpu_time_millis_testing 1.704453000002104 usercpu_time_millis_testing 1.7384550001224852 usercpu_time_millis_testing 1.699883000128466 usercpu_time_millis_testing 1.769529000057446 usercpu_time_millis_testing 1.800744000092891 usercpu_time_millis_testing 1.694810999879337 usercpu_time_millis_training 7.36656200001562 usercpu_time_millis_training 6.052676000081192 usercpu_time_millis_training 6.078741999999693 usercpu_time_millis_training 6.043802000021969 usercpu_time_millis_training 6.007463000059943 usercpu_time_millis_training 6.094379999922239 usercpu_time_millis_training 5.934006000188674 usercpu_time_millis_training 6.0851670000374725 usercpu_time_millis_training 6.298895000099947 usercpu_time_millis_training 6.351042999995116 wall_clock_time_millis 9.108543395996094 wall_clock_time_millis 7.766485214233398 wall_clock_time_millis 7.79271125793457 wall_clock_time_millis 7.757663726806641 wall_clock_time_millis 7.729053497314453 wall_clock_time_millis 7.836818695068359 wall_clock_time_millis 7.645130157470703 wall_clock_time_millis 7.869243621826172 wall_clock_time_millis 8.113622665405273 wall_clock_time_millis 8.049726486206055 wall_clock_time_millis_testing 1.7309188842773438 wall_clock_time_millis_testing 1.7032623291015625 wall_clock_time_millis_testing 1.712799072265625 wall_clock_time_millis_testing 1.7032623291015625 wall_clock_time_millis_testing 1.7070770263671875 wall_clock_time_millis_testing 1.7409324645996094 wall_clock_time_millis_testing 1.7025470733642578 wall_clock_time_millis_testing 1.7826557159423828 wall_clock_time_millis_testing 1.8036365509033203 wall_clock_time_millis_testing 1.697540283203125 wall_clock_time_millis_training 7.37762451171875 wall_clock_time_millis_training 6.063222885131836 wall_clock_time_millis_training 6.079912185668945 wall_clock_time_millis_training 6.054401397705078 wall_clock_time_millis_training 6.021976470947266 wall_clock_time_millis_training 6.09588623046875 wall_clock_time_millis_training 5.942583084106445 wall_clock_time_millis_training 6.086587905883789 wall_clock_time_millis_training 6.309986114501953 wall_clock_time_millis_training 6.35218620300293 weighted_recall 0.9047619047619048 [1,0.833333] weighted_recall 0.8571428571428571 [0.9,0.818182] weighted_recall 0.8571428571428571 [0.7,1] weighted_recall 0.8571428571428571 [0.7,1] weighted_recall 0.8095238095238095 [0.8,0.818182] weighted_recall 0.9047619047619048 [0.9,0.909091] weighted_recall 1 [1,1] weighted_recall 0.9523809523809523 [1,0.909091] weighted_recall 0.8 [0.666667,0.909091] weighted_recall 0.95 [0.888889,1]