10416172 1 Jan van Rijn 9981 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8253915 C 123.37837491865163 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.0005536818771968 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 38159 16360 shrinking true 16360 tol 0.06297302366537236 16360 verbose false 16360 openml-python Sklearn_0.21.2. 1468 cnae-9 https://www.openml.org/data/download/1586233/phpmcGu2X -1 21754154 description https://api.openml.org/data/download/21754154/description.xml -1 21754155 predictions https://api.openml.org/data/download/21754155/predictions.arff area_under_roc_curve 0.9640625 [0.989583,0.970833,0.970833,0.941146,0.983333,0.958854,0.945312,0.986458,0.930208] average_cost 0 f_measure 0.9365257700680597 [0.975207,0.942149,0.942149,0.90678,0.983051,0.906883,0.938596,0.979079,0.854839] kappa 0.928125 kb_relative_information_score 0.9326863236061566 mean_absolute_error 0.014197530864197509 mean_prior_absolute_error 0.197530864197526 number_of_instances 1080 [120,120,120,120,120,120,120,120,120] precision 0.938047572078348 [0.967213,0.934426,0.934426,0.922414,1,0.88189,0.990741,0.983193,0.828125] predictive_accuracy 0.9361111111111111 prior_entropy 3.1699250014422624 recall 0.9361111111111111 [0.983333,0.95,0.95,0.891667,0.966667,0.933333,0.891667,0.975,0.883333] relative_absolute_error 0.07187500000000166 root_mean_prior_squared_error 0.3142696805273506 root_mean_squared_error 0.11915339216404 root_relative_squared_error 0.3791437722025819 total_cost 0 area_under_roc_curve 0.96875 [1,1,0.911458,0.942708,1,0.953125,1,0.958333,0.953125] area_under_roc_curve 0.953125 [1,0.953125,0.947917,0.994792,0.875,0.989583,0.911458,1,0.90625] area_under_roc_curve 0.96875 [0.994792,0.911458,1,0.916667,1,0.994792,0.958333,0.994792,0.947917] area_under_roc_curve 0.9479166666666666 [0.994792,0.989583,0.947917,0.864583,1,0.869792,0.916667,1,0.947917] area_under_roc_curve 0.9739583333333334 [1,1,0.958333,0.994792,1,0.989583,0.958333,0.958333,0.90625] area_under_roc_curve 0.9739583333333334 [1,0.994792,0.994792,0.953125,1,0.994792,0.916667,1,0.911458] area_under_roc_curve 0.953125 [0.953125,0.953125,0.989583,0.875,1,0.989583,0.875,1,0.942708] area_under_roc_curve 0.953125 [0.953125,0.953125,1,0.953125,0.958333,0.901042,1,0.958333,0.901042] area_under_roc_curve 0.96875 [1,0.958333,1,0.958333,1,0.953125,0.916667,0.994792,0.9375] area_under_roc_curve 0.9791666666666666 [1,0.994792,0.958333,0.958333,1,0.953125,1,1,0.947917] 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 0.94506379288988 [1,1,0.869565,0.846154,1,0.916667,1,0.956522,0.916667] f_measure 0.9155316664012317 [1,0.916667,0.88,0.96,0.857143,0.923077,0.869565,1,0.833333] f_measure 0.9439086517347386 [0.96,0.869565,1,0.909091,1,0.96,0.956522,0.96,0.88] f_measure 0.9058842606668693 [0.96,0.923077,0.88,0.782609,1,0.818182,0.909091,1,0.88] f_measure 0.9539972748668402 [1,1,0.956522,0.96,1,0.923077,0.956522,0.956522,0.833333] f_measure 0.952813643683209 [1,0.96,0.96,0.916667,1,0.96,0.909091,1,0.869565] f_measure 0.9155474155474155 [0.916667,0.916667,0.923077,0.857143,1,0.923077,0.857143,1,0.846154] f_measure 0.9181159420289854 [0.916667,0.916667,1,0.916667,0.956522,0.8,1,0.956522,0.8] f_measure 0.945957318759251 [1,0.956522,1,0.956522,1,0.916667,0.909091,0.96,0.814815] f_measure 0.9633011272141708 [1,0.96,0.956522,0.956522,1,0.916667,1,1,0.88] kappa 0.9375 kappa 0.9062500000000001 kappa 0.9375 kappa 0.8958333333333334 kappa 0.9479166666666666 kappa 0.9479166666666666 kappa 0.9062500000000001 kappa 0.9062500000000001 kappa 0.9375 kappa 0.9583333333333334 kb_relative_information_score 0.9414663683531767 kb_relative_information_score 0.9121995525297651 kb_relative_information_score 0.9414663683531767 kb_relative_information_score 0.9024439472552944 kb_relative_information_score 0.9512219736276473 kb_relative_information_score 0.9512219736276473 kb_relative_information_score 0.9121995525297651 kb_relative_information_score 0.912199552529765 kb_relative_information_score 0.9414663683531767 kb_relative_information_score 0.9609775789021178 mean_absolute_error 0.01234567901234568 mean_absolute_error 0.01851851851851852 mean_absolute_error 0.01234567901234568 mean_absolute_error 0.020576131687242802 mean_absolute_error 0.0102880658436214 mean_absolute_error 0.0102880658436214 mean_absolute_error 0.01851851851851852 mean_absolute_error 0.01851851851851852 mean_absolute_error 0.01234567901234568 mean_absolute_error 0.008230452674897118 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] precision 0.9475709475709476 [1,1,0.909091,0.785714,1,0.916667,1,1,0.916667] precision 0.9206071706071705 [1,0.916667,0.846154,0.923077,1,0.857143,0.909091,1,0.833333] precision 0.9471639471639471 [0.923077,0.909091,1,1,1,0.923077,1,0.923077,0.846154] precision 0.9100788100788101 [0.923077,0.857143,0.846154,0.818182,1,0.9,1,1,0.846154] precision 0.9570614570614572 [1,1,1,0.923077,1,0.857143,1,1,0.833333] precision 0.954998704998705 [1,0.923077,0.923077,0.916667,1,0.923077,1,1,0.909091] precision 0.9259259259259259 [0.916667,0.916667,0.857143,1,1,0.857143,1,1,0.785714] precision 0.9209401709401709 [0.916667,0.916667,1,0.916667,1,0.769231,1,1,0.769231] precision 0.9525641025641026 [1,1,1,1,1,0.916667,1,0.923077,0.733333] precision 0.965099715099715 [1,0.923077,1,1,1,0.916667,1,1,0.846154] predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9074074074074074 predictive_accuracy 0.9537037037037037 predictive_accuracy 0.9537037037037037 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9629629629629629 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 recall 0.9444444444444444 [1,1,0.833333,0.916667,1,0.916667,1,0.916667,0.916667] recall 0.9166666666666666 [1,0.916667,0.916667,1,0.75,1,0.833333,1,0.833333] recall 0.9444444444444444 [1,0.833333,1,0.833333,1,1,0.916667,1,0.916667] recall 0.9074074074074074 [1,1,0.916667,0.75,1,0.75,0.833333,1,0.916667] recall 0.9537037037037037 [1,1,0.916667,1,1,1,0.916667,0.916667,0.833333] recall 0.9537037037037037 [1,1,1,0.916667,1,1,0.833333,1,0.833333] recall 0.9166666666666666 [0.916667,0.916667,1,0.75,1,1,0.75,1,0.916667] recall 0.9166666666666666 [0.916667,0.916667,1,0.916667,0.916667,0.833333,1,0.916667,0.833333] recall 0.9444444444444444 [1,0.916667,1,0.916667,1,0.916667,0.833333,1,0.916667] recall 0.9629629629629629 [1,1,0.916667,0.916667,1,0.916667,1,1,0.916667] relative_absolute_error 0.06249999999999983 relative_absolute_error 0.09374999999999975 relative_absolute_error 0.06249999999999983 relative_absolute_error 0.1041666666666664 relative_absolute_error 0.05208333333333319 relative_absolute_error 0.05208333333333319 relative_absolute_error 0.09374999999999975 relative_absolute_error 0.09374999999999975 relative_absolute_error 0.06249999999999983 relative_absolute_error 0.041666666666666546 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_squared_error 0.11111111111111112 root_mean_squared_error 0.13608276348795434 root_mean_squared_error 0.11111111111111112 root_mean_squared_error 0.14344382763731175 root_mean_squared_error 0.10143010324169743 root_mean_squared_error 0.10143010324169743 root_mean_squared_error 0.13608276348795434 root_mean_squared_error 0.13608276348795434 root_mean_squared_error 0.11111111111111112 root_mean_squared_error 0.09072184232530289 root_relative_squared_error 0.35355339059327334 root_relative_squared_error 0.43301270189221874 root_relative_squared_error 0.35355339059327334 root_relative_squared_error 0.45643546458763784 root_relative_squared_error 0.322748612183951 root_relative_squared_error 0.322748612183951 root_relative_squared_error 0.43301270189221874 root_relative_squared_error 0.43301270189221874 root_relative_squared_error 0.35355339059327334 root_relative_squared_error 0.28867513459481253 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 765.4226880003989 usercpu_time_millis 746.2791440002547 usercpu_time_millis 761.6954620007164 usercpu_time_millis 743.4934889997749 usercpu_time_millis 746.6219679999995 usercpu_time_millis 749.9941139994917 usercpu_time_millis 747.5302009997904 usercpu_time_millis 757.1002579998094 usercpu_time_millis 767.1260930001154 usercpu_time_millis 762.9704029995992 usercpu_time_millis_testing 68.04163200013136 usercpu_time_millis_testing 67.98400600018795 usercpu_time_millis_testing 69.23872500010475 usercpu_time_millis_testing 66.50352599990583 usercpu_time_millis_testing 68.97829599984107 usercpu_time_millis_testing 67.7353419996507 usercpu_time_millis_testing 68.41547800013359 usercpu_time_millis_testing 69.11863899949822 usercpu_time_millis_testing 68.4206340001765 usercpu_time_millis_testing 69.37328200001502 usercpu_time_millis_training 697.3810560002676 usercpu_time_millis_training 678.2951380000668 usercpu_time_millis_training 692.4567370006116 usercpu_time_millis_training 676.989962999869 usercpu_time_millis_training 677.6436720001584 usercpu_time_millis_training 682.258771999841 usercpu_time_millis_training 679.1147229996568 usercpu_time_millis_training 687.9816190003112 usercpu_time_millis_training 698.7054589999389 usercpu_time_millis_training 693.5971209995841 wall_clock_time_millis 765.4523849487305 wall_clock_time_millis 746.2887763977051 wall_clock_time_millis 761.7156505584717 wall_clock_time_millis 743.5038089752197 wall_clock_time_millis 746.657133102417 wall_clock_time_millis 750.0040531158447 wall_clock_time_millis 747.6050853729248 wall_clock_time_millis 757.1101188659668 wall_clock_time_millis 767.1492099761963 wall_clock_time_millis 762.9811763763428 wall_clock_time_millis_testing 68.04561614990234 wall_clock_time_millis_testing 67.98672676086426 wall_clock_time_millis_testing 69.25082206726074 wall_clock_time_millis_testing 66.50638580322266 wall_clock_time_millis_testing 68.98117065429688 wall_clock_time_millis_testing 67.73829460144043 wall_clock_time_millis_testing 68.41826438903809 wall_clock_time_millis_testing 69.1218376159668 wall_clock_time_millis_testing 68.42374801635742 wall_clock_time_millis_testing 69.37623023986816 wall_clock_time_millis_training 697.4067687988281 wall_clock_time_millis_training 678.3020496368408 wall_clock_time_millis_training 692.4648284912109 wall_clock_time_millis_training 676.9974231719971 wall_clock_time_millis_training 677.6759624481201 wall_clock_time_millis_training 682.2657585144043 wall_clock_time_millis_training 679.1868209838867 wall_clock_time_millis_training 687.98828125 wall_clock_time_millis_training 698.7254619598389 wall_clock_time_millis_training 693.6049461364746