10438210 10792 George Volkov 14 Supervised Classification 17487 sklearn.linear_model._logistic.LogisticRegression(1) 8261110 C 10 17487 class_weight null 17487 dual false 17487 fit_intercept true 17487 intercept_scaling 1 17487 l1_ratio null 17487 max_iter 10000 17487 multi_class "auto" 17487 n_jobs null 17487 penalty "l2" 17487 random_state 23446 17487 solver "lbfgs" 17487 tol 0.0001 17487 verbose 0 17487 warm_start false 17487 openml-python Sklearn_0.22.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21800837 description https://api.openml.org/data/download/21800837/description.xml -1 21800838 predictions https://api.openml.org/data/download/21800838/predictions.arff area_under_roc_curve 0.9813644444444444 [0.999997,0.966472,0.99685,0.991581,0.971811,0.994603,0.953339,0.992575,0.998283,0.948133] average_cost 0 f_measure 0.833160222141324 [0.995,0.764103,0.949749,0.895141,0.787879,0.925,0.596059,0.876457,0.97733,0.564885] kappa 0.8150000000000001 kb_relative_information_score 0.8225771480482629 mean_absolute_error 0.05082506666912695 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.8335 [0.995,0.745,0.945,0.875,0.78,0.925,0.605,0.94,0.97,0.555] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8339145161449802 [0.995,0.784211,0.954545,0.91623,0.795918,0.925,0.587379,0.820961,0.984772,0.57513] predictive_accuracy 0.8334999999999999 prior_entropy 3.3219280948872383 relative_absolute_error 0.28236148149514106 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.15139251787388908 root_relative_squared_error 0.5046417262462892 total_cost 0 unweighted_recall 0.8334999999999999 [0.995,0.745,0.945,0.875,0.78,0.925,0.605,0.94,0.97,0.555] area_under_roc_curve 0.9832222222222222 [1,0.979722,0.999444,0.996667,0.968889,1,0.9425,0.992222,1,0.952778] area_under_roc_curve 0.980777777777778 [1,0.963333,0.999444,0.992222,0.947778,0.990833,0.961111,0.991111,0.998889,0.963056] area_under_roc_curve 0.9761388888888889 [1,0.970278,1,0.966667,0.984722,0.9925,0.905833,0.989444,1,0.951944] area_under_roc_curve 0.9907222222222223 [1,0.977222,0.996944,1,0.991111,0.997778,0.983889,0.995,0.996389,0.968889] area_under_roc_curve 0.9794444444444445 [1,0.953889,0.998056,0.981944,0.976944,0.995833,0.960833,0.9925,1,0.934444] area_under_roc_curve 0.9838055555555555 [1,0.97,0.999444,0.9925,0.969444,0.997778,0.9675,0.993056,1,0.948333] area_under_roc_curve 0.9841111111111112 [1,0.978056,0.991944,0.998056,0.976111,0.993889,0.961944,0.991667,1,0.949444] area_under_roc_curve 0.9835277777777779 [1,0.952778,0.996111,0.996944,0.973611,0.996111,0.958056,0.995278,0.998333,0.968056] area_under_roc_curve 0.9794444444444443 [1,0.951667,1,0.997778,0.990278,0.984722,0.949444,0.995833,1,0.924722] area_under_roc_curve 0.9767777777777777 [1,0.982222,0.988611,0.996667,0.947778,0.999722,0.944722,0.991111,0.986944,0.93] 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 0.8338193167518182 [0.974359,0.790698,0.95,0.888889,0.837209,1,0.571429,0.85,0.97561,0.5] f_measure 0.8091854473005022 [1,0.789474,0.95,0.85,0.702703,0.857143,0.526316,0.837209,0.974359,0.604651] f_measure 0.8119914232109353 [1,0.769231,0.974359,0.8,0.8,0.878049,0.536585,0.871795,0.97561,0.514286] f_measure 0.8803621511973914 [1,0.736842,0.974359,1,0.869565,0.947368,0.736842,0.85,0.974359,0.714286] f_measure 0.8025295165421861 [0.97561,0.648649,0.947368,0.829268,0.684211,0.9,0.65,0.826087,1,0.564103] f_measure 0.8420352269311876 [1,0.842105,0.952381,0.864865,0.810811,0.909091,0.622222,0.930233,0.974359,0.514286] f_measure 0.834103076541744 [1,0.736842,0.918919,0.9,0.820513,0.95,0.604651,0.869565,1,0.540541] f_measure 0.8537987840285062 [1,0.780488,0.95,0.95,0.777778,0.923077,0.681818,0.930233,0.95,0.594595] f_measure 0.8367614102273921 [1,0.722222,0.97561,0.97561,0.8,0.947368,0.486486,0.888889,1,0.571429] f_measure 0.8186813584573943 [1,0.809524,0.904762,0.888889,0.742857,0.947368,0.526316,0.909091,0.947368,0.510638] kappa 0.8166666666666667 kappa 0.788888888888889 kappa 0.7944444444444444 kappa 0.8666666666666667 kappa 0.7833333333333334 kappa 0.8277777777777777 kappa 0.8166666666666667 kappa 0.8388888888888889 kappa 0.8222222222222222 kappa 0.7944444444444444 kb_relative_information_score 0.8281283717906315 kb_relative_information_score 0.8139284887121364 kb_relative_information_score 0.806161616950315 kb_relative_information_score 0.8452303359197572 kb_relative_information_score 0.8038043411331818 kb_relative_information_score 0.8277007707590667 kb_relative_information_score 0.8254048445010366 kb_relative_information_score 0.8344020488708153 kb_relative_information_score 0.8363616174138784 kb_relative_information_score 0.8046490444315146 mean_absolute_error 0.04998146915868726 mean_absolute_error 0.052914049339058626 mean_absolute_error 0.053956238958990606 mean_absolute_error 0.04724545617217703 mean_absolute_error 0.05292740999203642 mean_absolute_error 0.049540998716109 mean_absolute_error 0.050225789367874585 mean_absolute_error 0.04924511750054692 mean_absolute_error 0.04841003367259839 mean_absolute_error 0.05380410381319042 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.838207462827028 [1,0.73913,0.95,1,0.782609,1,0.545455,0.85,0.952381,0.5625] precision 0.8119602676380171 [1,0.833333,0.95,0.85,0.764706,0.818182,0.555556,0.782609,1,0.565217] precision 0.8137543859649122 [1,0.789474,1,0.8,0.72,0.857143,0.52381,0.894737,0.952381,0.6] precision 0.8856604506604506 [1,0.777778,1,1,0.769231,1,0.777778,0.85,1,0.681818] precision 0.8049725936258444 [0.952381,0.705882,1,0.809524,0.722222,0.9,0.65,0.730769,1,0.578947] precision 0.8484407760469143 [1,0.888889,0.909091,0.941176,0.882353,0.833333,0.56,0.869565,1,0.6] precision 0.8392566495588437 [1,0.777778,1,0.9,0.842105,0.95,0.565217,0.769231,1,0.588235] precision 0.857589722387811 [1,0.761905,0.95,0.95,0.875,0.947368,0.625,0.869565,0.95,0.647059] precision 0.8392128214922333 [1,0.8125,0.952381,0.952381,0.8,1,0.529412,0.8,1,0.545455] precision 0.8336363636363636 [1,0.772727,0.863636,1,0.866667,1,0.555556,0.833333,1,0.444444] predictive_accuracy 0.835 predictive_accuracy 0.81 predictive_accuracy 0.815 predictive_accuracy 0.88 predictive_accuracy 0.805 predictive_accuracy 0.845 predictive_accuracy 0.835 predictive_accuracy 0.855 predictive_accuracy 0.84 predictive_accuracy 0.815 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 relative_absolute_error 0.277674828659374 relative_absolute_error 0.29396694077254826 relative_absolute_error 0.2997568831055037 relative_absolute_error 0.2624747565120949 relative_absolute_error 0.29404116662242485 relative_absolute_error 0.27522777064505033 relative_absolute_error 0.2790321631548591 relative_absolute_error 0.27358398611414986 relative_absolute_error 0.2689446315144358 relative_absolute_error 0.2989116878510582 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.14753412392303186 root_mean_squared_error 0.15726099095117427 root_mean_squared_error 0.15736911739817666 root_mean_squared_error 0.138312642567878 root_mean_squared_error 0.16302280086716042 root_mean_squared_error 0.14773882223860224 root_mean_squared_error 0.151194969664758 root_mean_squared_error 0.1460370910803434 root_mean_squared_error 0.14409016141186465 root_mean_squared_error 0.15953765336944659 root_relative_squared_error 0.49178041307677317 root_relative_squared_error 0.5242033031705812 root_relative_squared_error 0.5245637246605892 root_relative_squared_error 0.46104214189292697 root_relative_squared_error 0.5434093362238684 root_relative_squared_error 0.492462740795341 root_relative_squared_error 0.5039832322158603 root_relative_squared_error 0.48679030360114495 root_relative_squared_error 0.48030053803954914 root_relative_squared_error 0.5317921778981556 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 0.835 [0.95,0.85,0.95,0.8,0.9,1,0.6,0.85,1,0.45] unweighted_recall 0.8100000000000002 [1,0.75,0.95,0.85,0.65,0.9,0.5,0.9,0.95,0.65] unweighted_recall 0.8150000000000001 [1,0.75,0.95,0.8,0.9,0.9,0.55,0.85,1,0.45] unweighted_recall 0.8800000000000001 [1,0.7,0.95,1,1,0.9,0.7,0.85,0.95,0.75] unweighted_recall 0.805 [1,0.6,0.9,0.85,0.65,0.9,0.65,0.95,1,0.55] unweighted_recall 0.845 [1,0.8,1,0.8,0.75,1,0.7,1,0.95,0.45] unweighted_recall 0.8350000000000002 [1,0.7,0.85,0.9,0.8,0.95,0.65,1,1,0.5] unweighted_recall 0.8550000000000001 [1,0.8,0.95,0.95,0.7,0.9,0.75,1,0.95,0.55] unweighted_recall 0.8400000000000001 [1,0.65,1,1,0.8,0.9,0.45,1,1,0.6] unweighted_recall 0.8150000000000001 [1,0.85,0.95,0.8,0.65,0.9,0.5,1,0.9,0.6] usercpu_time_millis 2625 usercpu_time_millis 2500 usercpu_time_millis 2250 usercpu_time_millis 2750 usercpu_time_millis 2250 usercpu_time_millis 2625 usercpu_time_millis 2750 usercpu_time_millis 2625 usercpu_time_millis 2500 usercpu_time_millis 2375 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 2625 usercpu_time_millis_training 2500 usercpu_time_millis_training 2250 usercpu_time_millis_training 2750 usercpu_time_millis_training 2250 usercpu_time_millis_training 2625 usercpu_time_millis_training 2750 usercpu_time_millis_training 2625 usercpu_time_millis_training 2500 usercpu_time_millis_training 2375 wall_clock_time_millis 333.0652713775635 wall_clock_time_millis 312.0710849761963 wall_clock_time_millis 287.0655059814453 wall_clock_time_millis 341.0773277282715 wall_clock_time_millis 284.06453132629395 wall_clock_time_millis 325.0734806060791 wall_clock_time_millis 349.0791320800781 wall_clock_time_millis 332.0760726928711 wall_clock_time_millis 316.0719871520996 wall_clock_time_millis 298.067569732666 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 1.0001659393310547 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0.9999275207519531 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_training 333.0652713775635 wall_clock_time_millis_training 312.0710849761963 wall_clock_time_millis_training 287.0655059814453 wall_clock_time_millis_training 341.0773277282715 wall_clock_time_millis_training 283.0643653869629 wall_clock_time_millis_training 325.0734806060791 wall_clock_time_millis_training 348.0792045593262 wall_clock_time_millis_training 332.0760726928711 wall_clock_time_millis_training 316.0719871520996 wall_clock_time_millis_training 298.067569732666 weighted_recall 0.835 [0.95,0.85,0.95,0.8,0.9,1,0.6,0.85,1,0.45] weighted_recall 0.81 [1,0.75,0.95,0.85,0.65,0.9,0.5,0.9,0.95,0.65] weighted_recall 0.815 [1,0.75,0.95,0.8,0.9,0.9,0.55,0.85,1,0.45] weighted_recall 0.88 [1,0.7,0.95,1,1,0.9,0.7,0.85,0.95,0.75] weighted_recall 0.805 [1,0.6,0.9,0.85,0.65,0.9,0.65,0.95,1,0.55] weighted_recall 0.845 [1,0.8,1,0.8,0.75,1,0.7,1,0.95,0.45] weighted_recall 0.835 [1,0.7,0.85,0.9,0.8,0.95,0.65,1,1,0.5] weighted_recall 0.855 [1,0.8,0.95,0.95,0.7,0.9,0.75,1,0.95,0.55] weighted_recall 0.84 [1,0.65,1,1,0.8,0.9,0.45,1,1,0.6] weighted_recall 0.815 [1,0.85,0.95,0.8,0.65,0.9,0.5,1,0.9,0.6]