10438174 10792 George Volkov 14 Supervised Classification 17487 sklearn.linear_model._logistic.LogisticRegression(1) 8261074 C 100 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 8505 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 21800765 description https://api.openml.org/data/download/21800765/description.xml -1 21800766 predictions https://api.openml.org/data/download/21800766/predictions.arff area_under_roc_curve 0.9800511111111111 [0.999997,0.964836,0.995272,0.986433,0.966194,0.992617,0.955917,0.993278,0.997958,0.948008] average_cost 0 f_measure 0.833810361516838 [0.997506,0.762626,0.937028,0.884422,0.788177,0.926209,0.617284,0.866828,0.977215,0.580808] kappa 0.8150000000000001 kb_relative_information_score 0.8387679374456495 mean_absolute_error 0.042238485333632336 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.8335 [1,0.755,0.93,0.88,0.8,0.91,0.625,0.895,0.965,0.575] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8344798542834249 [0.995025,0.770408,0.944162,0.888889,0.776699,0.943005,0.609756,0.840376,0.989744,0.586735] predictive_accuracy 0.8334999999999999 prior_entropy 3.3219280948872383 relative_absolute_error 0.23465825185350575 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1540720035405804 root_relative_squared_error 0.5135733451352601 total_cost 0 unweighted_recall 0.8334999999999999 [1,0.755,0.93,0.88,0.8,0.91,0.625,0.895,0.965,0.575] area_under_roc_curve 0.9831666666666667 [1,0.981667,0.999167,0.990556,0.978333,1,0.946944,0.993611,1,0.941389] area_under_roc_curve 0.9796111111111112 [1,0.947778,0.999444,0.99,0.956389,0.983333,0.959167,0.993611,1,0.966389] area_under_roc_curve 0.9749444444444444 [1,0.973611,0.998611,0.955,0.979167,0.991944,0.911944,0.993889,1,0.945278] area_under_roc_curve 0.992861111111111 [1,0.982778,0.993333,0.999444,0.99,0.996111,0.993889,0.996389,0.996944,0.979722] area_under_roc_curve 0.9762222222222223 [1,0.956667,0.9975,0.963611,0.968333,0.991667,0.959722,0.995,1,0.929722] area_under_roc_curve 0.9822222222222224 [1,0.970556,0.998333,0.985833,0.951111,0.998333,0.968611,0.993333,1,0.956111] area_under_roc_curve 0.9835277777777778 [1,0.973889,0.986667,0.998056,0.980556,0.995833,0.958611,0.994167,1,0.9475] area_under_roc_curve 0.98 [1,0.941944,0.996111,0.996944,0.959722,0.989444,0.961944,0.992222,0.998333,0.963333] area_under_roc_curve 0.9786944444444445 [1,0.947778,0.999722,0.9975,0.982222,0.986111,0.9525,0.994167,1,0.926944] area_under_roc_curve 0.9751666666666665 [1,0.974444,0.984167,0.994167,0.934444,0.998333,0.953056,0.989722,0.985,0.938333] 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 0.8220974522291057 [1,0.837209,0.926829,0.864865,0.857143,1,0.545455,0.789474,1,0.4] f_measure 0.8259673235184475 [1,0.789474,0.947368,0.878049,0.769231,0.9,0.512821,0.883721,0.974359,0.604651] f_measure 0.8022342441044722 [1,0.744186,0.923077,0.810811,0.782609,0.9,0.604651,0.810811,0.97561,0.470588] f_measure 0.8898104298104298 [1,0.756757,0.974359,0.952381,0.844444,0.923077,0.8,0.9,0.974359,0.772727] f_measure 0.7956658531883178 [0.97561,0.714286,0.947368,0.761905,0.7,0.842105,0.615385,0.85,1,0.55] f_measure 0.8517080070917727 [1,0.722222,0.926829,0.829268,0.842105,0.930233,0.711111,0.952381,0.974359,0.628571] f_measure 0.8293652329852587 [1,0.789474,0.918919,0.926829,0.8,0.923077,0.590909,0.844444,1,0.5] f_measure 0.8551539517890236 [1,0.769231,0.95,0.97561,0.789474,0.947368,0.697674,0.883721,0.923077,0.615385] f_measure 0.8380894731578376 [1,0.702703,0.97561,0.95,0.761905,0.947368,0.540541,0.883721,1,0.619048] f_measure 0.8176298303899283 [1,0.790698,0.883721,0.888889,0.722222,0.947368,0.555556,0.857143,0.947368,0.583333] kappa 0.8055555555555555 kappa 0.8055555555555555 kappa 0.7833333333333334 kappa 0.8777777777777778 kappa 0.7722222222222223 kappa 0.8388888888888889 kappa 0.8111111111111111 kappa 0.8388888888888889 kappa 0.8222222222222222 kappa 0.7944444444444444 kb_relative_information_score 0.8486629042743122 kb_relative_information_score 0.8407451398959589 kb_relative_information_score 0.811197951315425 kb_relative_information_score 0.8794517086772431 kb_relative_information_score 0.8023752746849447 kb_relative_information_score 0.8406581180809032 kb_relative_information_score 0.8352826263096964 kb_relative_information_score 0.8531465157757375 kb_relative_information_score 0.853888230950092 kb_relative_information_score 0.8222709044918752 mean_absolute_error 0.04100141585213511 mean_absolute_error 0.04281050379510667 mean_absolute_error 0.046630085724612476 mean_absolute_error 0.03565971704422912 mean_absolute_error 0.04788037668394691 mean_absolute_error 0.04172270989708851 mean_absolute_error 0.04241201130822981 mean_absolute_error 0.0403190897540335 mean_absolute_error 0.03940465098858081 mean_absolute_error 0.04454429228835962 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 0.8246728889184132 [1,0.782609,0.904762,0.941176,0.818182,1,0.5,0.833333,1,0.466667] precision 0.8297570011986489 [1,0.833333,1,0.857143,0.789474,0.9,0.526316,0.826087,1,0.565217] precision 0.8089061084740179 [1,0.695652,0.947368,0.882353,0.692308,0.9,0.565217,0.882353,0.952381,0.571429] precision 0.8981655408574913 [1,0.823529,1,0.909091,0.76,0.947368,0.933333,0.9,1,0.708333] precision 0.7981939697729171 [0.952381,0.681818,1,0.727273,0.7,0.888889,0.631579,0.85,1,0.55] precision 0.8567664062990148 [1,0.8125,0.904762,0.809524,0.888889,0.869565,0.64,0.909091,1,0.733333] precision 0.8349630325814537 [1,0.833333,1,0.904762,0.8,0.947368,0.541667,0.76,1,0.5625] precision 0.8582396207911082 [1,0.789474,0.95,0.952381,0.833333,1,0.652174,0.826087,0.947368,0.631579] precision 0.8399590903555098 [1,0.764706,0.952381,0.95,0.727273,1,0.588235,0.826087,1,0.590909] precision 0.8320899209486166 [1,0.73913,0.826087,1,0.8125,1,0.625,0.818182,1,0.5] predictive_accuracy 0.825 predictive_accuracy 0.825 predictive_accuracy 0.805 predictive_accuracy 0.89 predictive_accuracy 0.795 predictive_accuracy 0.855 predictive_accuracy 0.83 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 0.2277856436229731 relative_absolute_error 0.23783613219503733 relative_absolute_error 0.2590560318034029 relative_absolute_error 0.19810953913460647 relative_absolute_error 0.2660020926885942 relative_absolute_error 0.2317928327616031 relative_absolute_error 0.23562228504572144 relative_absolute_error 0.22399494307796414 relative_absolute_error 0.21891472771433804 relative_absolute_error 0.24746829049088706 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 0.14886222011781267 root_mean_squared_error 0.15391774888863635 root_mean_squared_error 0.16528800337546543 root_mean_squared_error 0.12923170410078466 root_mean_squared_error 0.17253991397566676 root_mean_squared_error 0.1527817242649809 root_mean_squared_error 0.15658956021104928 root_mean_squared_error 0.1481459296675037 root_mean_squared_error 0.14597709030671904 root_mean_squared_error 0.1631598492933551 root_relative_squared_error 0.4962074003927091 root_relative_squared_error 0.5130591629621215 root_relative_squared_error 0.5509600112515518 root_relative_squared_error 0.4307723470026158 root_relative_squared_error 0.5751330465855562 root_relative_squared_error 0.5092724142166033 root_relative_squared_error 0.521965200703498 root_relative_squared_error 0.493819765558346 root_relative_squared_error 0.4865903010223971 root_relative_squared_error 0.543866164311184 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 0.825 [1,0.9,0.95,0.8,0.9,1,0.6,0.75,1,0.35] unweighted_recall 0.825 [1,0.75,0.9,0.9,0.75,0.9,0.5,0.95,0.95,0.65] unweighted_recall 0.805 [1,0.8,0.9,0.75,0.9,0.9,0.65,0.75,1,0.4] unweighted_recall 0.89 [1,0.7,0.95,1,0.95,0.9,0.7,0.9,0.95,0.85] unweighted_recall 0.7949999999999999 [1,0.75,0.9,0.8,0.7,0.8,0.6,0.85,1,0.55] unweighted_recall 0.8550000000000001 [1,0.65,0.95,0.85,0.8,1,0.8,1,0.95,0.55] unweighted_recall 0.8300000000000001 [1,0.75,0.85,0.95,0.8,0.9,0.65,0.95,1,0.45] unweighted_recall 0.8550000000000001 [1,0.75,0.95,1,0.75,0.9,0.75,0.95,0.9,0.6] unweighted_recall 0.8400000000000001 [1,0.65,1,0.95,0.8,0.9,0.5,0.95,1,0.65] unweighted_recall 0.8150000000000001 [1,0.85,0.95,0.8,0.65,0.9,0.5,0.9,0.9,0.7] usercpu_time_millis 5125 usercpu_time_millis 5500 usercpu_time_millis 5625 usercpu_time_millis 5500 usercpu_time_millis 5250 usercpu_time_millis 5375 usercpu_time_millis 5625 usercpu_time_millis 5375 usercpu_time_millis 5375 usercpu_time_millis 5500 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 5125 usercpu_time_millis_training 5500 usercpu_time_millis_training 5625 usercpu_time_millis_training 5500 usercpu_time_millis_training 5250 usercpu_time_millis_training 5375 usercpu_time_millis_training 5625 usercpu_time_millis_training 5375 usercpu_time_millis_training 5375 usercpu_time_millis_training 5500 wall_clock_time_millis 641.1359310150146 wall_clock_time_millis 696.1581707000732 wall_clock_time_millis 694.1568851470947 wall_clock_time_millis 681.1561584472656 wall_clock_time_millis 664.1504764556885 wall_clock_time_millis 663.1503105163574 wall_clock_time_millis 709.160327911377 wall_clock_time_millis 671.151876449585 wall_clock_time_millis 667.1512126922607 wall_clock_time_millis 700.1585960388184 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 0 wall_clock_time_millis_testing 1.0001659393310547 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 0 wall_clock_time_millis_testing 1.0004043579101562 wall_clock_time_millis_testing 0 wall_clock_time_millis_training 641.1359310150146 wall_clock_time_millis_training 696.1581707000732 wall_clock_time_millis_training 694.1568851470947 wall_clock_time_millis_training 681.1561584472656 wall_clock_time_millis_training 664.1504764556885 wall_clock_time_millis_training 662.1501445770264 wall_clock_time_millis_training 709.160327911377 wall_clock_time_millis_training 671.151876449585 wall_clock_time_millis_training 666.1508083343506 wall_clock_time_millis_training 700.1585960388184 weighted_recall 0.825 [1,0.9,0.95,0.8,0.9,1,0.6,0.75,1,0.35] weighted_recall 0.825 [1,0.75,0.9,0.9,0.75,0.9,0.5,0.95,0.95,0.65] weighted_recall 0.805 [1,0.8,0.9,0.75,0.9,0.9,0.65,0.75,1,0.4] weighted_recall 0.89 [1,0.7,0.95,1,0.95,0.9,0.7,0.9,0.95,0.85] weighted_recall 0.795 [1,0.75,0.9,0.8,0.7,0.8,0.6,0.85,1,0.55] weighted_recall 0.855 [1,0.65,0.95,0.85,0.8,1,0.8,1,0.95,0.55] weighted_recall 0.83 [1,0.75,0.85,0.95,0.8,0.9,0.65,0.95,1,0.45] weighted_recall 0.855 [1,0.75,0.95,1,0.75,0.9,0.75,0.95,0.9,0.6] weighted_recall 0.84 [1,0.65,1,0.95,0.8,0.9,0.5,0.95,1,0.65] weighted_recall 0.815 [1,0.85,0.95,0.8,0.65,0.9,0.5,0.9,0.9,0.7]