Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77408 runs submitted
0 likes downloaded by 2 people , 3 total downloads 0 issues
Visibility: Public
  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

77408 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.7468, kappa: 0.4806, kb_relative_information_score: 13170.3907, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7654, predictive_accuracy: 0.7563, prior_entropy: 0.9835, recall: 0.7563, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8626, scimark_benchmark: 931.7994, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9277, kappa: 0.8519, kb_relative_information_score: 34359.2661, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9277, predictive_accuracy: 0.9277, prior_entropy: 0.9835, recall: 0.9277, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.4829, scimark_benchmark: 943.4741, usercpu_time_millis: 741530, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 741400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9081, kappa: 0.812, kb_relative_information_score: 35221.9296, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9081, predictive_accuracy: 0.9081, prior_entropy: 0.9835, recall: 0.9081, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5752, scimark_benchmark: 926.5859, usercpu_time_millis: 5120, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 4690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 5542.8854, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3182, scimark_benchmark: 938.3115, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7488, kappa: 0.4845, kb_relative_information_score: 22220.7891, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7658, predictive_accuracy: 0.7577, prior_entropy: 0.9835, recall: 0.7577, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9718, scimark_benchmark: 935.6052, usercpu_time_millis: 1480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7514, kappa: 0.4901, kb_relative_information_score: 22275.1644, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7712, predictive_accuracy: 0.7609, prior_entropy: 0.9835, recall: 0.7609, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9451, scimark_benchmark: 935.6052, usercpu_time_millis: 2790, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7498, kappa: 0.4865, kb_relative_information_score: 22459.3575, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7676, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9502, scimark_benchmark: 938.3115, usercpu_time_millis: 5990, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 5890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7522, kappa: 0.4919, kb_relative_information_score: 22845.7253, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7725, predictive_accuracy: 0.7619, prior_entropy: 0.9835, recall: 0.7619, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9089, scimark_benchmark: 938.3115, usercpu_time_millis: 12280, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 12120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7538, kappa: 0.4949, kb_relative_information_score: 23388.1535, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7725, predictive_accuracy: 0.7629, prior_entropy: 0.9835, recall: 0.7629, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9084, scimark_benchmark: 936.1714, usercpu_time_millis: 20550, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 20260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7899, kappa: 0.5679, kb_relative_information_score: 19844.483, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7911, predictive_accuracy: 0.7917, prior_entropy: 0.9835, recall: 0.7917, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.775, scimark_benchmark: 936.1714, usercpu_time_millis: 980, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.7492, kappa: 0.4863, kb_relative_information_score: 14924.2464, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7721, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8434, scimark_benchmark: 929.0296, usercpu_time_millis: 430, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.7492, kappa: 0.4863, kb_relative_information_score: 14924.2464, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7721, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8434, scimark_benchmark: 929.0296, usercpu_time_millis: 400, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.7492, kappa: 0.4863, kb_relative_information_score: 14924.2464, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7721, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8434, scimark_benchmark: 894.7131, usercpu_time_millis: 370, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.7492, kappa: 0.4863, kb_relative_information_score: 14924.2464, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7721, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8434, scimark_benchmark: 929.0296, usercpu_time_millis: 510, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.7492, kappa: 0.4863, kb_relative_information_score: 14924.2464, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7721, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8434, scimark_benchmark: 926.5859, usercpu_time_millis: 530, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8843, kappa: 0.7626, kb_relative_information_score: 28056.9577, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8848, predictive_accuracy: 0.8848, prior_entropy: 0.9835, recall: 0.8848, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5938, scimark_benchmark: 926.5859, usercpu_time_millis: 137240, usercpu_time_millis_testing: 3260, usercpu_time_millis_training: 133980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8893, kappa: 0.7728, kb_relative_information_score: 28141.329, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8898, predictive_accuracy: 0.8897, prior_entropy: 0.9835, recall: 0.8897, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.5843, scimark_benchmark: 930.5033, usercpu_time_millis: 229050, usercpu_time_millis_testing: 5780, usercpu_time_millis_training: 223270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8862, kappa: 0.7663, kb_relative_information_score: 27684.2801, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8869, predictive_accuracy: 0.8867, prior_entropy: 0.9835, recall: 0.8867, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.5897, scimark_benchmark: 899.0468, usercpu_time_millis: 379180, usercpu_time_millis_testing: 13440, usercpu_time_millis_training: 365740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8873, kappa: 0.7685, kb_relative_information_score: 27630.7097, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8879, predictive_accuracy: 0.8878, prior_entropy: 0.9835, recall: 0.8878, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5889, scimark_benchmark: 935.5664, usercpu_time_millis: 886790, usercpu_time_millis_testing: 29030, usercpu_time_millis_training: 857760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8904, kappa: 0.775, kb_relative_information_score: 27921.6365, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8911, predictive_accuracy: 0.8909, prior_entropy: 0.9835, recall: 0.8909, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.5823, scimark_benchmark: 920.2531, usercpu_time_millis: 1799390, usercpu_time_millis_testing: 102960, usercpu_time_millis_training: 1696430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9235, kappa: 0.8433, kb_relative_information_score: 33387.5126, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9235, predictive_accuracy: 0.9236, prior_entropy: 0.9835, recall: 0.9236, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4871, scimark_benchmark: 901.4991, usercpu_time_millis: 24650, usercpu_time_millis_testing: 2160, usercpu_time_millis_training: 22490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7983, kappa: 0.5857, kb_relative_information_score: 21543.0316, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7985, predictive_accuracy: 0.7993, prior_entropy: 0.9835, recall: 0.7993, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7573, scimark_benchmark: 932.438, usercpu_time_millis: 430, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9043, kappa: 0.8039, kb_relative_information_score: 31679.3046, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9042, predictive_accuracy: 0.9044, prior_entropy: 0.9835, recall: 0.9044, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5384, scimark_benchmark: 933.3455, usercpu_time_millis: 4530, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 4400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7983, kappa: 0.5857, kb_relative_information_score: 21543.0316, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7985, predictive_accuracy: 0.7993, prior_entropy: 0.9835, recall: 0.7993, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7573, scimark_benchmark: 933.3455, usercpu_time_millis: 500, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7983, kappa: 0.5857, kb_relative_information_score: 21543.0316, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7985, predictive_accuracy: 0.7993, prior_entropy: 0.9835, recall: 0.7993, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7573, scimark_benchmark: 930.404, usercpu_time_millis: 530, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7983, kappa: 0.5857, kb_relative_information_score: 21543.0316, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7985, predictive_accuracy: 0.7993, prior_entropy: 0.9835, recall: 0.7993, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7573, scimark_benchmark: 938.1282, usercpu_time_millis: 590, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7983, kappa: 0.5857, kb_relative_information_score: 21543.0316, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7985, predictive_accuracy: 0.7993, prior_entropy: 0.9835, recall: 0.7993, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7573, scimark_benchmark: 930.404, usercpu_time_millis: 470, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7451, kappa: 0.4783, kb_relative_information_score: 18573.2594, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7451, predictive_accuracy: 0.7451, prior_entropy: 0.9835, recall: 0.7451, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8699, scimark_benchmark: 930.404, usercpu_time_millis: 460, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7446, kappa: 0.4754, kb_relative_information_score: 22174.48, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7592, predictive_accuracy: 0.753, prior_entropy: 0.9835, recall: 0.753, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0055, scimark_benchmark: 930.404, usercpu_time_millis: 507410, usercpu_time_millis_testing: 237760, usercpu_time_millis_training: 269650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7446, kappa: 0.4754, kb_relative_information_score: 22174.48, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7592, predictive_accuracy: 0.753, prior_entropy: 0.9835, recall: 0.753, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0055, scimark_benchmark: 936.2574, usercpu_time_millis: 438460, usercpu_time_millis_testing: 191340, usercpu_time_millis_training: 247120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7959, kappa: 0.5811, kb_relative_information_score: 18266.9173, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7959, predictive_accuracy: 0.7967, prior_entropy: 0.9835, recall: 0.7967, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7751, scimark_benchmark: 936.2574, usercpu_time_millis: 15510, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 15470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7833, kappa: 0.5541, kb_relative_information_score: 12719.0345, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7861, predictive_accuracy: 0.786, prior_entropy: 0.9835, recall: 0.786, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8175, scimark_benchmark: 935.2002, usercpu_time_millis: 3100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8201, kappa: 0.6307, kb_relative_information_score: 23356.0618, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8203, predictive_accuracy: 0.8209, prior_entropy: 0.9835, recall: 0.8209, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7394, scimark_benchmark: 819.5729, usercpu_time_millis: 590, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9235, kappa: 0.8433, kb_relative_information_score: 33387.5126, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9235, predictive_accuracy: 0.9236, prior_entropy: 0.9835, recall: 0.9236, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4871, scimark_benchmark: 943.1009, usercpu_time_millis: 25880, usercpu_time_millis_testing: 2080, usercpu_time_millis_training: 23800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8491, kappa: 0.6904, kb_relative_information_score: 27646.4519, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8493, predictive_accuracy: 0.8496, prior_entropy: 0.9835, recall: 0.8496, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.688, scimark_benchmark: 937.5117, usercpu_time_millis: 15260, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 15140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7983, kappa: 0.5857, kb_relative_information_score: 21543.0316, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7985, predictive_accuracy: 0.7993, prior_entropy: 0.9835, recall: 0.7993, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7573, scimark_benchmark: 941.3847, usercpu_time_millis: 400, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7446, kappa: 0.4754, kb_relative_information_score: 22174.48, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7592, predictive_accuracy: 0.753, prior_entropy: 0.9835, recall: 0.753, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0055, scimark_benchmark: 937.5117, usercpu_time_millis: 384480, usercpu_time_millis_testing: 151760, usercpu_time_millis_training: 232720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9235, kappa: 0.8433, kb_relative_information_score: 33387.5126, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9235, predictive_accuracy: 0.9236, prior_entropy: 0.9835, recall: 0.9236, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4871, scimark_benchmark: 931.771, usercpu_time_millis: 25290, usercpu_time_millis_testing: 2270, usercpu_time_millis_training: 23020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8491, kappa: 0.6904, kb_relative_information_score: 27646.4519, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8493, predictive_accuracy: 0.8496, prior_entropy: 0.9835, recall: 0.8496, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.688, scimark_benchmark: 927.2917, usercpu_time_millis: 15040, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 14910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7983, kappa: 0.5857, kb_relative_information_score: 21543.0316, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7985, predictive_accuracy: 0.7993, prior_entropy: 0.9835, recall: 0.7993, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7573, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9043, kappa: 0.8039, kb_relative_information_score: 31679.3046, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9042, predictive_accuracy: 0.9044, prior_entropy: 0.9835, recall: 0.9044, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5384, scimark_benchmark: 941.6675, usercpu_time_millis: 4720, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 4510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7983, kappa: 0.5857, kb_relative_information_score: 21543.0316, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7985, predictive_accuracy: 0.7993, prior_entropy: 0.9835, recall: 0.7993, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7573, scimark_benchmark: 941.6675, usercpu_time_millis: 510, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7983, kappa: 0.5857, kb_relative_information_score: 21543.0316, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7985, predictive_accuracy: 0.7993, prior_entropy: 0.9835, recall: 0.7993, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7573, scimark_benchmark: 938.191, usercpu_time_millis: 380, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7983, kappa: 0.5857, kb_relative_information_score: 21543.0316, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7985, predictive_accuracy: 0.7993, prior_entropy: 0.9835, recall: 0.7993, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7573, scimark_benchmark: 941.6675, usercpu_time_millis: 560, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7451, kappa: 0.4783, kb_relative_information_score: 18573.2594, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7451, predictive_accuracy: 0.7451, prior_entropy: 0.9835, recall: 0.7451, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8699, scimark_benchmark: 941.6675, usercpu_time_millis: 470, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7446, kappa: 0.4754, kb_relative_information_score: 22174.48, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7592, predictive_accuracy: 0.753, prior_entropy: 0.9835, recall: 0.753, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0055, scimark_benchmark: 916.0735, usercpu_time_millis: 448290, usercpu_time_millis_testing: 192780, usercpu_time_millis_training: 255510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7959, kappa: 0.5811, kb_relative_information_score: 18266.9173, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7959, predictive_accuracy: 0.7967, prior_entropy: 0.9835, recall: 0.7967, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7751, scimark_benchmark: 851.2074, usercpu_time_millis: 29810, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 29760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7833, kappa: 0.5541, kb_relative_information_score: 12719.0345, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7861, predictive_accuracy: 0.786, prior_entropy: 0.9835, recall: 0.786, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8175, scimark_benchmark: 972.587, usercpu_time_millis: 3360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8201, kappa: 0.6307, kb_relative_information_score: 23356.0618, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8203, predictive_accuracy: 0.8209, prior_entropy: 0.9835, recall: 0.8209, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7394, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7718, kappa: 0.5304, kb_relative_information_score: 24208.7235, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7745, predictive_accuracy: 0.7747, prior_entropy: 0.9835, recall: 0.7747, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9603, usercpu_time_millis: 211.958, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 211.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.8218, kappa: 0.6338, kb_relative_information_score: 28711.3479, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8223, predictive_accuracy: 0.8228, prior_entropy: 0.9835, recall: 0.8228, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8517, usercpu_time_millis: 587.205, usercpu_time_millis_testing: 3.234, usercpu_time_millis_training: 583.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.7154, kappa: 0.4146, kb_relative_information_score: 19344.318, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7234, predictive_accuracy: 0.7228, prior_entropy: 0.9835, recall: 0.7228, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0652, usercpu_time_millis: 19.282, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 19.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8669, kappa: 0.7273, kb_relative_information_score: 32866.6624, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8669, predictive_accuracy: 0.8671, prior_entropy: 0.9835, recall: 0.8671, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7374, usercpu_time_millis: 390.756, usercpu_time_millis_testing: 2.98, usercpu_time_millis_training: 387.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 5542.8854, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3182, usercpu_time_millis: 22.375, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 22.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.8099, kappa: 0.6099, kb_relative_information_score: 27553.6483, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8098, predictive_accuracy: 0.8104, prior_entropy: 0.9835, recall: 0.8104, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8809, usercpu_time_millis: 28.975, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 28.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.7531, kappa: 0.4921, kb_relative_information_score: 22749.1951, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9929, usercpu_time_millis: 11.185, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 10.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.7503, kappa: 0.487, kb_relative_information_score: 22658.233, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7641, predictive_accuracy: 0.7582, prior_entropy: 0.9835, recall: 0.7582, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9949, usercpu_time_millis: 22.43, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 22.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9081, kappa: 0.812, kb_relative_information_score: 36705.6768, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9081, predictive_accuracy: 0.9081, prior_entropy: 0.9835, recall: 0.9081, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6132, usercpu_time_millis: 38.798, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 38.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8443, kappa: 0.6808, kb_relative_information_score: 30751.7934, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8442, predictive_accuracy: 0.8446, prior_entropy: 0.9835, recall: 0.8446, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7976, usercpu_time_millis: 33.518, usercpu_time_millis_testing: 33.422, usercpu_time_millis_training: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7936, kappa: 0.5775, kb_relative_information_score: 25978.35, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7936, predictive_accuracy: 0.7936, prior_entropy: 0.9835, recall: 0.7936, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9191, usercpu_time_millis: 1281.277, usercpu_time_millis_testing: 137.475, usercpu_time_millis_training: 1143.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.7216, kappa: 0.4285, kb_relative_information_score: 20131.9672, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7356, predictive_accuracy: 0.7312, prior_entropy: 0.9835, recall: 0.7312, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0489, usercpu_time_millis: 4.318, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 4.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.7154, kappa: 0.4146, kb_relative_information_score: 19344.318, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7234, predictive_accuracy: 0.7228, prior_entropy: 0.9835, recall: 0.7228, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0652, usercpu_time_millis: 23.461, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 23.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.7564, kappa: 0.4987, kb_relative_information_score: 22937.3213, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7611, prior_entropy: 0.9835, recall: 0.7611, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9888, usercpu_time_millis: 8.344, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 8.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7044, kappa: 0.4068, kb_relative_information_score: 19999.6587, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7701, predictive_accuracy: 0.7298, prior_entropy: 0.9835, recall: 0.7298, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5198, root_relative_squared_error: 1.0517, usercpu_time_millis: 20.284, usercpu_time_millis_testing: 18.517, usercpu_time_millis_training: 1.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.8566, kappa: 0.7058, kb_relative_information_score: 31919.8295, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8567, predictive_accuracy: 0.857, prior_entropy: 0.9835, recall: 0.857, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.765, usercpu_time_millis: 1468.866, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 1468.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.7554, kappa: 0.4966, kb_relative_information_score: 22813.2821, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7604, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9915, usercpu_time_millis: 2.628, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 2.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.7665, kappa: 0.5195, kb_relative_information_score: 23737.3744, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7695, predictive_accuracy: 0.7697, prior_entropy: 0.9835, recall: 0.7697, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9709, usercpu_time_millis: 42.596, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 42.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.8538, kappa: 0.7022, kb_relative_information_score: 31576.6543, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8554, predictive_accuracy: 0.8534, prior_entropy: 0.9835, recall: 0.8534, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7747, usercpu_time_millis: 437.586, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 436.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.738, kappa: 0.4608, kb_relative_information_score: 21074.6654, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7399, predictive_accuracy: 0.7413, prior_entropy: 0.9835, recall: 0.7413, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0291, usercpu_time_millis: 24.987, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 24.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.8, kappa: 0.5884, kb_relative_information_score: 26805.2782, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.803, predictive_accuracy: 0.8024, prior_entropy: 0.9835, recall: 0.8024, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8993, usercpu_time_millis: 1055.728, usercpu_time_millis_testing: 68.344, usercpu_time_millis_training: 987.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6903, kappa: 0.3819, kb_relative_information_score: 19052.8258, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7647, predictive_accuracy: 0.7197, prior_entropy: 0.9835, recall: 0.7197, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5295, root_relative_squared_error: 1.0712, usercpu_time_millis: 4.294, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 4.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8979, kappa: 0.7906, kb_relative_information_score: 35765.0459, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8979, predictive_accuracy: 0.8981, prior_entropy: 0.9835, recall: 0.8981, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6459, usercpu_time_millis: 374.517, usercpu_time_millis_testing: 4.967, usercpu_time_millis_training: 369.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6486, kappa: 0.2779, kb_relative_information_score: 13400.7712, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6552, predictive_accuracy: 0.6593, prior_entropy: 0.9835, recall: 0.6593, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5837, root_relative_squared_error: 1.1808, usercpu_time_millis: 1565.566, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1565.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8942, kappa: 0.7833, kb_relative_information_score: 35415.6687, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8942, predictive_accuracy: 0.8944, prior_entropy: 0.9835, recall: 0.8944, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6576, usercpu_time_millis: 457.129, usercpu_time_millis_testing: 15.793, usercpu_time_millis_training: 441.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.7564, kappa: 0.4987, kb_relative_information_score: 22937.3213, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7611, prior_entropy: 0.9835, recall: 0.7611, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9888, usercpu_time_millis: 1947.522, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 1946.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7122, kappa: 0.4119, kb_relative_information_score: 19670.9547, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7372, predictive_accuracy: 0.7263, prior_entropy: 0.9835, recall: 0.7263, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5232, root_relative_squared_error: 1.0585, usercpu_time_millis: 700.153, usercpu_time_millis_testing: 2.724, usercpu_time_millis_training: 697.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7521, kappa: 0.4907, kb_relative_information_score: 22817.4167, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7659, predictive_accuracy: 0.7599, prior_entropy: 0.9835, recall: 0.7599, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9914, usercpu_time_millis: 2.727, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 2.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.7762, kappa: 0.5398, kb_relative_information_score: 24924.0165, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7885, predictive_accuracy: 0.7824, prior_entropy: 0.9835, recall: 0.7824, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9439, usercpu_time_millis: 6.668, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 6.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7509, kappa: 0.4887, kb_relative_information_score: 22800.8781, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7678, predictive_accuracy: 0.7597, prior_entropy: 0.9835, recall: 0.7597, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9918, usercpu_time_millis: 221.582, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 220.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.7511, kappa: 0.4899, kb_relative_information_score: 22937.3213, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7725, predictive_accuracy: 0.7611, prior_entropy: 0.9835, recall: 0.7611, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9888, usercpu_time_millis: 4234.161, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 4233.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.7899, kappa: 0.5675, kb_relative_information_score: 25912.1957, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7938, predictive_accuracy: 0.7929, prior_entropy: 0.9835, recall: 0.7929, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9207, usercpu_time_millis: 2003.185, usercpu_time_millis_testing: 53.007, usercpu_time_millis_training: 1950.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.9215, kappa: 0.8393, kb_relative_information_score: 37966.7424, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9215, predictive_accuracy: 0.9216, prior_entropy: 0.9835, recall: 0.9216, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.28, root_relative_squared_error: 0.5665, usercpu_time_millis: 12640.436, usercpu_time_millis_testing: 2807.271, usercpu_time_millis_training: 9833.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.8284, kappa: 0.6478, kb_relative_information_score: 29300.5343, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8286, predictive_accuracy: 0.8291, prior_entropy: 0.9835, recall: 0.8291, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8364, usercpu_time_millis: 188334.818, usercpu_time_millis_testing: 9.297, usercpu_time_millis_training: 188325.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.0389, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.0389, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7048, kappa: 0.4075, kb_relative_information_score: 17729.0633, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7701, predictive_accuracy: 0.73, prior_entropy: 0.9835, recall: 0.73, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9256, scimark_benchmark: 1838.8826, usercpu_time_millis: 156.001, usercpu_time_millis_testing: 109.2007, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.6953, kappa: 0.392, kb_relative_information_score: 17292.2843, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7722, predictive_accuracy: 0.7244, prior_entropy: 0.9835, recall: 0.7244, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9284, scimark_benchmark: 1838.8826, usercpu_time_millis: 421.2027, usercpu_time_millis_testing: 78.0005, usercpu_time_millis_training: 343.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.6953, kappa: 0.392, kb_relative_information_score: 17292.2843, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7722, predictive_accuracy: 0.7244, prior_entropy: 0.9835, recall: 0.7244, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9284, scimark_benchmark: 1851.1033, usercpu_time_millis: 343.2022, usercpu_time_millis_testing: 62.4004, usercpu_time_millis_training: 280.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7936, kappa: 0.5775, kb_relative_information_score: 25977.3742, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7936, predictive_accuracy: 0.7936, prior_entropy: 0.9835, recall: 0.7936, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9191, scimark_benchmark: 1851.1033, usercpu_time_millis: 72493.6647, usercpu_time_millis_testing: 72493.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.6989, kappa: 0.3834, kb_relative_information_score: 17128.5057, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6987, predictive_accuracy: 0.6991, prior_entropy: 0.9835, recall: 0.6991, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5485, root_relative_squared_error: 1.1096, scimark_benchmark: 1851.1033, usercpu_time_millis: 119637.1669, usercpu_time_millis_testing: 119293.9647, usercpu_time_millis_training: 343.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9235, kappa: 0.8433, kb_relative_information_score: 33387.5126, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9235, predictive_accuracy: 0.9236, prior_entropy: 0.9835, recall: 0.9236, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4871, scimark_benchmark: 1851.1033, usercpu_time_millis: 22214.5424, usercpu_time_millis_testing: 1575.6101, usercpu_time_millis_training: 20638.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8014, kappa: 0.5926, kb_relative_information_score: 22226.5554, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8012, predictive_accuracy: 0.8019, prior_entropy: 0.9835, recall: 0.8019, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7477, scimark_benchmark: 1850.8887, usercpu_time_millis: 23166.1485, usercpu_time_millis_testing: 3010.8193, usercpu_time_millis_training: 20155.3292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9081, kappa: 0.812, kb_relative_information_score: 35221.9296, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9081, predictive_accuracy: 0.9081, prior_entropy: 0.9835, recall: 0.9081, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5752, scimark_benchmark: 1850.8887, usercpu_time_millis: 2230.8143, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 2199.6141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7805, kappa: 0.5488, kb_relative_information_score: 18961.5581, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7812, predictive_accuracy: 0.7821, prior_entropy: 0.9835, recall: 0.7821, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7979, scimark_benchmark: 1850.8887, usercpu_time_millis: 3307.2212, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 3276.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8454, kappa: 0.6832, kb_relative_information_score: 30857.2267, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8453, predictive_accuracy: 0.8457, prior_entropy: 0.9835, recall: 0.8457, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 5542.8854, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6658, kappa: 0.3235, kb_relative_information_score: 12378.4858, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7032, predictive_accuracy: 0.6891, prior_entropy: 0.9835, recall: 0.6891, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9829, scimark_benchmark: 1732.2066, usercpu_time_millis: 405.6026, usercpu_time_millis_testing: 187.2012, usercpu_time_millis_training: 218.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.6417, kappa: 0.2902, kb_relative_information_score: 11081.2569, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7162, predictive_accuracy: 0.68, prior_entropy: 0.9835, recall: 0.68, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9978, scimark_benchmark: 1732.2066, usercpu_time_millis: 514.8033, usercpu_time_millis_testing: 78.0005, usercpu_time_millis_training: 436.8028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9103, kappa: 0.8164, kb_relative_information_score: 36236.8809, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9103, predictive_accuracy: 0.9104, prior_entropy: 0.9835, recall: 0.9104, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5639, scimark_benchmark: 1732.2066, usercpu_time_millis: 95394.6115, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 95363.4113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8803, kappa: 0.7549, kb_relative_information_score: 31350.3065, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8803, prior_entropy: 0.9835, recall: 0.8803, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6251, scimark_benchmark: 1779.392, usercpu_time_millis: 280.8018, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 265.2017,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs