Task
Supervised Classification on BNG(tic-tac-toe)

Supervised Classification on BNG(tic-tac-toe)

Task 1942 Supervised Classification BNG(tic-tac-toe) 205 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

205 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7808, kappa: 0.5096, kb_relative_information_score: 142034.5072, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7807, predictive_accuracy: 0.7851, prior_entropy: 0.9315, recall: 0.7851, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8392, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.719, kappa: 0.3671, kb_relative_information_score: 36751.3937, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7199, predictive_accuracy: 0.7295, prior_entropy: 0.9315, recall: 0.7295, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9201, scimark_benchmark: 972.587, usercpu_time_millis: 590, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7163, kappa: 0.3597, kb_relative_information_score: 82098.7851, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7201, predictive_accuracy: 0.7299, prior_entropy: 0.9315, recall: 0.7299, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8917, scimark_benchmark: 851.2074, usercpu_time_millis: 26810, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 26780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7856, kappa: 0.5181, kb_relative_information_score: 205505.5201, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9578, scimark_benchmark: 931.771, usercpu_time_millis: 471560, usercpu_time_millis_testing: 210060, usercpu_time_millis_training: 261500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 941.6675, usercpu_time_millis: 160, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7913, kappa: 0.5338, kb_relative_information_score: 155415.7589, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7909, predictive_accuracy: 0.7947, prior_entropy: 0.9315, recall: 0.7947, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7913, scimark_benchmark: 941.6675, usercpu_time_millis: 2750, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7838, kappa: 0.519, kb_relative_information_score: 164913.9655, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7829, predictive_accuracy: 0.786, prior_entropy: 0.9315, recall: 0.786, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8262, scimark_benchmark: 931.771, usercpu_time_millis: 8920, usercpu_time_millis_testing: 2540, usercpu_time_millis_training: 6380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7856, kappa: 0.5181, kb_relative_information_score: 205505.5201, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9578, scimark_benchmark: 932.438, usercpu_time_millis: 476390, usercpu_time_millis_testing: 230440, usercpu_time_millis_training: 245950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7978, kappa: 0.5489, kb_relative_information_score: 167813.4819, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7974, predictive_accuracy: 0.8008, prior_entropy: 0.9315, recall: 0.8008, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7871, scimark_benchmark: 936.3373, usercpu_time_millis: 6660, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 6550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7838, kappa: 0.519, kb_relative_information_score: 164913.9655, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7829, predictive_accuracy: 0.786, prior_entropy: 0.9315, recall: 0.786, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8262, scimark_benchmark: 943.1009, usercpu_time_millis: 9930, usercpu_time_millis_testing: 3070, usercpu_time_millis_training: 6860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7808, kappa: 0.5096, kb_relative_information_score: 142034.5072, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7807, predictive_accuracy: 0.7851, prior_entropy: 0.9315, recall: 0.7851, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8392, scimark_benchmark: 819.5729, usercpu_time_millis: 310, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.719, kappa: 0.3671, kb_relative_information_score: 36751.3937, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7199, predictive_accuracy: 0.7295, prior_entropy: 0.9315, recall: 0.7295, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9201, scimark_benchmark: 935.2002, usercpu_time_millis: 690, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7163, kappa: 0.3597, kb_relative_information_score: 82098.7851, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7201, predictive_accuracy: 0.7299, prior_entropy: 0.9315, recall: 0.7299, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8917, scimark_benchmark: 608.4057, usercpu_time_millis: 31960, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 31940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7856, kappa: 0.5181, kb_relative_information_score: 205505.5201, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9578, scimark_benchmark: 919.9068, usercpu_time_millis: 547360, usercpu_time_millis_testing: 253780, usercpu_time_millis_training: 293580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7856, kappa: 0.5181, kb_relative_information_score: 205505.5201, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9578, scimark_benchmark: 730.6551, usercpu_time_millis: 666370, usercpu_time_millis_testing: 253950, usercpu_time_millis_training: 412420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7081, kappa: 0.3443, kb_relative_information_score: 83027.374, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7069, predictive_accuracy: 0.7167, prior_entropy: 0.9315, recall: 0.7167, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9118, scimark_benchmark: 930.404, usercpu_time_millis: 100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 941.4991, usercpu_time_millis: 160, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7913, kappa: 0.5338, kb_relative_information_score: 155415.7589, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7909, predictive_accuracy: 0.7947, prior_entropy: 0.9315, recall: 0.7947, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7913, scimark_benchmark: 933.3455, usercpu_time_millis: 2640, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 932.438, usercpu_time_millis: 150, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7978, kappa: 0.5489, kb_relative_information_score: 167813.4819, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7974, predictive_accuracy: 0.8008, prior_entropy: 0.9315, recall: 0.8008, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7871, scimark_benchmark: 936.3213, usercpu_time_millis: 6640, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 6520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7838, kappa: 0.519, kb_relative_information_score: 164913.9655, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7829, predictive_accuracy: 0.786, prior_entropy: 0.9315, recall: 0.786, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8262, scimark_benchmark: 938.988, usercpu_time_millis: 8950, usercpu_time_millis_testing: 2480, usercpu_time_millis_training: 6470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.7992, kappa: 0.5503, kb_relative_information_score: 155149.4642, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7999, predictive_accuracy: 0.8035, prior_entropy: 0.9315, recall: 0.8035, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7781, scimark_benchmark: 920.2531, usercpu_time_millis: 1900950, usercpu_time_millis_testing: 100630, usercpu_time_millis_training: 1800320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7989, kappa: 0.5498, kb_relative_information_score: 155021.5376, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7996, predictive_accuracy: 0.8032, prior_entropy: 0.9315, recall: 0.8032, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7786, scimark_benchmark: 934.7923, usercpu_time_millis: 894710, usercpu_time_millis_testing: 37750, usercpu_time_millis_training: 856960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.7991, kappa: 0.5502, kb_relative_information_score: 155142.8888, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7998, predictive_accuracy: 0.8034, prior_entropy: 0.9315, recall: 0.8034, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.779, scimark_benchmark: 942.5233, usercpu_time_millis: 468330, usercpu_time_millis_testing: 15360, usercpu_time_millis_training: 452970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7986, kappa: 0.5491, kb_relative_information_score: 154911.4968, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7992, predictive_accuracy: 0.8028, prior_entropy: 0.9315, recall: 0.8028, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7805, scimark_benchmark: 920.5394, usercpu_time_millis: 230320, usercpu_time_millis_testing: 6270, usercpu_time_millis_training: 224050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7969, kappa: 0.5453, kb_relative_information_score: 154391.4219, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7973, predictive_accuracy: 0.801, prior_entropy: 0.9315, recall: 0.801, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7835, scimark_benchmark: 926.5859, usercpu_time_millis: 160700, usercpu_time_millis_testing: 3270, usercpu_time_millis_training: 157430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 76196.5358, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9055, scimark_benchmark: 929.0296, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 76196.5358, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9055, scimark_benchmark: 929.0296, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 76196.5358, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9055, scimark_benchmark: 936.1714, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 76196.5358, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9055, scimark_benchmark: 929.0296, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 76196.5358, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9055, scimark_benchmark: 929.0296, usercpu_time_millis: 210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7101, kappa: 0.3467, kb_relative_information_score: 81047.8192, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7113, predictive_accuracy: 0.7219, prior_entropy: 0.9315, recall: 0.7219, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.907, scimark_benchmark: 929.0296, usercpu_time_millis: 510, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7171, kappa: 0.3662, kb_relative_information_score: 135849.041, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7154, predictive_accuracy: 0.7234, prior_entropy: 0.9315, recall: 0.7234, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9959, scimark_benchmark: 936.1714, usercpu_time_millis: 6490, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 6200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.715, kappa: 0.3595, kb_relative_information_score: 136699.8536, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7142, predictive_accuracy: 0.7236, prior_entropy: 0.9315, recall: 0.7236, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.994, scimark_benchmark: 938.3115, usercpu_time_millis: 2990, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 2830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7124, kappa: 0.3559, kb_relative_information_score: 135075.3548, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7105, predictive_accuracy: 0.7185, prior_entropy: 0.9315, recall: 0.7185, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0006, scimark_benchmark: 940.0055, usercpu_time_millis: 1610, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.71, kappa: 0.3476, kb_relative_information_score: 133387.5365, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7096, predictive_accuracy: 0.7198, prior_entropy: 0.9315, recall: 0.7198, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0053, scimark_benchmark: 938.3115, usercpu_time_millis: 760, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7019, kappa: 0.3435, kb_relative_information_score: 120992.8969, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7024, predictive_accuracy: 0.7015, prior_entropy: 0.9315, recall: 0.7015, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0498, scimark_benchmark: 941.9549, usercpu_time_millis: 380, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5158, kb_relative_information_score: 79492.5597, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.4263, predictive_accuracy: 0.6529, prior_entropy: 0.9315, recall: 0.6529, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.5892, root_relative_squared_error: 1.2376, scimark_benchmark: 938.3115, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7808, kappa: 0.5096, kb_relative_information_score: 142034.5071, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7807, predictive_accuracy: 0.7851, prior_entropy: 0.9315, recall: 0.7851, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8392, scimark_benchmark: 926.5859, usercpu_time_millis: 610, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7906, kappa: 0.5318, kb_relative_information_score: 53918.5593, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7906, predictive_accuracy: 0.7946, prior_entropy: 0.9315, recall: 0.7946, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8831, scimark_benchmark: 911.442, usercpu_time_millis: 15400, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 15130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.7019, kappa: 0.3435, kb_relative_information_score: 51216.4163, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7024, predictive_accuracy: 0.7015, prior_entropy: 0.9315, recall: 0.7015, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9392, scimark_benchmark: 931.7994, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7808, kappa: 0.5096, kb_relative_information_score: 142034.5072, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7807, predictive_accuracy: 0.7851, prior_entropy: 0.9315, recall: 0.7851, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8392, scimark_benchmark: 935.6052, usercpu_time_millis: 360, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.719, kappa: 0.3671, kb_relative_information_score: 36751.3937, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7199, predictive_accuracy: 0.7295, prior_entropy: 0.9315, recall: 0.7295, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9201, scimark_benchmark: 926.4745, usercpu_time_millis: 700, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7163, kappa: 0.3597, kb_relative_information_score: 82098.7851, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7201, predictive_accuracy: 0.7299, prior_entropy: 0.9315, recall: 0.7299, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8917, scimark_benchmark: 922.9595, usercpu_time_millis: 20050, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7856, kappa: 0.5181, kb_relative_information_score: 205505.5201, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9578, scimark_benchmark: 945.988, usercpu_time_millis: 514910, usercpu_time_millis_testing: 237120, usercpu_time_millis_training: 277790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7856, kappa: 0.5181, kb_relative_information_score: 205505.5201, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9578, scimark_benchmark: 944.5341, usercpu_time_millis: 470020, usercpu_time_millis_testing: 207150, usercpu_time_millis_training: 262870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7081, kappa: 0.3443, kb_relative_information_score: 83027.374, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7069, predictive_accuracy: 0.7167, prior_entropy: 0.9315, recall: 0.7167, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9118, scimark_benchmark: 922.5036, usercpu_time_millis: 150, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 922.5036, usercpu_time_millis: 150, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7913, kappa: 0.5338, kb_relative_information_score: 155415.7589, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7909, predictive_accuracy: 0.7947, prior_entropy: 0.9315, recall: 0.7947, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7913, scimark_benchmark: 946.9304, usercpu_time_millis: 2490, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 879.4299, usercpu_time_millis: 160, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7978, kappa: 0.5489, kb_relative_information_score: 167813.4819, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7974, predictive_accuracy: 0.8008, prior_entropy: 0.9315, recall: 0.8008, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7871, scimark_benchmark: 942.3809, usercpu_time_millis: 6730, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 6610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7838, kappa: 0.519, kb_relative_information_score: 164913.9655, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7829, predictive_accuracy: 0.786, prior_entropy: 0.9315, recall: 0.786, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8262, scimark_benchmark: 935.627, usercpu_time_millis: 10460, usercpu_time_millis_testing: 3070, usercpu_time_millis_training: 7390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7808, kappa: 0.5096, kb_relative_information_score: 142034.5072, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7807, predictive_accuracy: 0.7851, prior_entropy: 0.9315, recall: 0.7851, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8392, scimark_benchmark: 946.9304, usercpu_time_millis: 350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1332.1612, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7808, kappa: 0.5096, kb_relative_information_score: 142034.5072, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7807, predictive_accuracy: 0.7851, prior_entropy: 0.9315, recall: 0.7851, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8392, scimark_benchmark: 1342.8632, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7856, kappa: 0.5181, kb_relative_information_score: 205505.5201, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9578, scimark_benchmark: 1340.6048, usercpu_time_millis: 459530, usercpu_time_millis_testing: 210450, usercpu_time_millis_training: 249080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1332.9478, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7978, kappa: 0.5489, kb_relative_information_score: 167813.4819, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7974, predictive_accuracy: 0.8008, prior_entropy: 0.9315, recall: 0.8008, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7871, scimark_benchmark: 1342.8632, usercpu_time_millis: 8450, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 8230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7808, kappa: 0.5096, kb_relative_information_score: 142034.5072, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7807, predictive_accuracy: 0.7851, prior_entropy: 0.9315, recall: 0.7851, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8392, scimark_benchmark: 1322.5413, usercpu_time_millis: 280, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1362.9924, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1339.2472, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7856, kappa: 0.5181, kb_relative_information_score: 205505.5201, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9578, scimark_benchmark: 1347.6543, usercpu_time_millis: 382760, usercpu_time_millis_testing: 153010, usercpu_time_millis_training: 229750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7808, kappa: 0.5096, kb_relative_information_score: 142034.5072, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7807, predictive_accuracy: 0.7851, prior_entropy: 0.9315, recall: 0.7851, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8392, scimark_benchmark: 1316.5396, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1322.5413, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7856, kappa: 0.5181, kb_relative_information_score: 205505.5201, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9578, scimark_benchmark: 1286.2211, usercpu_time_millis: 465350, usercpu_time_millis_testing: 212160, usercpu_time_millis_training: 253190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1331.7953, usercpu_time_millis: 110, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.719, kappa: 0.3671, kb_relative_information_score: 36751.3937, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7199, predictive_accuracy: 0.7295, prior_entropy: 0.9315, recall: 0.7295, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9201, scimark_benchmark: 1310.3168, usercpu_time_millis: 1540, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7019, kappa: 0.3435, kb_relative_information_score: 58210.9731, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7024, predictive_accuracy: 0.7015, prior_entropy: 0.9315, recall: 0.7015, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9257, scimark_benchmark: 1286.2211, usercpu_time_millis: 1815620, usercpu_time_millis_testing: 1815610, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1317.5857, usercpu_time_millis: 110, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1324.8408, usercpu_time_millis: 110, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1317.5857, usercpu_time_millis: 130, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7808, kappa: 0.5096, kb_relative_information_score: 142034.5072, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7807, predictive_accuracy: 0.7851, prior_entropy: 0.9315, recall: 0.7851, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8392, scimark_benchmark: 1296.8947, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1366.7181, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7913, kappa: 0.5338, kb_relative_information_score: 155415.7589, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7909, predictive_accuracy: 0.7947, prior_entropy: 0.9315, recall: 0.7947, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7913, scimark_benchmark: 1310.6554, usercpu_time_millis: 2080, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7856, kappa: 0.5181, kb_relative_information_score: 205505.5201, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9578, scimark_benchmark: 1310.6554, usercpu_time_millis: 364370, usercpu_time_millis_testing: 153340, usercpu_time_millis_training: 211030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7808, kappa: 0.5096, kb_relative_information_score: 142034.5072, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7807, predictive_accuracy: 0.7851, prior_entropy: 0.9315, recall: 0.7851, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8392, scimark_benchmark: 1310.3168, usercpu_time_millis: 310, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7081, kappa: 0.3443, kb_relative_information_score: 83027.374, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7069, predictive_accuracy: 0.7167, prior_entropy: 0.9315, recall: 0.7167, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9118, scimark_benchmark: 1310.6554, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1321.8321, usercpu_time_millis: 110, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1337.9552, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7913, kappa: 0.5338, kb_relative_information_score: 155415.7589, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7909, predictive_accuracy: 0.7947, prior_entropy: 0.9315, recall: 0.7947, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7913, scimark_benchmark: 1337.9552, usercpu_time_millis: 2970, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1393.8432, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7081, kappa: 0.3443, kb_relative_information_score: 83027.374, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7069, predictive_accuracy: 0.7167, prior_entropy: 0.9315, recall: 0.7167, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9118, scimark_benchmark: 1323.5075, usercpu_time_millis: 100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1333.0982, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1331.1314, usercpu_time_millis: 110, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1333.0982, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1333.0982, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1332.9478, usercpu_time_millis: 110, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7978, kappa: 0.5489, kb_relative_information_score: 167813.4819, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7974, predictive_accuracy: 0.8008, prior_entropy: 0.9315, recall: 0.8008, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7871, scimark_benchmark: 1309.2287, usercpu_time_millis: 7740, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 7510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.7148, kappa: 0.3572, kb_relative_information_score: 146289.2924, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7166, predictive_accuracy: 0.7267, prior_entropy: 0.9315, recall: 0.7267, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.0982, scimark_benchmark: 1362.1309, usercpu_time_millis: 2370, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.719, kappa: 0.3671, kb_relative_information_score: 36751.3937, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7199, predictive_accuracy: 0.7295, prior_entropy: 0.9315, recall: 0.7295, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9201, scimark_benchmark: 1346.0226, usercpu_time_millis: 510, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7811, kappa: 0.5101, kb_relative_information_score: 142196.3597, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.781, predictive_accuracy: 0.7855, prior_entropy: 0.9315, recall: 0.7855, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8389, scimark_benchmark: 1330.4755, usercpu_time_millis: 1510, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7163, kappa: 0.3597, kb_relative_information_score: 82098.7851, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7201, predictive_accuracy: 0.7299, prior_entropy: 0.9315, recall: 0.7299, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8917, scimark_benchmark: 1344.0499, usercpu_time_millis: 11900, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 11870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 1303.9481, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7913, kappa: 0.5338, kb_relative_information_score: 155415.7589, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7909, predictive_accuracy: 0.7947, prior_entropy: 0.9315, recall: 0.7947, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7913, scimark_benchmark: 1330.6748, usercpu_time_millis: 2090, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7856, kappa: 0.5181, kb_relative_information_score: 205505.5201, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7882, predictive_accuracy: 0.7921, prior_entropy: 0.9315, recall: 0.7921, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9578, scimark_benchmark: 1375.1578, usercpu_time_millis: 386160, usercpu_time_millis_testing: 183090, usercpu_time_millis_training: 203070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7348, kappa: 0.4032, kb_relative_information_score: 99232.3955, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.736, predictive_accuracy: 0.744, prior_entropy: 0.9315, recall: 0.744, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8739, scimark_benchmark: 929.0363, usercpu_time_millis: 150, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7978, kappa: 0.5489, kb_relative_information_score: 167813.4819, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7974, predictive_accuracy: 0.8008, prior_entropy: 0.9315, recall: 0.8008, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7871, scimark_benchmark: 1322.7257, usercpu_time_millis: 7750, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 7530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7838, kappa: 0.519, kb_relative_information_score: 164913.9655, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7829, predictive_accuracy: 0.786, prior_entropy: 0.9315, recall: 0.786, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8262, scimark_benchmark: 1267.7714, usercpu_time_millis: 9070, usercpu_time_millis_testing: 3450, usercpu_time_millis_training: 5620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7607, kappa: 0.4617, kb_relative_information_score: 116817.1879, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4532, number_of_instances: 393660, precision: 0.7628, predictive_accuracy: 0.7685, prior_entropy: 0.9315, recall: 0.7685, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8375, scimark_benchmark: 1359.7293, usercpu_time_millis: 260, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 40,

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