Task
Supervised Classification on fri_c1_250_50

Supervised Classification on fri_c1_250_50

Task 4340 Supervised Classification fri_c1_250_50 209 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

209 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.831, kappa: 0.6586, kb_relative_information_score: 1451.2837, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.831, predictive_accuracy: 0.8312, prior_entropy: 0.9934, recall: 0.8312, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.741, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8664, kappa: 0.7303, kb_relative_information_score: 1496.0936, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8664, predictive_accuracy: 0.8664, prior_entropy: 0.9934, recall: 0.8664, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6347, scimark_benchmark: 972.587, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8557, kappa: 0.7083, kb_relative_information_score: 1586.866, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9934, recall: 0.856, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6745, scimark_benchmark: 934.3687, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6449, kappa: 0.2818, kb_relative_information_score: 720.5354, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6468, predictive_accuracy: 0.6488, prior_entropy: 0.9934, recall: 0.6488, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1907, scimark_benchmark: 944.1067, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6449, kappa: 0.2818, kb_relative_information_score: 720.5354, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6468, predictive_accuracy: 0.6488, prior_entropy: 0.9934, recall: 0.6488, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1907, scimark_benchmark: 916.0735, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8747, kappa: 0.747, kb_relative_information_score: 1450.0767, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8747, predictive_accuracy: 0.8748, prior_entropy: 0.9934, recall: 0.8748, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6305, scimark_benchmark: 938.191, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6604, kappa: 0.3139, kb_relative_information_score: 615.3779, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6602, predictive_accuracy: 0.6608, prior_entropy: 0.9934, recall: 0.6608, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9564, scimark_benchmark: 908.6124, usercpu_time_millis: 300, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8353, kappa: 0.6671, kb_relative_information_score: 1552.6922, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8354, predictive_accuracy: 0.8356, prior_entropy: 0.9934, recall: 0.8356, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7288, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6449, kappa: 0.2818, kb_relative_information_score: 720.5354, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6468, predictive_accuracy: 0.6488, prior_entropy: 0.9934, recall: 0.6488, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1907, scimark_benchmark: 941.3847, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6449, kappa: 0.2818, kb_relative_information_score: 720.5354, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6468, predictive_accuracy: 0.6488, prior_entropy: 0.9934, recall: 0.6488, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1907, scimark_benchmark: 941.3847, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8363, kappa: 0.6691, kb_relative_information_score: 792.4365, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8368, predictive_accuracy: 0.8368, prior_entropy: 0.9934, recall: 0.8368, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7776, scimark_benchmark: 947.1781, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.831, kappa: 0.6586, kb_relative_information_score: 1451.2837, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.831, predictive_accuracy: 0.8312, prior_entropy: 0.9934, recall: 0.8312, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.741, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8664, kappa: 0.7303, kb_relative_information_score: 1496.0936, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8664, predictive_accuracy: 0.8664, prior_entropy: 0.9934, recall: 0.8664, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6347, scimark_benchmark: 908.9569, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8557, kappa: 0.7083, kb_relative_information_score: 1586.866, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9934, recall: 0.856, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6745, scimark_benchmark: 936.2574, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6449, kappa: 0.2818, kb_relative_information_score: 720.5354, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6468, predictive_accuracy: 0.6488, prior_entropy: 0.9934, recall: 0.6488, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1907, scimark_benchmark: 927.2882, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6449, kappa: 0.2818, kb_relative_information_score: 720.5354, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6468, predictive_accuracy: 0.6488, prior_entropy: 0.9934, recall: 0.6488, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1907, scimark_benchmark: 943.6618, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8371, kappa: 0.6705, kb_relative_information_score: 1516.9816, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8405, predictive_accuracy: 0.8384, prior_entropy: 0.9934, recall: 0.8384, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6543, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8747, kappa: 0.747, kb_relative_information_score: 1450.0767, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8747, predictive_accuracy: 0.8748, prior_entropy: 0.9934, recall: 0.8748, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6305, scimark_benchmark: 903.2737, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6604, kappa: 0.3139, kb_relative_information_score: 615.3779, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6602, predictive_accuracy: 0.6608, prior_entropy: 0.9934, recall: 0.6608, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9564, scimark_benchmark: 905.2959, usercpu_time_millis: 280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 944.0133, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8353, kappa: 0.6671, kb_relative_information_score: 1552.6922, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8354, predictive_accuracy: 0.8356, prior_entropy: 0.9934, recall: 0.8356, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7288, scimark_benchmark: 932.438, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8363, kappa: 0.6691, kb_relative_information_score: 792.4365, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8368, predictive_accuracy: 0.8368, prior_entropy: 0.9934, recall: 0.8368, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7776, scimark_benchmark: 901.4991, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.7874, kappa: 0.5711, kb_relative_information_score: 695.1163, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7876, predictive_accuracy: 0.7872, prior_entropy: 0.9934, recall: 0.7872, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8145, scimark_benchmark: 1171.0303, usercpu_time_millis: 10360, usercpu_time_millis_testing: 4390, usercpu_time_millis_training: 5970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7896, kappa: 0.5752, kb_relative_information_score: 701.6831, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7895, predictive_accuracy: 0.7896, prior_entropy: 0.9934, recall: 0.7896, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8145, scimark_benchmark: 943.6618, usercpu_time_millis: 3480, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7805, kappa: 0.5565, kb_relative_information_score: 705.7704, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7805, predictive_accuracy: 0.7808, prior_entropy: 0.9934, recall: 0.7808, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8159, scimark_benchmark: 929.7512, usercpu_time_millis: 1560, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7716, kappa: 0.5389, kb_relative_information_score: 727.7957, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7716, predictive_accuracy: 0.7716, prior_entropy: 0.9934, recall: 0.7716, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8152, scimark_benchmark: 917.2109, usercpu_time_millis: 690, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7299, kappa: 0.4546, kb_relative_information_score: 665.7513, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9934, recall: 0.73, relative_absolute_error: 0.7619, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8547, scimark_benchmark: 941.8684, usercpu_time_millis: 330, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8356, kappa: 0.6676, kb_relative_information_score: 1624.5932, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7486, scimark_benchmark: 889.4922, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8328, kappa: 0.6619, kb_relative_information_score: 1613.9447, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8331, predictive_accuracy: 0.8332, prior_entropy: 0.9934, recall: 0.8332, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7507, scimark_benchmark: 889.4922, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.845, kappa: 0.6868, kb_relative_information_score: 1634.3783, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9934, recall: 0.8452, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7133, scimark_benchmark: 929.0296, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8413, kappa: 0.6793, kb_relative_information_score: 1566.6473, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8415, predictive_accuracy: 0.8416, prior_entropy: 0.9934, recall: 0.8416, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6905, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8459, kappa: 0.6883, kb_relative_information_score: 1521.9988, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8466, predictive_accuracy: 0.8464, prior_entropy: 0.9934, recall: 0.8464, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6424, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.388, kb_relative_information_score: -0.6762, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0002, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8437, kappa: 0.684, kb_relative_information_score: 1714.5219, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7389, scimark_benchmark: 936.1714, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8477, kappa: 0.6922, kb_relative_information_score: 1720.1037, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7143, scimark_benchmark: 936.1714, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8412, kappa: 0.6793, kb_relative_information_score: 1659.6735, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8411, predictive_accuracy: 0.8412, prior_entropy: 0.9934, recall: 0.8412, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.728, scimark_benchmark: 938.3115, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8116, kappa: 0.6193, kb_relative_information_score: 1498.9548, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8117, predictive_accuracy: 0.812, prior_entropy: 0.9934, recall: 0.812, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7878, scimark_benchmark: 929.0296, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7887, kappa: 0.5741, kb_relative_information_score: 1318.6051, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7893, predictive_accuracy: 0.7884, prior_entropy: 0.9934, recall: 0.7884, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8353, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.388, kb_relative_information_score: 209.8766, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3509, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8745, kappa: 0.7468, kb_relative_information_score: 1836.3877, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8746, predictive_accuracy: 0.8744, prior_entropy: 0.9934, recall: 0.8744, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6983, scimark_benchmark: 922.8232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8501, kappa: 0.6975, kb_relative_information_score: 790.2376, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8502, predictive_accuracy: 0.85, prior_entropy: 0.9934, recall: 0.85, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7785, scimark_benchmark: 899.1108, usercpu_time_millis: 640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.6816, kappa: 0.3566, kb_relative_information_score: 351.8553, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6866, predictive_accuracy: 0.6864, prior_entropy: 0.9934, recall: 0.6864, relative_absolute_error: 0.8837, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9196, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.831, kappa: 0.6586, kb_relative_information_score: 1451.2837, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.831, predictive_accuracy: 0.8312, prior_entropy: 0.9934, recall: 0.8312, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.741, scimark_benchmark: 934.929, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8664, kappa: 0.7303, kb_relative_information_score: 1496.0936, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8664, predictive_accuracy: 0.8664, prior_entropy: 0.9934, recall: 0.8664, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6347, scimark_benchmark: 923.509, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8557, kappa: 0.7083, kb_relative_information_score: 1586.866, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9934, recall: 0.856, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6745, scimark_benchmark: 938.9926, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6449, kappa: 0.2818, kb_relative_information_score: 720.5354, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6468, predictive_accuracy: 0.6488, prior_entropy: 0.9934, recall: 0.6488, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1907, scimark_benchmark: 945.0194, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6449, kappa: 0.2818, kb_relative_information_score: 720.5354, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6468, predictive_accuracy: 0.6488, prior_entropy: 0.9934, recall: 0.6488, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1907, scimark_benchmark: 946.8777, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8747, kappa: 0.747, kb_relative_information_score: 1450.0767, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8747, predictive_accuracy: 0.8748, prior_entropy: 0.9934, recall: 0.8748, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6305, scimark_benchmark: 945.0194, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6604, kappa: 0.3139, kb_relative_information_score: 615.3779, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6602, predictive_accuracy: 0.6608, prior_entropy: 0.9934, recall: 0.6608, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9564, scimark_benchmark: 915.9028, usercpu_time_millis: 290, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 949.7766, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8353, kappa: 0.6671, kb_relative_information_score: 1552.6922, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8354, predictive_accuracy: 0.8356, prior_entropy: 0.9934, recall: 0.8356, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7288, scimark_benchmark: 942.3809, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8363, kappa: 0.6691, kb_relative_information_score: 792.4365, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8368, predictive_accuracy: 0.8368, prior_entropy: 0.9934, recall: 0.8368, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7776, scimark_benchmark: 942.3809, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.831, kappa: 0.6586, kb_relative_information_score: 1451.2837, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.831, predictive_accuracy: 0.8312, prior_entropy: 0.9934, recall: 0.8312, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.741, scimark_benchmark: 915.9028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8664, kappa: 0.7303, kb_relative_information_score: 1496.0936, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8664, predictive_accuracy: 0.8664, prior_entropy: 0.9934, recall: 0.8664, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6347, scimark_benchmark: 910.1033, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6449, kappa: 0.2818, kb_relative_information_score: 720.5354, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6468, predictive_accuracy: 0.6488, prior_entropy: 0.9934, recall: 0.6488, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1907, scimark_benchmark: 1299.8972, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6449, kappa: 0.2818, kb_relative_information_score: 720.5354, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6468, predictive_accuracy: 0.6488, prior_entropy: 0.9934, recall: 0.6488, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1907, scimark_benchmark: 1322.0065, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6449, kappa: 0.2818, kb_relative_information_score: 720.5354, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6468, predictive_accuracy: 0.6488, prior_entropy: 0.9934, recall: 0.6488, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1907, scimark_benchmark: 1325.8468, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 926.6704, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8747, kappa: 0.747, kb_relative_information_score: 1450.0767, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8747, predictive_accuracy: 0.8748, prior_entropy: 0.9934, recall: 0.8748, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6305, scimark_benchmark: 1325.7874, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1340.9446, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8664, kappa: 0.7303, kb_relative_information_score: 1496.0936, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8664, predictive_accuracy: 0.8664, prior_entropy: 0.9934, recall: 0.8664, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6347, scimark_benchmark: 1292.514, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8371, kappa: 0.6705, kb_relative_information_score: 1516.9816, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8405, predictive_accuracy: 0.8384, prior_entropy: 0.9934, recall: 0.8384, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6543, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6449, kappa: 0.2818, kb_relative_information_score: 720.5354, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6468, predictive_accuracy: 0.6488, prior_entropy: 0.9934, recall: 0.6488, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.1907, scimark_benchmark: 1351.1238, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8371, kappa: 0.6705, kb_relative_information_score: 1516.9816, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8405, predictive_accuracy: 0.8384, prior_entropy: 0.9934, recall: 0.8384, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6543, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6604, kappa: 0.3139, kb_relative_information_score: 615.3779, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6602, predictive_accuracy: 0.6608, prior_entropy: 0.9934, recall: 0.6608, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9564, scimark_benchmark: 1309.2287, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1316.6799, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8371, kappa: 0.6705, kb_relative_information_score: 1516.9816, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8405, predictive_accuracy: 0.8384, prior_entropy: 0.9934, recall: 0.8384, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6543, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1374.9737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1346.4374, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8747, kappa: 0.747, kb_relative_information_score: 1450.0767, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8747, predictive_accuracy: 0.8748, prior_entropy: 0.9934, recall: 0.8748, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6305, scimark_benchmark: 1342.2845, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8353, kappa: 0.6671, kb_relative_information_score: 1552.6922, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8354, predictive_accuracy: 0.8356, prior_entropy: 0.9934, recall: 0.8356, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7288, scimark_benchmark: 1317.6232, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8363, kappa: 0.6691, kb_relative_information_score: 792.4365, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8368, predictive_accuracy: 0.8368, prior_entropy: 0.9934, recall: 0.8368, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7776, scimark_benchmark: 1354.5533, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.6289, kappa: 0.2512, kb_relative_information_score: 600.9844, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.629, predictive_accuracy: 0.6288, prior_entropy: 0.9934, recall: 0.6288, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5756, root_relative_squared_error: 1.1566, scimark_benchmark: 1319.5773, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8557, kappa: 0.7083, kb_relative_information_score: 1586.866, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9934, recall: 0.856, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6745, scimark_benchmark: 1325.3966, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8509, kappa: 0.6994, kb_relative_information_score: 1648.6416, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8512, predictive_accuracy: 0.8508, prior_entropy: 0.9934, recall: 0.8508, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7052, scimark_benchmark: 1342.2845, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8371, kappa: 0.6705, kb_relative_information_score: 1516.9816, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8405, predictive_accuracy: 0.8384, prior_entropy: 0.9934, recall: 0.8384, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6543, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1314.1215, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8387, kappa: 0.6737, kb_relative_information_score: 1529.9476, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6504, scimark_benchmark: 1338.6409, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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