Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 1778 Supervised Classification mfeat-fourier 305 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

305 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.6948, kappa: 0.663, kb_relative_information_score: 0.6876, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.18, weighted_recall: 0.6967, number_of_instances: 10000, precision: 0.6934, predictive_accuracy: 0.6967, prior_entropy: 3.3219, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.8084, scimark_benchmark: 1015.7068, unweighted_recall: 0.6967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.6746, kappa: 0.6397, kb_relative_information_score: 6670.4434, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.674, predictive_accuracy: 0.6757, prior_entropy: 3.3219, recall: 0.6757, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.7885, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.7267, kappa: 0.7029, kb_relative_information_score: 7078.79, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7252, predictive_accuracy: 0.7326, prior_entropy: 3.3219, recall: 0.7326, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6385, scimark_benchmark: 851.2074, usercpu_time_millis: 8890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7537, kappa: 0.7261, kb_relative_information_score: 7422.2078, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7631, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, scimark_benchmark: 941.6675, usercpu_time_millis: 15690, usercpu_time_millis_testing: 7490, usercpu_time_millis_training: 8200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 941.6675, usercpu_time_millis: 490, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 941.6675, usercpu_time_millis: 540, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.7721, kappa: 0.7481, kb_relative_information_score: 7564.3449, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7735, predictive_accuracy: 0.7733, prior_entropy: 3.3219, recall: 0.7733, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5829, scimark_benchmark: 941.6675, usercpu_time_millis: 1510, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8234, kappa: 0.8053, kb_relative_information_score: 7239.1676, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8233, predictive_accuracy: 0.8248, prior_entropy: 3.3219, recall: 0.8248, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5793, scimark_benchmark: 931.771, usercpu_time_millis: 1980, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7537, kappa: 0.7261, kb_relative_information_score: 7422.2078, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7631, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, scimark_benchmark: 937.5117, usercpu_time_millis: 12680, usercpu_time_millis_testing: 7870, usercpu_time_millis_training: 4810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 941.3847, usercpu_time_millis: 480, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.6487, kappa: 0.6096, kb_relative_information_score: 6128.1819, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6498, predictive_accuracy: 0.6486, prior_entropy: 3.3219, recall: 0.6486, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7744, scimark_benchmark: 938.5498, usercpu_time_millis: 174590, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 174050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8234, kappa: 0.8053, kb_relative_information_score: 7239.1676, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8233, predictive_accuracy: 0.8248, prior_entropy: 3.3219, recall: 0.8248, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5793, scimark_benchmark: 943.1009, usercpu_time_millis: 2100, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.7267, kappa: 0.7029, kb_relative_information_score: 7078.79, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7252, predictive_accuracy: 0.7326, prior_entropy: 3.3219, recall: 0.7326, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6385, scimark_benchmark: 608.4057, usercpu_time_millis: 9310, usercpu_time_millis_training: 9310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7537, kappa: 0.7261, kb_relative_information_score: 7422.2078, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7631, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, scimark_benchmark: 927.2882, usercpu_time_millis: 12300, usercpu_time_millis_testing: 6310, usercpu_time_millis_training: 5990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 938.1282, usercpu_time_millis: 590, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 933.3455, usercpu_time_millis: 460, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.7721, kappa: 0.7481, kb_relative_information_score: 7564.3449, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7735, predictive_accuracy: 0.7733, prior_entropy: 3.3219, recall: 0.7733, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5829, scimark_benchmark: 933.3455, usercpu_time_millis: 1320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 932.438, usercpu_time_millis: 670, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.6487, kappa: 0.6096, kb_relative_information_score: 6128.1819, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6498, predictive_accuracy: 0.6486, prior_entropy: 3.3219, recall: 0.6486, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7744, scimark_benchmark: 941.4991, usercpu_time_millis: 144560, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 144030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8234, kappa: 0.8053, kb_relative_information_score: 7239.1676, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8233, predictive_accuracy: 0.8248, prior_entropy: 3.3219, recall: 0.8248, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5793, scimark_benchmark: 936.9595, usercpu_time_millis: 2080, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8304, kappa: 0.8126, kb_relative_information_score: 7565.5312, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8308, predictive_accuracy: 0.8313, prior_entropy: 3.3219, recall: 0.8313, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.164, root_relative_squared_error: 0.5468, scimark_benchmark: 919.9068, usercpu_time_millis: 168090, usercpu_time_millis_testing: 46510, usercpu_time_millis_training: 121580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.832, kappa: 0.8142, kb_relative_information_score: 7572.4767, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8326, predictive_accuracy: 0.8328, prior_entropy: 3.3219, recall: 0.8328, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.5484, scimark_benchmark: 931.9419, usercpu_time_millis: 71440, usercpu_time_millis_testing: 17500, usercpu_time_millis_training: 53940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8262, kappa: 0.8078, kb_relative_information_score: 7560.0273, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8266, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.5524, scimark_benchmark: 917.2109, usercpu_time_millis: 34190, usercpu_time_millis_testing: 8260, usercpu_time_millis_training: 25930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8215, kappa: 0.8027, kb_relative_information_score: 7522.2688, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8216, predictive_accuracy: 0.8224, prior_entropy: 3.3219, recall: 0.8224, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.5619, scimark_benchmark: 935.0213, usercpu_time_millis: 16890, usercpu_time_millis_testing: 3600, usercpu_time_millis_training: 13290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.7997, kappa: 0.7782, kb_relative_information_score: 7430.4998, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7997, predictive_accuracy: 0.8004, prior_entropy: 3.3219, recall: 0.8004, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5826, scimark_benchmark: 936.7184, usercpu_time_millis: 8200, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 7210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 936.1714, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.0837, kappa: 0.1081, kb_relative_information_score: 2394.0201, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0576, predictive_accuracy: 0.1973, prior_entropy: 3.3219, recall: 0.1973, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.959, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.0837, kappa: 0.1081, kb_relative_information_score: 2394.0201, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0576, predictive_accuracy: 0.1973, prior_entropy: 3.3219, recall: 0.1973, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.959, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.0837, kappa: 0.1081, kb_relative_information_score: 2394.0201, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0576, predictive_accuracy: 0.1973, prior_entropy: 3.3219, recall: 0.1973, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.959, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.0837, kappa: 0.1081, kb_relative_information_score: 2394.0201, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0576, predictive_accuracy: 0.1973, prior_entropy: 3.3219, recall: 0.1973, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.959, scimark_benchmark: 938.3115, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.0837, kappa: 0.1081, kb_relative_information_score: 2394.0201, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0576, predictive_accuracy: 0.1973, prior_entropy: 3.3219, recall: 0.1973, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.959, scimark_benchmark: 935.6052, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 588.1826, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8018, kappa: 0.7798, kb_relative_information_score: 7798.1086, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8024, predictive_accuracy: 0.8018, prior_entropy: 3.3219, recall: 0.8018, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.5605, scimark_benchmark: 926.5859, usercpu_time_millis: 6520, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 6250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.7963, kappa: 0.7747, kb_relative_information_score: 7140.0133, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7966, predictive_accuracy: 0.7972, prior_entropy: 3.3219, recall: 0.7972, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5978, scimark_benchmark: 933.0918, usercpu_time_millis: 41730, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 41620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.3323, kappa: 0.3383, kb_relative_information_score: 2332.9736, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.4155, predictive_accuracy: 0.4045, prior_entropy: 3.3219, recall: 0.4045, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.9419, scimark_benchmark: 931.7994, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.6746, kappa: 0.6397, kb_relative_information_score: 6670.4434, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.674, predictive_accuracy: 0.6757, prior_entropy: 3.3219, recall: 0.6757, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.7885, scimark_benchmark: 899.1108, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.7267, kappa: 0.7029, kb_relative_information_score: 7078.79, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7252, predictive_accuracy: 0.7326, prior_entropy: 3.3219, recall: 0.7326, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6385, scimark_benchmark: 941.6062, usercpu_time_millis: 7440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7537, kappa: 0.7261, kb_relative_information_score: 7422.2078, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7631, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, scimark_benchmark: 890.5596, usercpu_time_millis: 4730, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 2920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.7621, kappa: 0.7363, kb_relative_information_score: 7739.0414, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7657, predictive_accuracy: 0.7627, prior_entropy: 3.3219, recall: 0.7627, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.6554, scimark_benchmark: 922.5036, usercpu_time_millis: 230, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 945.0194, usercpu_time_millis: 500, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 945.0194, usercpu_time_millis: 530, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 945.0194, usercpu_time_millis: 540, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 922.5036, usercpu_time_millis: 520, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.7721, kappa: 0.7481, kb_relative_information_score: 7564.3449, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7735, predictive_accuracy: 0.7733, prior_entropy: 3.3219, recall: 0.7733, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5829, scimark_benchmark: 946.9304, usercpu_time_millis: 1280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 942.3809, usercpu_time_millis: 540, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.6487, kappa: 0.6096, kb_relative_information_score: 6128.1819, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6498, predictive_accuracy: 0.6486, prior_entropy: 3.3219, recall: 0.6486, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7744, scimark_benchmark: 928.8135, usercpu_time_millis: 147380, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 146850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8234, kappa: 0.8053, kb_relative_information_score: 7239.1676, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8233, predictive_accuracy: 0.8248, prior_entropy: 3.3219, recall: 0.8248, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5793, scimark_benchmark: 935.627, usercpu_time_millis: 2190, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.6746, kappa: 0.6397, kb_relative_information_score: 6670.4434, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.674, predictive_accuracy: 0.6757, prior_entropy: 3.3219, recall: 0.6757, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.7885, scimark_benchmark: 933.4598, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7537, kappa: 0.7261, kb_relative_information_score: 7422.2078, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7631, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, scimark_benchmark: 1346.6261, usercpu_time_millis: 7030, usercpu_time_millis_testing: 3050, usercpu_time_millis_training: 3980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.7721, kappa: 0.7481, kb_relative_information_score: 7564.3449, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7735, predictive_accuracy: 0.7733, prior_entropy: 3.3219, recall: 0.7733, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5829, scimark_benchmark: 1327.5842, usercpu_time_millis: 1280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.6746, kappa: 0.6397, kb_relative_information_score: 6670.4434, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.674, predictive_accuracy: 0.6757, prior_entropy: 3.3219, recall: 0.6757, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.7885, scimark_benchmark: 1342.8632, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.7621, kappa: 0.7363, kb_relative_information_score: 7739.0414, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7657, predictive_accuracy: 0.7627, prior_entropy: 3.3219, recall: 0.7627, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.6554, scimark_benchmark: 1342.8632, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1342.8632, usercpu_time_millis: 500, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1324.7884, usercpu_time_millis: 380, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8234, kappa: 0.8053, kb_relative_information_score: 7239.1676, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8233, predictive_accuracy: 0.8248, prior_entropy: 3.3219, recall: 0.8248, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5793, scimark_benchmark: 1325.7874, usercpu_time_millis: 1920, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.6746, kappa: 0.6397, kb_relative_information_score: 6670.4434, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.674, predictive_accuracy: 0.6757, prior_entropy: 3.3219, recall: 0.6757, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.7885, scimark_benchmark: 1353.0836, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7537, kappa: 0.7261, kb_relative_information_score: 7422.2078, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7631, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, scimark_benchmark: 1340.6048, usercpu_time_millis: 13140, usercpu_time_millis_testing: 9390, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7537, kappa: 0.7261, kb_relative_information_score: 7422.2078, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7631, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, scimark_benchmark: 1336.0954, usercpu_time_millis: 9920, usercpu_time_millis_testing: 5990, usercpu_time_millis_training: 3930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1362.9924, usercpu_time_millis: 380, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 908.2231, usercpu_time_millis: 520, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1393.8432, usercpu_time_millis: 370, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1303.5632, usercpu_time_millis: 370, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.6746, kappa: 0.6397, kb_relative_information_score: 6670.4434, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.674, predictive_accuracy: 0.6757, prior_entropy: 3.3219, recall: 0.6757, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.7885, scimark_benchmark: 1332.9478, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.7621, kappa: 0.7363, kb_relative_information_score: 7739.0414, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7657, predictive_accuracy: 0.7627, prior_entropy: 3.3219, recall: 0.7627, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.6554, scimark_benchmark: 1333.202, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1375.1578, usercpu_time_millis: 340, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1324.7884, usercpu_time_millis: 380, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1324.7884, usercpu_time_millis: 380, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.6487, kappa: 0.6096, kb_relative_information_score: 6128.1819, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6498, predictive_accuracy: 0.6486, prior_entropy: 3.3219, recall: 0.6486, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7744, scimark_benchmark: 1342.6744, usercpu_time_millis: 212110, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 210310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.6746, kappa: 0.6397, kb_relative_information_score: 6670.4434, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.674, predictive_accuracy: 0.6757, prior_entropy: 3.3219, recall: 0.6757, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.7885, scimark_benchmark: 1296.8947, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7537, kappa: 0.7261, kb_relative_information_score: 7422.2078, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7631, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, scimark_benchmark: 1317.5857, usercpu_time_millis: 10610, usercpu_time_millis_testing: 7390, usercpu_time_millis_training: 3220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.7621, kappa: 0.7363, kb_relative_information_score: 7739.0414, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7657, predictive_accuracy: 0.7627, prior_entropy: 3.3219, recall: 0.7627, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.6554, scimark_benchmark: 1350.2591, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.7721, kappa: 0.7481, kb_relative_information_score: 7564.3449, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7735, predictive_accuracy: 0.7733, prior_entropy: 3.3219, recall: 0.7733, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5829, scimark_benchmark: 1350.2591, usercpu_time_millis: 1420, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.6746, kappa: 0.6397, kb_relative_information_score: 6670.4434, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.674, predictive_accuracy: 0.6757, prior_entropy: 3.3219, recall: 0.6757, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.7885, scimark_benchmark: 1347.1763, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7537, kappa: 0.7261, kb_relative_information_score: 7422.2078, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7631, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, scimark_benchmark: 1347.1763, usercpu_time_millis: 10270, usercpu_time_millis_testing: 6440, usercpu_time_millis_training: 3830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7537, kappa: 0.7261, kb_relative_information_score: 7422.2078, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7631, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, scimark_benchmark: 1318.4315, usercpu_time_millis: 9300, usercpu_time_millis_testing: 6010, usercpu_time_millis_training: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.7621, kappa: 0.7363, kb_relative_information_score: 7739.0414, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7657, predictive_accuracy: 0.7627, prior_entropy: 3.3219, recall: 0.7627, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.6554, scimark_benchmark: 1318.4315, usercpu_time_millis: 190, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1322.3407, usercpu_time_millis: 410, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1316.5668, usercpu_time_millis: 380, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.7621, kappa: 0.7363, kb_relative_information_score: 7739.0414, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7657, predictive_accuracy: 0.7627, prior_entropy: 3.3219, recall: 0.7627, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.6554, scimark_benchmark: 1327.3335, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1325.4787, usercpu_time_millis: 350, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1374.9737, usercpu_time_millis: 370, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1309.2287, usercpu_time_millis: 410, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1313.11, usercpu_time_millis: 360, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1332.7986, usercpu_time_millis: 390, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.6487, kappa: 0.6096, kb_relative_information_score: 6128.1819, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6498, predictive_accuracy: 0.6486, prior_entropy: 3.3219, recall: 0.6486, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7744, scimark_benchmark: 1335.5309, usercpu_time_millis: 199180, usercpu_time_millis_testing: 1780, usercpu_time_millis_training: 197400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.7267, kappa: 0.7029, kb_relative_information_score: 7078.79, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7252, predictive_accuracy: 0.7326, prior_entropy: 3.3219, recall: 0.7326, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6385, scimark_benchmark: 1313.8988, usercpu_time_millis: 6160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7537, kappa: 0.7261, kb_relative_information_score: 7422.2078, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7631, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, scimark_benchmark: 1331.4379, usercpu_time_millis: 15670, usercpu_time_millis_testing: 12340, usercpu_time_millis_training: 3330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1299.6719, usercpu_time_millis: 370, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1336.4701, usercpu_time_millis: 400, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.6487, kappa: 0.6096, kb_relative_information_score: 6128.1819, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6498, predictive_accuracy: 0.6486, prior_entropy: 3.3219, recall: 0.6486, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7744, scimark_benchmark: 1338.7159, usercpu_time_millis: 203730, usercpu_time_millis_testing: 1830, usercpu_time_millis_training: 201900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8234, kappa: 0.8053, kb_relative_information_score: 7239.1676, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8233, predictive_accuracy: 0.8248, prior_entropy: 3.3219, recall: 0.8248, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5793, scimark_benchmark: 1313.9976, usercpu_time_millis: 2260, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 2060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8234, kappa: 0.8053, kb_relative_information_score: 7239.1676, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8233, predictive_accuracy: 0.8248, prior_entropy: 3.3219, recall: 0.8248, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5793, scimark_benchmark: 1371.174, usercpu_time_millis: 2210, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8068, kappa: 0.7863, kb_relative_information_score: 8156.7972, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8075, predictive_accuracy: 0.8077, prior_entropy: 3.3219, recall: 0.8077, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925, scimark_benchmark: 1331.0107, usercpu_time_millis: 330, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.6487, kappa: 0.6096, kb_relative_information_score: 6128.1819, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6498, predictive_accuracy: 0.6486, prior_entropy: 3.3219, recall: 0.6486, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7744, scimark_benchmark: 1373.7859, usercpu_time_millis: 201070, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 199260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8234, kappa: 0.8053, kb_relative_information_score: 7239.1676, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8233, predictive_accuracy: 0.8248, prior_entropy: 3.3219, recall: 0.8248, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5793, scimark_benchmark: 1267.7714, usercpu_time_millis: 2120, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8124, kappa: 0.7922, kb_relative_information_score: 8208.169, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8127, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.5852, scimark_benchmark: 1360.8502, usercpu_time_millis: 53350, usercpu_time_millis_testing: 47780, usercpu_time_millis_training: 5570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.6746, kappa: 0.6397, kb_relative_information_score: 6670.4434, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.674, predictive_accuracy: 0.6757, prior_entropy: 3.3219, recall: 0.6757, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.7885, scimark_benchmark: 1318.3027, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7537, kappa: 0.7261, kb_relative_information_score: 7422.2078, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7631, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.222, root_relative_squared_error: 0.7401, scimark_benchmark: 1327.3335, usercpu_time_millis: 14280, usercpu_time_millis_testing: 10420, usercpu_time_millis_training: 3860,

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