Task
Supervised Classification on waveform-5000

Supervised Classification on waveform-5000

Task 1822 Supervised Classification waveform-5000 323 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7459, kappa: 0.6192, kb_relative_information_score: 14975.3893, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7459, predictive_accuracy: 0.7461, prior_entropy: 1.5849, recall: 0.7461, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.783, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.7929, kappa: 0.6898, kb_relative_information_score: 16574.0861, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.793, predictive_accuracy: 0.7932, prior_entropy: 1.5849, recall: 0.7932, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.659, scimark_benchmark: 851.2074, usercpu_time_millis: 6420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8152, kappa: 0.7234, kb_relative_information_score: 16195.1614, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8156, predictive_accuracy: 0.8156, prior_entropy: 1.5849, recall: 0.8156, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.294, root_relative_squared_error: 0.6237, scimark_benchmark: 941.6675, usercpu_time_millis: 1580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8484, kappa: 0.7736, kb_relative_information_score: 16089.0868, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8499, predictive_accuracy: 0.849, prior_entropy: 1.5849, recall: 0.849, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5973, scimark_benchmark: 931.771, usercpu_time_millis: 3960, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 3680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8618, kappa: 0.7933, kb_relative_information_score: 20287.718, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8628, predictive_accuracy: 0.8622, prior_entropy: 1.5849, recall: 0.8622, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.643, scimark_benchmark: 941.3847, usercpu_time_millis: 23340, usercpu_time_millis_testing: 11860, usercpu_time_millis_training: 11480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.786, kappa: 0.6968, kb_relative_information_score: 18020.3247, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.829, predictive_accuracy: 0.7976, prior_entropy: 1.5849, recall: 0.7976, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.714, scimark_benchmark: 941.3847, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 974.2014, usercpu_time_millis: 330, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 974.2014, usercpu_time_millis: 260, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7904, kappa: 0.6872, kb_relative_information_score: 17062.0807, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7922, predictive_accuracy: 0.7914, prior_entropy: 1.5849, recall: 0.7914, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6907, scimark_benchmark: 943.1009, usercpu_time_millis: 11710, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 11620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8484, kappa: 0.7736, kb_relative_information_score: 16089.0868, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8499, predictive_accuracy: 0.849, prior_entropy: 1.5849, recall: 0.849, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5973, scimark_benchmark: 943.1009, usercpu_time_millis: 4250, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 3850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7459, kappa: 0.6192, kb_relative_information_score: 14975.3893, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7459, predictive_accuracy: 0.7461, prior_entropy: 1.5849, recall: 0.7461, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.783, scimark_benchmark: 819.5729, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.7929, kappa: 0.6898, kb_relative_information_score: 16574.0861, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.793, predictive_accuracy: 0.7932, prior_entropy: 1.5849, recall: 0.7932, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.659, scimark_benchmark: 608.4057, usercpu_time_millis: 7110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8618, kappa: 0.7933, kb_relative_information_score: 20287.718, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8628, predictive_accuracy: 0.8622, prior_entropy: 1.5849, recall: 0.8622, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.643, scimark_benchmark: 930.404, usercpu_time_millis: 20870, usercpu_time_millis_testing: 11280, usercpu_time_millis_training: 9590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 938.1282, usercpu_time_millis: 250, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 930.404, usercpu_time_millis: 260, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8152, kappa: 0.7234, kb_relative_information_score: 16195.1614, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8156, predictive_accuracy: 0.8156, prior_entropy: 1.5849, recall: 0.8156, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.294, root_relative_squared_error: 0.6237, scimark_benchmark: 933.3455, usercpu_time_millis: 1640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 945.6228, usercpu_time_millis: 250, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7904, kappa: 0.6872, kb_relative_information_score: 17062.0807, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7922, predictive_accuracy: 0.7914, prior_entropy: 1.5849, recall: 0.7914, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6907, scimark_benchmark: 1051.249, usercpu_time_millis: 23830, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 23550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8484, kappa: 0.7736, kb_relative_information_score: 16089.0868, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8499, predictive_accuracy: 0.849, prior_entropy: 1.5849, recall: 0.849, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5973, scimark_benchmark: 936.9595, usercpu_time_millis: 3980, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 3720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8633, kappa: 0.7958, kb_relative_information_score: 16970.3379, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8651, predictive_accuracy: 0.8638, prior_entropy: 1.5849, recall: 0.8638, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.267, root_relative_squared_error: 0.5665, scimark_benchmark: 938.4601, usercpu_time_millis: 175690, usercpu_time_millis_testing: 53160, usercpu_time_millis_training: 122530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8593, kappa: 0.7898, kb_relative_information_score: 16967.7247, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.861, predictive_accuracy: 0.8598, prior_entropy: 1.5849, recall: 0.8598, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5686, scimark_benchmark: 901.6243, usercpu_time_millis: 100410, usercpu_time_millis_testing: 26630, usercpu_time_millis_training: 73780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.8563, kappa: 0.7853, kb_relative_information_score: 16963.271, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8578, predictive_accuracy: 0.8568, prior_entropy: 1.5849, recall: 0.8568, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5721, scimark_benchmark: 917.2109, usercpu_time_millis: 41750, usercpu_time_millis_testing: 9190, usercpu_time_millis_training: 32560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8496, kappa: 0.7752, kb_relative_information_score: 16896.7577, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8509, predictive_accuracy: 0.8501, prior_entropy: 1.5849, recall: 0.8501, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5819, scimark_benchmark: 899.0468, usercpu_time_millis: 16320, usercpu_time_millis_testing: 2160, usercpu_time_millis_training: 14160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8348, kappa: 0.7528, kb_relative_information_score: 16735.9142, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8353, predictive_accuracy: 0.8352, prior_entropy: 1.5849, recall: 0.8352, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.6012, scimark_benchmark: 926.5859, usercpu_time_millis: 9630, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 8550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.7707, kappa: 0.6569, kb_relative_information_score: 14621.7029, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7711, predictive_accuracy: 0.7712, prior_entropy: 1.5849, recall: 0.7712, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.683, scimark_benchmark: 936.1714, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.688, kappa: 0.5589, kb_relative_information_score: 6895.4273, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7296, predictive_accuracy: 0.7054, prior_entropy: 1.5849, recall: 0.7054, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8438, scimark_benchmark: 938.3115, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.688, kappa: 0.5589, kb_relative_information_score: 6895.4273, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7296, predictive_accuracy: 0.7054, prior_entropy: 1.5849, recall: 0.7054, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8438, scimark_benchmark: 936.1714, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.6706, kappa: 0.5419, kb_relative_information_score: 7591.925, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7278, predictive_accuracy: 0.694, prior_entropy: 1.5849, recall: 0.694, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8384, scimark_benchmark: 940.0055, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.624, kappa: 0.4919, kb_relative_information_score: 10479.3155, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6962, predictive_accuracy: 0.6604, prior_entropy: 1.5849, recall: 0.6604, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8077, scimark_benchmark: 938.3115, usercpu_time_millis: 1030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.5232, kappa: 0.4009, kb_relative_information_score: 7848.9199, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6398, predictive_accuracy: 0.5993, prior_entropy: 1.5849, recall: 0.5993, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8632, scimark_benchmark: 935.6052, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1711, kb_relative_information_score: 2296.6634, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4089, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.7755, kappa: 0.6635, kb_relative_information_score: 16551.5926, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7755, predictive_accuracy: 0.7756, prior_entropy: 1.5849, recall: 0.7756, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6913, scimark_benchmark: 926.5859, usercpu_time_millis: 1180, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8084, kappa: 0.7134, kb_relative_information_score: 13498.6539, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8092, predictive_accuracy: 0.8089, prior_entropy: 1.5849, recall: 0.8089, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6837, scimark_benchmark: 931.7994, usercpu_time_millis: 35350, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 35250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1333.202, usercpu_time_millis: 170, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1375.1578, usercpu_time_millis: 170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1340.9749, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8618, kappa: 0.7933, kb_relative_information_score: 20287.718, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8628, predictive_accuracy: 0.8622, prior_entropy: 1.5849, recall: 0.8622, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.643, scimark_benchmark: 1306.9281, usercpu_time_millis: 29360, usercpu_time_millis_testing: 16950, usercpu_time_millis_training: 12410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1366.7181, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1306.9281, usercpu_time_millis: 190, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8152, kappa: 0.7234, kb_relative_information_score: 16195.1614, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8156, predictive_accuracy: 0.8156, prior_entropy: 1.5849, recall: 0.8156, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.294, root_relative_squared_error: 0.6237, scimark_benchmark: 1350.2591, usercpu_time_millis: 1790, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8484, kappa: 0.7736, kb_relative_information_score: 16089.0868, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8499, predictive_accuracy: 0.849, prior_entropy: 1.5849, recall: 0.849, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5973, scimark_benchmark: 1331.7953, usercpu_time_millis: 4180, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 3730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7459, kappa: 0.6192, kb_relative_information_score: 14975.3893, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7459, predictive_accuracy: 0.7461, prior_entropy: 1.5849, recall: 0.7461, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.783, scimark_benchmark: 1333.6736, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8618, kappa: 0.7933, kb_relative_information_score: 20287.718, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8628, predictive_accuracy: 0.8622, prior_entropy: 1.5849, recall: 0.8622, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.643, scimark_benchmark: 1318.4315, usercpu_time_millis: 17670, usercpu_time_millis_testing: 8460, usercpu_time_millis_training: 9210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.786, kappa: 0.6968, kb_relative_information_score: 18020.3247, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.829, predictive_accuracy: 0.7976, prior_entropy: 1.5849, recall: 0.7976, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.714, scimark_benchmark: 1319.4538, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1319.4538, usercpu_time_millis: 170, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8152, kappa: 0.7234, kb_relative_information_score: 16195.1614, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8156, predictive_accuracy: 0.8156, prior_entropy: 1.5849, recall: 0.8156, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.294, root_relative_squared_error: 0.6237, scimark_benchmark: 1337.9552, usercpu_time_millis: 1340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1306.9281, usercpu_time_millis: 170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7459, kappa: 0.6192, kb_relative_information_score: 14975.3893, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7459, predictive_accuracy: 0.7461, prior_entropy: 1.5849, recall: 0.7461, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.783, scimark_benchmark: 1306.9281, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.786, kappa: 0.6968, kb_relative_information_score: 18020.3247, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.829, predictive_accuracy: 0.7976, prior_entropy: 1.5849, recall: 0.7976, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.714, scimark_benchmark: 1323.5075, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1317.5857, usercpu_time_millis: 190, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1338.5214, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1321.8321, usercpu_time_millis: 170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1317.6232, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7904, kappa: 0.6872, kb_relative_information_score: 17062.0807, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7922, predictive_accuracy: 0.7914, prior_entropy: 1.5849, recall: 0.7914, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6907, scimark_benchmark: 1350.8432, usercpu_time_millis: 15060, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 14820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8484, kappa: 0.7736, kb_relative_information_score: 16089.0868, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8499, predictive_accuracy: 0.849, prior_entropy: 1.5849, recall: 0.849, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5973, scimark_benchmark: 1320.8283, usercpu_time_millis: 3810, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 3460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.7929, kappa: 0.6898, kb_relative_information_score: 16574.0861, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.793, predictive_accuracy: 0.7932, prior_entropy: 1.5849, recall: 0.7932, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.659, scimark_benchmark: 1336.0954, usercpu_time_millis: 4430, usercpu_time_millis_training: 4430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8618, kappa: 0.7933, kb_relative_information_score: 20287.718, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8628, predictive_accuracy: 0.8622, prior_entropy: 1.5849, recall: 0.8622, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.643, scimark_benchmark: 1342.8584, usercpu_time_millis: 31810, usercpu_time_millis_testing: 17980, usercpu_time_millis_training: 13830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8618, kappa: 0.7933, kb_relative_information_score: 20287.718, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8628, predictive_accuracy: 0.8622, prior_entropy: 1.5849, recall: 0.8622, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.643, scimark_benchmark: 1352.3373, usercpu_time_millis: 27770, usercpu_time_millis_testing: 15570, usercpu_time_millis_training: 12200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1354.7111, usercpu_time_millis: 200, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1292.1745, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1375.1578, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1319.688, usercpu_time_millis: 200, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8416, kappa: 0.7636, kb_relative_information_score: 18915.8791, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8437, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5767, scimark_benchmark: 1316.7198, usercpu_time_millis: 170, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 60,

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

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From your own software

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

OpenML APIs