OpenML
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: 0.965, 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: 1297.1534, usercpu_time_millis: 170, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, 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: 1316.7198, usercpu_time_millis: 14960, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 14730,
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: 1333.202, usercpu_time_millis: 3510, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 3180,
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: 1352.06, usercpu_time_millis: 25360, usercpu_time_millis_testing: 11200, usercpu_time_millis_training: 14160,
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: 1354.3488, 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: 1347.993, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, 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: 1260.1387, usercpu_time_millis: 3570, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 3110,
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: 1322.7257, 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: 1347.993, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, 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: 940.3347, usercpu_time_millis: 12850, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 12760,
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: 1322.7257, usercpu_time_millis: 3580, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 3140,
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: 938.0414, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
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: 1288.1375, usercpu_time_millis: 180, usercpu_time_millis_testing: 100, 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: 1288.1375, usercpu_time_millis: 180, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 80,
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: 1347.993, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
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: 1345.7204, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, 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: 1360.6585, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, 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: 1315.933, usercpu_time_millis: 3760, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 3510,
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: 1342.6911, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, 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: 933.1165, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, 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: 1343.2125, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8354, kappa: 0.7533, kb_relative_information_score: 18878.7345, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8354, predictive_accuracy: 0.8356, prior_entropy: 1.5849, recall: 0.8356, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.6035, scimark_benchmark: 1357.5655, usercpu_time_millis: 15400, usercpu_time_millis_training: 15400,
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: 1064.8317, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
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: 1339.8573, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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: 1350.2369, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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: 1342.6911, usercpu_time_millis: 4370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7533, kappa: 0.6308, kb_relative_information_score: 15418.4198, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7536, predictive_accuracy: 0.7538, prior_entropy: 1.5849, recall: 0.7538, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.8102, scimark_benchmark: 1357.483, usercpu_time_millis: 2450, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8412, kappa: 0.7637, kb_relative_information_score: 14726.1155, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8453, predictive_accuracy: 0.8424, prior_entropy: 1.5849, recall: 0.8424, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6327, scimark_benchmark: 1347.5461, usercpu_time_millis: 14300, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 13570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.84, kappa: 0.7619, kb_relative_information_score: 14706.4936, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8442, predictive_accuracy: 0.8412, prior_entropy: 1.5849, recall: 0.8412, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6339, scimark_benchmark: 1345.7582, usercpu_time_millis: 7130, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 6760,
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: 1327.035, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7585, kappa: 0.6378, kb_relative_information_score: 16543.8675, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7584, predictive_accuracy: 0.7585, prior_entropy: 1.5849, recall: 0.7585, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.8307, scimark_benchmark: 916.5769, usercpu_time_millis: 790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.6627, kappa: 0.4993, kb_relative_information_score: 13579.3491, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6888, predictive_accuracy: 0.6666, prior_entropy: 1.5849, recall: 0.6666, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001, scimark_benchmark: 1359.7347, usercpu_time_millis: 23440, usercpu_time_millis_testing: 11660, usercpu_time_millis_training: 11780,
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: 1314.9535, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8196, kappa: 0.7299, kb_relative_information_score: 18573.3061, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8198, predictive_accuracy: 0.8199, prior_entropy: 1.5849, recall: 0.8199, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6908, scimark_benchmark: 1347.388, usercpu_time_millis: 500, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 480,
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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: 1331.2332, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.4246, kappa: 0.2212, kb_relative_information_score: 478.2448, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6121, predictive_accuracy: 0.4833, prior_entropy: 1.5849, recall: 0.4833, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9898, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.788, kappa: 0.7005, kb_relative_information_score: 18133.8861, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8345, predictive_accuracy: 0.8, prior_entropy: 1.5849, recall: 0.8, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7146, scimark_benchmark: 912.5006, usercpu_time_millis: 280, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8184, kappa: 0.7292, kb_relative_information_score: 14697.6487, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8208, predictive_accuracy: 0.8194, prior_entropy: 1.5849, recall: 0.8194, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6451, scimark_benchmark: 938.9967, usercpu_time_millis: 1050, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8385, kappa: 0.7578, kb_relative_information_score: 18745.146, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8385, predictive_accuracy: 0.8386, prior_entropy: 1.5849, recall: 0.8386, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.5896, scimark_benchmark: 1331.6907, usercpu_time_millis: 9890, usercpu_time_millis_training: 9890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8392, kappa: 0.7589, kb_relative_information_score: 18521.759, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8392, predictive_accuracy: 0.8393, prior_entropy: 1.5849, recall: 0.8393, relative_absolute_error: 0.3053, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.275, root_relative_squared_error: 0.5833, scimark_benchmark: 1028.5889, usercpu_time_millis: 5890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8384, kappa: 0.7578, kb_relative_information_score: 18245.1834, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8384, predictive_accuracy: 0.8385, prior_entropy: 1.5849, recall: 0.8385, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5811, scimark_benchmark: 940.0008, usercpu_time_millis: 2560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8286, kappa: 0.7433, kb_relative_information_score: 17519.0124, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8288, predictive_accuracy: 0.8288, prior_entropy: 1.5849, recall: 0.8288, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.597, scimark_benchmark: 1404.1865, usercpu_time_millis: 1220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1210,
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: 929.0363, usercpu_time_millis: 1580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7674, kappa: 0.6515, kb_relative_information_score: 16674.0152, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7674, predictive_accuracy: 0.7677, prior_entropy: 1.5849, recall: 0.7677, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7942, scimark_benchmark: 869.6028, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
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: 918.6005, usercpu_time_millis: 530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 520,
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: 932.0242, 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: 1304.9611, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.6866, kappa: 0.5581, kb_relative_information_score: 6818.0419, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7318, predictive_accuracy: 0.7048, prior_entropy: 1.5849, recall: 0.7048, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8456, scimark_benchmark: 889.3151, usercpu_time_millis: 500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.6659, kappa: 0.5176, kb_relative_information_score: 5760.9267, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6841, predictive_accuracy: 0.6779, prior_entropy: 1.5849, recall: 0.6779, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8714, scimark_benchmark: 1304.6687, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.7855, kappa: 0.6785, kb_relative_information_score: 15873.3788, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7855, predictive_accuracy: 0.7857, prior_entropy: 1.5849, recall: 0.7857, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6696, scimark_benchmark: 924.3698, usercpu_time_millis: 11450, usercpu_time_millis_testing: 11450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.768, kappa: 0.6521, kb_relative_information_score: 15644.3161, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7679, predictive_accuracy: 0.768, prior_entropy: 1.5849, recall: 0.768, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.335, root_relative_squared_error: 0.7106, scimark_benchmark: 854.5188, usercpu_time_millis: 10970, usercpu_time_millis_testing: 10970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8331, kappa: 0.7571, kb_relative_information_score: 13234.198, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8564, predictive_accuracy: 0.8379, prior_entropy: 1.5849, recall: 0.8379, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.704, scimark_benchmark: 1372.2145, usercpu_time_millis: 36330, usercpu_time_millis_testing: 7920, usercpu_time_millis_training: 28410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8597, kappa: 0.7899, kb_relative_information_score: 13572.4864, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8602, predictive_accuracy: 0.8599, prior_entropy: 1.5849, recall: 0.8599, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6881, scimark_benchmark: 939.449, usercpu_time_millis: 610, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.8673, kappa: 0.8014, kb_relative_information_score: 18800.4289, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8677, predictive_accuracy: 0.8676, prior_entropy: 1.5849, recall: 0.8676, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5366, scimark_benchmark: 1318.1432, usercpu_time_millis: 2540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8639, kappa: 0.7959, kb_relative_information_score: 20345.5882, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 1.5849, recall: 0.864, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6389, scimark_benchmark: 916.9356, usercpu_time_millis: 3620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8444, kappa: 0.7674, kb_relative_information_score: 18937.0011, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8454, predictive_accuracy: 0.8449, prior_entropy: 1.5849, recall: 0.8449, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5696, scimark_benchmark: 1368.9272, usercpu_time_millis: 4080, usercpu_time_millis_testing: 3570, usercpu_time_millis_training: 510,
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: 1315.3881, usercpu_time_millis: 15160, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 14930,
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: 1301.9956, usercpu_time_millis: 4450, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 4070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7142, kappa: 0.5715, kb_relative_information_score: 15226.1458, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7142, predictive_accuracy: 0.7144, prior_entropy: 1.5849, recall: 0.7144, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9257, scimark_benchmark: 1319.9043, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.7578, kappa: 0.6373, kb_relative_information_score: 15306.3862, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7581, predictive_accuracy: 0.7582, prior_entropy: 1.5849, recall: 0.7582, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7422, scimark_benchmark: 1073.494, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.7611, kappa: 0.6425, kb_relative_information_score: 15036.1343, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7614, predictive_accuracy: 0.7616, prior_entropy: 1.5849, recall: 0.7616, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.748, scimark_benchmark: 1321.6263, usercpu_time_millis: 2490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2480,
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: 1368.9272, usercpu_time_millis: 11350, usercpu_time_millis_testing: 2170, usercpu_time_millis_training: 9180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7651, kappa: 0.6476, kb_relative_information_score: 16891.7627, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7652, predictive_accuracy: 0.7651, prior_entropy: 1.5849, recall: 0.7651, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7828, scimark_benchmark: 1465.2979, usercpu_time_millis: 2540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.5166, kappa: 0.2858, kb_relative_information_score: 8710.4287, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.5131, predictive_accuracy: 0.5236, prior_entropy: 1.5849, recall: 0.5236, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1955, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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