OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 909.6309, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8767, scimark_benchmark: 1725.1284, usercpu_time_millis: 208.653, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 207.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.781, kappa: 0.5582, kb_relative_information_score: 1308.9266, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7815, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8023, scimark_benchmark: 1731.6389, usercpu_time_millis: 91.573, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 90.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.1512, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1711.4951, usercpu_time_millis: 8.771, usercpu_time_millis_testing: 1.362, usercpu_time_millis_training: 7.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0689, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1741.4526, usercpu_time_millis: 8.901, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 7.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1437, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1732.6549, usercpu_time_millis: 6.201, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 5.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1783, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1717.5171, usercpu_time_millis: 5.168, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 4.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7627, kappa: 0.5213, kb_relative_information_score: 1346.6968, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7657, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.811, scimark_benchmark: 1773.9857, usercpu_time_millis: 4264.938, usercpu_time_millis_testing: 1.769, usercpu_time_millis_training: 4263.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7539, kappa: 0.5038, kb_relative_information_score: 1320.081, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8294, scimark_benchmark: 1802.7605, usercpu_time_millis: 3320.938, usercpu_time_millis_testing: 1.832, usercpu_time_millis_training: 3319.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7865, kappa: 0.5692, kb_relative_information_score: 1482.1604, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7868, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7834, scimark_benchmark: 1804.8294, usercpu_time_millis: 3064.651, usercpu_time_millis_testing: 2.705, usercpu_time_millis_training: 3061.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.803, kappa: 0.6026, kb_relative_information_score: 1548.6597, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7632, scimark_benchmark: 1789.6196, usercpu_time_millis: 2227.452, usercpu_time_millis_testing: 4.465, usercpu_time_millis_training: 2222.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.809, kappa: 0.6148, kb_relative_information_score: 1685.8312, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7533, scimark_benchmark: 1794.4174, usercpu_time_millis: 1918.004, usercpu_time_millis_testing: 1.734, usercpu_time_millis_training: 1916.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8047, kappa: 0.6059, kb_relative_information_score: 1642.7544, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7581, scimark_benchmark: 1845.8518, usercpu_time_millis: 10381.314, usercpu_time_millis_testing: 4.79, usercpu_time_millis_training: 10376.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8017, kappa: 0.6, kb_relative_information_score: 1557.2824, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8021, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7664, scimark_benchmark: 1749.1202, usercpu_time_millis: 1777.928, usercpu_time_millis_testing: 2.598, usercpu_time_millis_training: 1775.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8131, kappa: 0.623, kb_relative_information_score: 1559.4813, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8132, predictive_accuracy: 0.8134, prior_entropy: 0.9948, recall: 0.8134, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7563, scimark_benchmark: 1725.3999, usercpu_time_millis: 1663.569, usercpu_time_millis_testing: 5.556, usercpu_time_millis_training: 1658.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7787, kappa: 0.5535, kb_relative_information_score: 1271.8683, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7794, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8069, scimark_benchmark: 1773.5744, usercpu_time_millis: 1428.726, usercpu_time_millis_testing: 2.953, usercpu_time_millis_training: 1425.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7597, kappa: 0.5153, kb_relative_information_score: 1158.1979, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7635, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8306, scimark_benchmark: 1766.9026, usercpu_time_millis: 1005.936, usercpu_time_millis_testing: 2.125, usercpu_time_millis_training: 1003.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7803, kappa: 0.5567, kb_relative_information_score: 1242.5262, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8056, scimark_benchmark: 1722.7651, usercpu_time_millis: 820.09, usercpu_time_millis_testing: 3.027, usercpu_time_millis_training: 817.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7521, kappa: 0.4999, kb_relative_information_score: 1167.0551, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8426, scimark_benchmark: 1722.4287, usercpu_time_millis: 807.613, usercpu_time_millis_testing: 2.029, usercpu_time_millis_training: 805.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8044, kappa: 0.6053, kb_relative_information_score: 1532.3266, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7646, scimark_benchmark: 1791.5158, usercpu_time_millis: 745.775, usercpu_time_millis_testing: 2.378, usercpu_time_millis_training: 743.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7511, kappa: 0.4978, kb_relative_information_score: 1104.6257, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8438, scimark_benchmark: 1733.8711, usercpu_time_millis: 643.487, usercpu_time_millis_testing: 1.843, usercpu_time_millis_training: 641.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7961, kappa: 0.5888, kb_relative_information_score: 1413.6974, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7961, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7813, scimark_benchmark: 1789.3101, usercpu_time_millis: 395.841, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 394.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7659, kappa: 0.5278, kb_relative_information_score: 1246.6738, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7661, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.82, scimark_benchmark: 1767.3871, usercpu_time_millis: 257.767, usercpu_time_millis_testing: 1.255, usercpu_time_millis_training: 256.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7376, kappa: 0.472, kb_relative_information_score: 840.2444, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8697, scimark_benchmark: 1771.1187, usercpu_time_millis: 186.743, usercpu_time_millis_testing: 1.255, usercpu_time_millis_training: 185.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7871, kappa: 0.5705, kb_relative_information_score: 1379.2045, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7877, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7904, scimark_benchmark: 1774.0538, usercpu_time_millis: 100.846, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 99.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7372, kappa: 0.4718, kb_relative_information_score: 842.2815, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7382, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8715, scimark_benchmark: 1787.199, usercpu_time_millis: 89.927, usercpu_time_millis_testing: 1.254, usercpu_time_millis_training: 88.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7745, kappa: 0.5451, kb_relative_information_score: 1223.1366, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7747, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1793.4999, usercpu_time_millis: 80.257, usercpu_time_millis_testing: 1.226, usercpu_time_millis_training: 79.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7878, kappa: 0.5726, kb_relative_information_score: 1747.4534, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7879, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7878, scimark_benchmark: 1730.7262, usercpu_time_millis: 71.467, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 70.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7363, kappa: 0.4692, kb_relative_information_score: 625.9915, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7366, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8976, scimark_benchmark: 1793.9705, usercpu_time_millis: 58.027, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 57.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7404, kappa: 0.4784, kb_relative_information_score: 1138.0678, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7416, predictive_accuracy: 0.7401, prior_entropy: 0.9948, recall: 0.7401, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8443, scimark_benchmark: 1804.8294, usercpu_time_millis: 51.203, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 50.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7463, kappa: 0.4882, kb_relative_information_score: 610.5674, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7469, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8964, scimark_benchmark: 1713.4936, usercpu_time_millis: 40.908, usercpu_time_millis_testing: 1.147, usercpu_time_millis_training: 39.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7511, kappa: 0.4978, kb_relative_information_score: 994.0878, mean_absolute_error: 0.3847, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.848, scimark_benchmark: 1771.0116, usercpu_time_millis: 33.418, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 32.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.0884, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1759.4593, usercpu_time_millis: 7.792, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 6.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0444, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1712.1622, usercpu_time_millis: 6.905, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 5.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1059, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1753.2007, usercpu_time_millis: 7.618, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 6.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1967, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1739.2467, usercpu_time_millis: 8.428, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 7.091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7748, kappa: 0.5456, kb_relative_information_score: 1267.1718, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7753, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8067, scimark_benchmark: 1360.4436, usercpu_time_millis: 141.163, usercpu_time_millis_testing: 1.17, usercpu_time_millis_training: 139.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8049, kappa: 0.6064, kb_relative_information_score: 1533.3586, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8053, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7631, scimark_benchmark: 1362.4104, usercpu_time_millis: 2896.643, usercpu_time_millis_testing: 4.654, usercpu_time_millis_training: 2891.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.807, kappa: 0.6109, kb_relative_information_score: 1732.5628, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7472, scimark_benchmark: 1361.541, usercpu_time_millis: 4390.18, usercpu_time_millis_testing: 3.427, usercpu_time_millis_training: 4386.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8002, kappa: 0.597, kb_relative_information_score: 1510.2997, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7699, scimark_benchmark: 1365.7171, usercpu_time_millis: 1781.477, usercpu_time_millis_testing: 2.48, usercpu_time_millis_training: 1778.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7883, kappa: 0.5732, kb_relative_information_score: 1476.4931, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7883, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7838, scimark_benchmark: 1361.0711, usercpu_time_millis: 276.716, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 275.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1639.2946, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7562, scimark_benchmark: 1361.2908, usercpu_time_millis: 9989.177, usercpu_time_millis_testing: 4.324, usercpu_time_millis_training: 9984.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7758, kappa: 0.5475, kb_relative_information_score: 1263.5868, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7771, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8063, scimark_benchmark: 1360.6967, usercpu_time_millis: 1374.131, usercpu_time_millis_testing: 2.548, usercpu_time_millis_training: 1371.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8093, kappa: 0.6155, kb_relative_information_score: 1726.8985, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7493, scimark_benchmark: 1362.4126, usercpu_time_millis: 11071.612, usercpu_time_millis_testing: 5.055, usercpu_time_millis_training: 11066.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7436, kappa: 0.4837, kb_relative_information_score: 944.9573, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7437, predictive_accuracy: 0.7435, prior_entropy: 0.9948, recall: 0.7435, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.854, scimark_benchmark: 1362.3782, usercpu_time_millis: 66.199, usercpu_time_millis_testing: 1.174, usercpu_time_millis_training: 65.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7907, kappa: 0.5779, kb_relative_information_score: 1454.1941, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7911, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7838, scimark_benchmark: 1351.8496, usercpu_time_millis: 4660.883, usercpu_time_millis_testing: 3.948, usercpu_time_millis_training: 4656.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8074, kappa: 0.6116, kb_relative_information_score: 1649.5213, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7538, scimark_benchmark: 1363.0158, usercpu_time_millis: 2680.488, usercpu_time_millis_testing: 2.323, usercpu_time_millis_training: 2678.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.797, kappa: 0.5906, kb_relative_information_score: 1526.0983, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7972, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7716, scimark_benchmark: 1362.1937, usercpu_time_millis: 4682.373, usercpu_time_millis_testing: 4.01, usercpu_time_millis_training: 4678.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7462, kappa: 0.4886, kb_relative_information_score: 1177.0108, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7521, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8359, scimark_benchmark: 1357.1723, usercpu_time_millis: 417.533, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 416.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7895, kappa: 0.5755, kb_relative_information_score: 1472.9815, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7825, scimark_benchmark: 1362.5026, usercpu_time_millis: 9158.397, usercpu_time_millis_testing: 4.388, usercpu_time_millis_training: 9154.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7981, kappa: 0.5928, kb_relative_information_score: 1498.6442, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7719, scimark_benchmark: 1349.3283, usercpu_time_millis: 2914.099, usercpu_time_millis_testing: 4.464, usercpu_time_millis_training: 2909.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8053, kappa: 0.6073, kb_relative_information_score: 1611.1099, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7599, scimark_benchmark: 1360.0004, usercpu_time_millis: 410.376, usercpu_time_millis_testing: 1.184, usercpu_time_millis_training: 409.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8067, kappa: 0.6103, kb_relative_information_score: 1757.7242, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7494, scimark_benchmark: 1362.6245, usercpu_time_millis: 15689.295, usercpu_time_millis_testing: 8.013, usercpu_time_millis_training: 15681.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7471, kappa: 0.49, kb_relative_information_score: 849.1023, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7471, predictive_accuracy: 0.7475, prior_entropy: 0.9948, recall: 0.7475, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8592, scimark_benchmark: 1359.9231, usercpu_time_millis: 70.055, usercpu_time_millis_testing: 2.899, usercpu_time_millis_training: 67.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.1107, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1362.2198, usercpu_time_millis: 10.801, usercpu_time_millis_testing: 1.811, usercpu_time_millis_training: 8.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7907, kappa: 0.5777, kb_relative_information_score: 1538.9874, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7911, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.775, scimark_benchmark: 1365.1885, usercpu_time_millis: 15001.584, usercpu_time_millis_testing: 4.218, usercpu_time_millis_training: 14997.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7815, kappa: 0.5592, kb_relative_information_score: 1367.9538, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7816, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8009, scimark_benchmark: 1358.0874, usercpu_time_millis: 462.514, usercpu_time_millis_testing: 1.351, usercpu_time_millis_training: 461.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8075, kappa: 0.6117, kb_relative_information_score: 1626.5089, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.753, scimark_benchmark: 1364.2628, usercpu_time_millis: 1567.534, usercpu_time_millis_testing: 2.441, usercpu_time_millis_training: 1565.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7722, kappa: 0.5403, kb_relative_information_score: 1317.1587, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7737, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8086, scimark_benchmark: 1355.2277, usercpu_time_millis: 3440.374, usercpu_time_millis_testing: 3.026, usercpu_time_millis_training: 3437.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7793, kappa: 0.5547, kb_relative_information_score: 1358.8085, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7795, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7967, scimark_benchmark: 1359.238, usercpu_time_millis: 513.498, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 512.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7597, kappa: 0.5151, kb_relative_information_score: 1039.1629, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8378, scimark_benchmark: 1359.5366, usercpu_time_millis: 701.045, usercpu_time_millis_testing: 2.406, usercpu_time_millis_training: 698.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.7848, kappa: 0.5659, kb_relative_information_score: 1438.6317, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7857, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7884, scimark_benchmark: 1360.97, usercpu_time_millis: 755.229, usercpu_time_millis_testing: 1.213, usercpu_time_millis_training: 754.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8123, kappa: 0.6216, kb_relative_information_score: 1541.2781, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7547, scimark_benchmark: 1362.3437, usercpu_time_millis: 1142.718, usercpu_time_millis_testing: 6.409, usercpu_time_millis_training: 1136.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7444, kappa: 0.4846, kb_relative_information_score: 1138.6851, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7449, prior_entropy: 0.9948, recall: 0.7449, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.84, scimark_benchmark: 1360.1959, usercpu_time_millis: 9.122, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 8.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 978.5009, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8794, scimark_benchmark: 1359.037, usercpu_time_millis: 482.695, usercpu_time_millis_testing: 2.079, usercpu_time_millis_training: 480.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8095, kappa: 0.6158, kb_relative_information_score: 1640.6112, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7527, scimark_benchmark: 1360.3685, usercpu_time_millis: 11144.599, usercpu_time_millis_testing: 7.397, usercpu_time_millis_training: 11137.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.757, kappa: 0.5098, kb_relative_information_score: 1151.6483, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.76, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8296, scimark_benchmark: 1364.2434, usercpu_time_millis: 349.782, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 348.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8074, kappa: 0.6114, kb_relative_information_score: 1679.786, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1357.7048, usercpu_time_millis: 6749.122, usercpu_time_millis_testing: 2.703, usercpu_time_millis_training: 6746.419,

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)

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