Task
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: 0.8733, f_measure: 0.8031, kappa: 0.603, kb_relative_information_score: 1561.342, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7623, scimark_benchmark: 1910.4004, usercpu_time_millis: 1116.042, usercpu_time_millis_testing: 2.276, usercpu_time_millis_training: 1113.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7926, kappa: 0.5816, kb_relative_information_score: 1523.4292, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7757, scimark_benchmark: 1741.9805, usercpu_time_millis: 4248.546, usercpu_time_millis_testing: 3.481, usercpu_time_millis_training: 4245.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7875, kappa: 0.5713, kb_relative_information_score: 1421.8206, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7879, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.793, scimark_benchmark: 1748.0254, usercpu_time_millis: 62.954, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 62.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.799, kappa: 0.5945, kb_relative_information_score: 1595.1299, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7705, scimark_benchmark: 1848.388, usercpu_time_millis: 279.828, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 278.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.745, kappa: 0.4855, kb_relative_information_score: 818.8981, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.746, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8648, scimark_benchmark: 1745.4163, usercpu_time_millis: 122.939, usercpu_time_millis_testing: 2.35, usercpu_time_millis_training: 120.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.788, kappa: 0.5723, kb_relative_information_score: 1455.5189, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7884, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7871, scimark_benchmark: 1763.953, usercpu_time_millis: 746.219, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 744.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7649, kappa: 0.5257, kb_relative_information_score: 1348.4095, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8099, scimark_benchmark: 1824.282, usercpu_time_millis: 5561.648, usercpu_time_millis_testing: 2.479, usercpu_time_millis_training: 5559.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7971, kappa: 0.5908, kb_relative_information_score: 1565.5032, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7975, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7689, scimark_benchmark: 1849.3014, usercpu_time_millis: 3089.385, usercpu_time_millis_testing: 2.107, usercpu_time_millis_training: 3087.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8037, kappa: 0.6041, kb_relative_information_score: 1536.1667, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8038, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7664, scimark_benchmark: 1736.24, usercpu_time_millis: 3562.365, usercpu_time_millis_testing: 4.044, usercpu_time_millis_training: 3558.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8035, kappa: 0.6037, kb_relative_information_score: 1760.0193, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7537, scimark_benchmark: 1785.7023, usercpu_time_millis: 7552.079, usercpu_time_millis_testing: 4.547, usercpu_time_millis_training: 7547.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7999, kappa: 0.5963, kb_relative_information_score: 1580.1119, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7665, scimark_benchmark: 1798.1767, usercpu_time_millis: 1269.753, usercpu_time_millis_testing: 1.476, usercpu_time_millis_training: 1268.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7875, kappa: 0.5713, kb_relative_information_score: 1485.1848, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7879, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7835, scimark_benchmark: 1708.6025, usercpu_time_millis: 9929.227, usercpu_time_millis_testing: 3.6, usercpu_time_millis_training: 9925.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1533, 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: 1744.8237, usercpu_time_millis: 5.309, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 4.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7449, kappa: 0.4853, kb_relative_information_score: 720.1428, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7452, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.882, scimark_benchmark: 1778.9851, usercpu_time_millis: 208.966, usercpu_time_millis_testing: 1.935, usercpu_time_millis_training: 207.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0037, 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: 1904.3407, usercpu_time_millis: 7.57, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 6.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8063, kappa: 0.6093, kb_relative_information_score: 1646.7086, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8066, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7536, scimark_benchmark: 1762.1616, usercpu_time_millis: 4645.747, usercpu_time_millis_testing: 3.775, usercpu_time_millis_training: 4641.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7692, kappa: 0.5342, kb_relative_information_score: 1151.7691, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7702, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.822, scimark_benchmark: 1841.6688, usercpu_time_millis: 230.601, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 229.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7524, kappa: 0.5003, kb_relative_information_score: 1319.2606, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7549, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8182, scimark_benchmark: 1822.7572, usercpu_time_millis: 5653.941, usercpu_time_millis_testing: 2.489, usercpu_time_millis_training: 5651.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8081, kappa: 0.613, kb_relative_information_score: 1706.8107, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7462, scimark_benchmark: 1812.0454, usercpu_time_millis: 684.702, usercpu_time_millis_testing: 2.761, usercpu_time_millis_training: 681.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7648, kappa: 0.5255, kb_relative_information_score: 1221.0449, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.768, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8221, scimark_benchmark: 1727.4447, usercpu_time_millis: 844.335, usercpu_time_millis_testing: 1.533, usercpu_time_millis_training: 842.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1585.7214, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7628, scimark_benchmark: 1726.5817, usercpu_time_millis: 960.83, usercpu_time_millis_testing: 1.73, usercpu_time_millis_training: 959.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8066, kappa: 0.61, kb_relative_information_score: 1718.4711, mean_absolute_error: 0.2842, 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: 0.5725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7524, scimark_benchmark: 1738.3274, usercpu_time_millis: 4011.797, usercpu_time_millis_testing: 2.26, usercpu_time_millis_training: 4009.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8031, kappa: 0.6029, kb_relative_information_score: 1580.3056, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7633, scimark_benchmark: 1727.4447, usercpu_time_millis: 4194.666, usercpu_time_millis_testing: 3.161, usercpu_time_millis_training: 4191.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8096, kappa: 0.6161, kb_relative_information_score: 1708.1064, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7507, scimark_benchmark: 1745.8807, usercpu_time_millis: 6320.799, usercpu_time_millis_testing: 4.507, usercpu_time_millis_training: 6316.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.791, kappa: 0.5784, kb_relative_information_score: 1501.3967, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7802, scimark_benchmark: 1727.9868, usercpu_time_millis: 6454.33, usercpu_time_millis_testing: 3.008, usercpu_time_millis_training: 6451.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8046, kappa: 0.6058, kb_relative_information_score: 1652.9927, mean_absolute_error: 0.294, 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: 0.5923, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557, scimark_benchmark: 1735.1546, usercpu_time_millis: 10365.48, usercpu_time_millis_testing: 4.98, usercpu_time_millis_training: 10360.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7915, kappa: 0.5795, kb_relative_information_score: 1516.8042, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7919, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7791, scimark_benchmark: 1774.3244, usercpu_time_millis: 10394.134, usercpu_time_millis_testing: 3.382, usercpu_time_millis_training: 10390.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8026, kappa: 0.6017, kb_relative_information_score: 1661.2773, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7577, scimark_benchmark: 1734.693, usercpu_time_millis: 2388.483, usercpu_time_millis_testing: 1.916, usercpu_time_millis_training: 2386.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8068, kappa: 0.6104, kb_relative_information_score: 1621.0294, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8071, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7546, scimark_benchmark: 1737.4645, usercpu_time_millis: 3010.147, usercpu_time_millis_testing: 4.315, usercpu_time_millis_training: 3005.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7977, kappa: 0.5919, kb_relative_information_score: 1564.0596, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7693, scimark_benchmark: 1735.5975, usercpu_time_millis: 2268.924, usercpu_time_millis_testing: 1.674, usercpu_time_millis_training: 2267.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8028, kappa: 0.6022, kb_relative_information_score: 1646.7124, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7572, scimark_benchmark: 1754.928, usercpu_time_millis: 3915.399, usercpu_time_millis_testing: 3.031, usercpu_time_millis_training: 3912.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1219, 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: 1802.1296, usercpu_time_millis: 6.942, usercpu_time_millis_testing: 1.057, usercpu_time_millis_training: 5.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8011, kappa: 0.5988, kb_relative_information_score: 1528.6619, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8016, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7659, scimark_benchmark: 1732.8983, usercpu_time_millis: 978.842, usercpu_time_millis_testing: 2.105, usercpu_time_millis_training: 976.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7596, kappa: 0.515, kb_relative_information_score: 1308.7732, mean_absolute_error: 0.34, 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: 0.685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8152, scimark_benchmark: 1724.4319, usercpu_time_millis: 986.125, usercpu_time_millis_testing: 1.314, usercpu_time_millis_training: 984.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7964, kappa: 0.5893, kb_relative_information_score: 1566.8787, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7967, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7694, scimark_benchmark: 1182.7298, usercpu_time_millis: 4773.274, usercpu_time_millis_testing: 2.135, usercpu_time_millis_training: 4771.139,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7741, kappa: 0.5442, kb_relative_information_score: 1271.2525, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7749, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8128, scimark_benchmark: 1734.5659, usercpu_time_millis: 1211.82, usercpu_time_millis_testing: 2.22, usercpu_time_millis_training: 1209.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8009, kappa: 0.5983, kb_relative_information_score: 1506.2355, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8013, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7677, scimark_benchmark: 1717.041, usercpu_time_millis: 234.983, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 233.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7364, kappa: 0.4702, kb_relative_information_score: 847.9272, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8753, scimark_benchmark: 1731.5618, usercpu_time_millis: 297.036, usercpu_time_millis_testing: 1.498, usercpu_time_millis_training: 295.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7853, kappa: 0.5668, kb_relative_information_score: 1421.9308, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7858, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7905, scimark_benchmark: 1731.5003, usercpu_time_millis: 1158.446, usercpu_time_millis_testing: 1.355, usercpu_time_millis_training: 1157.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7776, kappa: 0.5513, kb_relative_information_score: 1380.9015, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8027, scimark_benchmark: 1735.5975, usercpu_time_millis: 1828.84, usercpu_time_millis_testing: 1.409, usercpu_time_millis_training: 1827.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8106, kappa: 0.6181, kb_relative_information_score: 1687.7351, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7485, scimark_benchmark: 1739.3121, usercpu_time_millis: 828.881, usercpu_time_millis_testing: 1.634, usercpu_time_millis_training: 827.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7779, kappa: 0.552, kb_relative_information_score: 1255.5302, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7786, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8115, scimark_benchmark: 1738.7316, usercpu_time_millis: 916.925, usercpu_time_millis_testing: 2.238, usercpu_time_millis_training: 914.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.746, kappa: 0.4875, kb_relative_information_score: 461.553, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7482, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.9039, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9197, scimark_benchmark: 1728.6214, usercpu_time_millis: 53.411, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 52.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7527, kappa: 0.5011, kb_relative_information_score: 918.7036, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8551, scimark_benchmark: 1714.7312, usercpu_time_millis: 65.284, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 64.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8085, kappa: 0.6137, kb_relative_information_score: 1660.499, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7522, scimark_benchmark: 1737.2983, usercpu_time_millis: 1430.753, usercpu_time_millis_testing: 1.985, usercpu_time_millis_training: 1428.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 946.3083, mean_absolute_error: 0.3906, 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: 0.7868, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.875, scimark_benchmark: 1853.9121, usercpu_time_millis: 199.702, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 198.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.811, kappa: 0.6188, kb_relative_information_score: 1518.3435, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7574, scimark_benchmark: 1838.6792, usercpu_time_millis: 278.171, usercpu_time_millis_testing: 3.873, usercpu_time_millis_training: 274.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7502, kappa: 0.4962, kb_relative_information_score: 1195.0545, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.755, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8323, scimark_benchmark: 1850.2875, usercpu_time_millis: 720.306, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 719.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7491, kappa: 0.4941, kb_relative_information_score: 1244.4544, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7537, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8266, scimark_benchmark: 1854.4431, usercpu_time_millis: 324.885, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 324.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7777, kappa: 0.5515, kb_relative_information_score: 1532.2471, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7783, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7907, scimark_benchmark: 1850.8185, usercpu_time_millis: 373.042, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 372.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7368, kappa: 0.469, kb_relative_information_score: 588.281, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.8998, scimark_benchmark: 1857.5664, usercpu_time_millis: 47.886, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 46.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7394, kappa: 0.4742, kb_relative_information_score: 546.5264, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7399, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9067, scimark_benchmark: 1856.0123, usercpu_time_millis: 67.885, usercpu_time_millis_testing: 1.153, usercpu_time_millis_training: 66.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7865, kappa: 0.5694, kb_relative_information_score: 1426.5564, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7867, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7881, scimark_benchmark: 1459.625, usercpu_time_millis: 1935.83, usercpu_time_millis_testing: 2.23, usercpu_time_millis_training: 1933.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7367, kappa: 0.4708, kb_relative_information_score: 792.2822, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.88, scimark_benchmark: 1849.7595, usercpu_time_millis: 107.297, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 106.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 812.2445, mean_absolute_error: 0.4077, 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: 0.8213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8817, scimark_benchmark: 1849.8294, usercpu_time_millis: 305.336, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 303.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7985, kappa: 0.5936, kb_relative_information_score: 1569.3901, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7677, scimark_benchmark: 1492.9686, usercpu_time_millis: 8844.99, usercpu_time_millis_testing: 2.74, usercpu_time_millis_training: 8842.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0723, 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: 1728.1202, usercpu_time_millis: 9.872, usercpu_time_millis_testing: 1.414, usercpu_time_millis_training: 8.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0934, 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: 1855.0232, usercpu_time_millis: 9.25, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 7.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.1084, 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: 1850.2875, usercpu_time_millis: 6.245, usercpu_time_millis_testing: 0.971, usercpu_time_millis_training: 5.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.779, kappa: 0.5541, kb_relative_information_score: 1354.349, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7793, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8037, scimark_benchmark: 1856.7258, usercpu_time_millis: 200.399, usercpu_time_millis_testing: 0.926, usercpu_time_millis_training: 199.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.0552, 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: 1833.2814, usercpu_time_millis: 4.592, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 3.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7369, kappa: 0.4712, kb_relative_information_score: 858.5182, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8721, scimark_benchmark: 1747.3957, usercpu_time_millis: 21.844, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 21.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 913.6379, mean_absolute_error: 0.3949, 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: 0.7955, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.878, scimark_benchmark: 1748.3275, usercpu_time_millis: 28.209, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 27.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 780.8841, mean_absolute_error: 0.4116, 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: 0.8291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8833, scimark_benchmark: 1854.4431, usercpu_time_millis: 194.512, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 193.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.808, kappa: 0.6128, kb_relative_information_score: 1719.3413, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7535, scimark_benchmark: 1738.0527, usercpu_time_millis: 4171.574, usercpu_time_millis_testing: 2.273, usercpu_time_millis_training: 4169.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7987, kappa: 0.594, kb_relative_information_score: 1590.5352, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7662, scimark_benchmark: 1851.8567, usercpu_time_millis: 9023.885, usercpu_time_millis_testing: 3.256, usercpu_time_millis_training: 9020.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7867, kappa: 0.5698, kb_relative_information_score: 1470.6899, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7844, scimark_benchmark: 1848.2615, usercpu_time_millis: 5778.314, usercpu_time_millis_testing: 2.953, usercpu_time_millis_training: 5775.361,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs