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: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.5301, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1705.8083, usercpu_time_millis: 4.922, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 4.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0011, 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: 1696.4969, usercpu_time_millis: 6.119, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 5.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7371, kappa: 0.4711, kb_relative_information_score: 827.9732, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8704, scimark_benchmark: 1716.8362, usercpu_time_millis: 108.438, usercpu_time_millis_testing: 1.339, usercpu_time_millis_training: 107.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8028, kappa: 0.6023, kb_relative_information_score: 1613.4772, mean_absolute_error: 0.3001, 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: 0.6045, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.757, scimark_benchmark: 1727.2353, usercpu_time_millis: 2614.74, usercpu_time_millis_testing: 2.496, usercpu_time_millis_training: 2612.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.7827, kappa: 0.5615, kb_relative_information_score: 1365.4952, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.783, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8007, scimark_benchmark: 1795.7401, usercpu_time_millis: 551.823, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 550.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7635, kappa: 0.5228, kb_relative_information_score: 1209.686, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7651, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8202, scimark_benchmark: 957.4161, usercpu_time_millis: 548.457, usercpu_time_millis_testing: 2.438, usercpu_time_millis_training: 546.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8009, kappa: 0.5984, kb_relative_information_score: 1411.7432, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7781, scimark_benchmark: 1804.2095, usercpu_time_millis: 562.504, usercpu_time_millis_testing: 3.19, usercpu_time_millis_training: 559.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7611, kappa: 0.5181, kb_relative_information_score: 1240.6258, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7648, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8242, scimark_benchmark: 1726.8346, usercpu_time_millis: 1080.494, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 1078.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8078, kappa: 0.6124, kb_relative_information_score: 1597.4708, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8082, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7561, scimark_benchmark: 1732.7672, usercpu_time_millis: 1765.597, usercpu_time_millis_testing: 2.974, usercpu_time_millis_training: 1762.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8129, kappa: 0.6228, kb_relative_information_score: 1698.3618, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8129, predictive_accuracy: 0.8131, prior_entropy: 0.9948, recall: 0.8131, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7443, scimark_benchmark: 1992.654, usercpu_time_millis: 1938.018, usercpu_time_millis_testing: 3.796, usercpu_time_millis_training: 1934.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8047, kappa: 0.6062, kb_relative_information_score: 1696.0274, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7531, scimark_benchmark: 1725.7233, usercpu_time_millis: 4218.428, usercpu_time_millis_testing: 2.514, usercpu_time_millis_training: 4215.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7873, kappa: 0.5709, kb_relative_information_score: 1489.8329, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7835, scimark_benchmark: 1725.3475, usercpu_time_millis: 4507.247, usercpu_time_millis_testing: 2.273, usercpu_time_millis_training: 4504.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7546, kappa: 0.5048, kb_relative_information_score: 1305.9396, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8175, scimark_benchmark: 1725.3886, usercpu_time_millis: 4767.683, usercpu_time_millis_testing: 3.019, usercpu_time_millis_training: 4764.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.6548, kappa: 0.3121, kb_relative_information_score: 275.8621, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6752, predictive_accuracy: 0.6673, prior_entropy: 0.9948, recall: 0.6673, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9507, scimark_benchmark: 1763.412, usercpu_time_millis: 7.121, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 6.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0351, 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: 1758.6469, usercpu_time_millis: 9.793, usercpu_time_millis_testing: 1.383, usercpu_time_millis_training: 8.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1052, 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: 1752.3674, usercpu_time_millis: 5.777, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 4.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.1575, 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: 1696.0444, usercpu_time_millis: 8.235, usercpu_time_millis_testing: 1.265, usercpu_time_millis_training: 6.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1495, 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: 1740.7323, usercpu_time_millis: 10.093, usercpu_time_millis_testing: 1.641, usercpu_time_millis_training: 8.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.0851, 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: 1740.1197, usercpu_time_millis: 9.876, usercpu_time_millis_testing: 1.514, usercpu_time_millis_training: 8.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7204, kappa: 0.4359, kb_relative_information_score: 561.5835, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7205, predictive_accuracy: 0.7211, prior_entropy: 0.9948, recall: 0.7211, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9043, scimark_benchmark: 1695.6472, usercpu_time_millis: 20.449, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 19.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7898, kappa: 0.576, kb_relative_information_score: 1454.6344, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7903, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7853, scimark_benchmark: 1756.402, usercpu_time_millis: 32.759, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 32.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8078, kappa: 0.6126, kb_relative_information_score: 1774.4512, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8078, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.749, scimark_benchmark: 1722.7118, usercpu_time_millis: 1750.854, usercpu_time_millis_testing: 2.482, usercpu_time_millis_training: 1748.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7948, kappa: 0.5861, kb_relative_information_score: 1600.7679, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.795, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7749, scimark_benchmark: 1733.8031, usercpu_time_millis: 3215.983, usercpu_time_millis_testing: 1.822, usercpu_time_millis_training: 3214.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.7907, kappa: 0.5778, kb_relative_information_score: 1490.3003, mean_absolute_error: 0.3161, 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: 0.6367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7813, scimark_benchmark: 1738.7728, usercpu_time_millis: 3548.345, usercpu_time_millis_testing: 2.514, usercpu_time_millis_training: 3545.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8064, kappa: 0.6097, kb_relative_information_score: 1755.6495, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7504, scimark_benchmark: 1762.3107, usercpu_time_millis: 4476.029, usercpu_time_millis_testing: 3.282, usercpu_time_millis_training: 4472.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8023, kappa: 0.6011, kb_relative_information_score: 1560.3355, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7652, scimark_benchmark: 1676.797, usercpu_time_millis: 4658.587, usercpu_time_millis_testing: 5.087, usercpu_time_millis_training: 4653.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8033, kappa: 0.6031, kb_relative_information_score: 1639.1162, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7565, scimark_benchmark: 1728.9808, usercpu_time_millis: 5491.755, usercpu_time_millis_testing: 3.601, usercpu_time_millis_training: 5488.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8118, kappa: 0.6204, kb_relative_information_score: 1670.6212, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8119, predictive_accuracy: 0.8121, prior_entropy: 0.9948, recall: 0.8121, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7503, scimark_benchmark: 1715.2427, usercpu_time_millis: 2708.677, usercpu_time_millis_testing: 2.586, usercpu_time_millis_training: 2706.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7595, kappa: 0.5146, kb_relative_information_score: 1299.2372, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7611, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.818, scimark_benchmark: 1738.3615, usercpu_time_millis: 2792.53, usercpu_time_millis_testing: 2.243, usercpu_time_millis_training: 2790.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8073, kappa: 0.6113, kb_relative_information_score: 1592.3502, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8077, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7549, scimark_benchmark: 1733.408, usercpu_time_millis: 673.577, usercpu_time_millis_testing: 2.126, usercpu_time_millis_training: 671.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1045, 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: 1851.3986, usercpu_time_millis: 7.936, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 6.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.6498, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1840.2202, usercpu_time_millis: 4.545, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 3.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7558, kappa: 0.5072, kb_relative_information_score: 1184.0111, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.836, scimark_benchmark: 1734.7321, usercpu_time_millis: 735.43, usercpu_time_millis_testing: 1.94, usercpu_time_millis_training: 733.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7961, kappa: 0.5887, kb_relative_information_score: 1474.9762, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7964, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.779, scimark_benchmark: 1735.1328, usercpu_time_millis: 1070.782, usercpu_time_millis_testing: 1.886, usercpu_time_millis_training: 1068.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7301, kappa: 0.4553, kb_relative_information_score: 689.1155, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7305, predictive_accuracy: 0.731, prior_entropy: 0.9948, recall: 0.731, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8848, scimark_benchmark: 1849.447, usercpu_time_millis: 63.349, usercpu_time_millis_testing: 1.432, usercpu_time_millis_training: 61.917,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.788, kappa: 0.5725, kb_relative_information_score: 1162.7427, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.788, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8079, scimark_benchmark: 1845.4601, usercpu_time_millis: 46.196, usercpu_time_millis_testing: 1.926, usercpu_time_millis_training: 44.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1845, 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: 1843.1989, usercpu_time_millis: 8.51, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 7.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7517, kappa: 0.4993, kb_relative_information_score: 877.6742, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7517, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8548, scimark_benchmark: 1846.6923, usercpu_time_millis: 27.796, usercpu_time_millis_testing: 1.949, usercpu_time_millis_training: 25.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7466, kappa: 0.4909, kb_relative_information_score: 1548.1323, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7478, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8654, scimark_benchmark: 1824.7316, usercpu_time_millis: 15.074, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 14.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1779, 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: 1825.9868, usercpu_time_millis: 5.814, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 4.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0641, 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: 1853.3841, usercpu_time_millis: 4.712, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 3.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.2478, mean_absolute_error: 0.4965, 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: 1857.1082, usercpu_time_millis: 4.627, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 3.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0654, 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: 1834.1863, usercpu_time_millis: 6.404, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 5.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7731, kappa: 0.5424, kb_relative_information_score: 1315.524, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7731, 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: 0.4, root_relative_squared_error: 0.8029, scimark_benchmark: 1855.4813, usercpu_time_millis: 17.258, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 16.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0305, 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: 1733.7613, usercpu_time_millis: 8.73, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 7.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 1031.9092, mean_absolute_error: 0.3792, 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: 0.7638, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8546, scimark_benchmark: 1823.7512, usercpu_time_millis: 52.168, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 51.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7775, kappa: 0.5513, kb_relative_information_score: 1153.389, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7776, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1852.9259, usercpu_time_millis: 10.056, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 8.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.151, 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: 1767.7136, usercpu_time_millis: 6.087, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 5.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1234, 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: 1837.1955, usercpu_time_millis: 5.857, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 4.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.6925, kappa: 0.3801, kb_relative_information_score: 421.8948, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6965, predictive_accuracy: 0.6961, prior_entropy: 0.9948, recall: 0.6961, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9266, scimark_benchmark: 1824.7316, usercpu_time_millis: 22.942, usercpu_time_millis_testing: 2.012, usercpu_time_millis_training: 20.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7423, kappa: 0.4799, kb_relative_information_score: 554.9203, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7429, predictive_accuracy: 0.7433, prior_entropy: 0.9948, recall: 0.7433, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9055, scimark_benchmark: 1844.677, usercpu_time_millis: 27.563, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 26.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, 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: 1843.6841, usercpu_time_millis: 10.763, usercpu_time_millis_testing: 1.534, usercpu_time_millis_training: 9.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0258, 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: 1858.1494, usercpu_time_millis: 9.917, usercpu_time_millis_testing: 1.412, usercpu_time_millis_training: 8.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.738, kappa: 0.473, kb_relative_information_score: 974.1104, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7386, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8537, scimark_benchmark: 1858.1494, usercpu_time_millis: 52.444, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 51.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7481, kappa: 0.4919, kb_relative_information_score: 740.0187, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7484, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.8385, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.87, scimark_benchmark: 1855.4813, usercpu_time_millis: 57.811, usercpu_time_millis_testing: 5.158, usercpu_time_millis_training: 52.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.0708, 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: 1853.9121, usercpu_time_millis: 5.22, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 4.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.4083, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 5.178, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 4.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1092, 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: 1816.5209, usercpu_time_millis: 9.076, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 7.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.2044, 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: 1853.9121, usercpu_time_millis: 8.273, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 6.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1508, 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: 1907.2085, usercpu_time_millis: 4.911, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 4.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1372, 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: 1811.6643, usercpu_time_millis: 10.14, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 8.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1623, 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: 1810.3123, usercpu_time_millis: 6.289, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 5.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.5128, mean_absolute_error: 0.4965, 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: 1.0001, 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: 4.667, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 3.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7189, kappa: 0.4328, kb_relative_information_score: 474.793, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7199, predictive_accuracy: 0.7203, prior_entropy: 0.9948, recall: 0.7203, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9178, scimark_benchmark: 1856.5802, usercpu_time_millis: 10.813, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 10.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7855, kappa: 0.5674, kb_relative_information_score: 1446.8473, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7856, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7907, scimark_benchmark: 1814.1578, usercpu_time_millis: 23.952, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 23.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7528, kappa: 0.5011, kb_relative_information_score: 1203.6224, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.755, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8328, scimark_benchmark: 1844.3569, usercpu_time_millis: 12.693, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 12.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7069, kappa: 0.4086, kb_relative_information_score: 423.0324, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7095, predictive_accuracy: 0.7094, prior_entropy: 0.9948, recall: 0.7094, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9262, scimark_benchmark: 1819.4765, usercpu_time_millis: 6.865, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 6.114,

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