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: 0.8641, f_measure: 0.7988, kappa: 0.5941, kb_relative_information_score: 1221.8747, mean_absolute_error: 0.3546, 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: 0.7143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7982, scimark_benchmark: 1821.613, usercpu_time_millis: 54.145, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 51.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7483, kappa: 0.4921, kb_relative_information_score: 822.8103, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7487, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8638, scimark_benchmark: 1857.5664, usercpu_time_millis: 56.197, usercpu_time_millis_testing: 1.316, usercpu_time_millis_training: 54.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7358, kappa: 0.4688, kb_relative_information_score: 698.3439, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8859, scimark_benchmark: 1849.8177, usercpu_time_millis: 53.445, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 52.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 829.6145, mean_absolute_error: 0.4056, 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: 0.8171, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8805, scimark_benchmark: 1764.9346, usercpu_time_millis: 69.552, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 68.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7562, kappa: 0.5084, kb_relative_information_score: 886.7673, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7562, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8534, scimark_benchmark: 1836.1876, usercpu_time_millis: 44.708, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 43.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7246, kappa: 0.4443, kb_relative_information_score: 453.0084, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7264, predictive_accuracy: 0.7265, prior_entropy: 0.9948, recall: 0.7265, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9211, scimark_benchmark: 1783.8383, usercpu_time_millis: 22.628, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 21.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 794.9805, mean_absolute_error: 0.41, 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: 0.8259, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1859.1356, usercpu_time_millis: 63.166, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 62.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 978.0592, mean_absolute_error: 0.3863, 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: 0.7782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8811, scimark_benchmark: 789.3389, usercpu_time_millis: 370.997, usercpu_time_millis_testing: 2.043, usercpu_time_millis_training: 368.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7606, kappa: 0.5169, kb_relative_information_score: 1090.7649, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8302, scimark_benchmark: 790.4942, usercpu_time_millis: 385.462, usercpu_time_millis_testing: 2.538, usercpu_time_millis_training: 382.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7799, kappa: 0.556, kb_relative_information_score: 1279.6757, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7804, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8026, scimark_benchmark: 1802.471, usercpu_time_millis: 99.872, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 98.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 881.84, mean_absolute_error: 0.399, 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: 0.8037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8748, scimark_benchmark: 1858.6775, usercpu_time_millis: 115.785, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 114.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7648, kappa: 0.5254, kb_relative_information_score: 1095.9973, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.412, root_relative_squared_error: 0.827, scimark_benchmark: 1853.5148, usercpu_time_millis: 140.585, usercpu_time_millis_testing: 1.191, usercpu_time_millis_training: 139.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7544, kappa: 0.5044, kb_relative_information_score: 898.7728, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8564, scimark_benchmark: 1769.7371, usercpu_time_millis: 242.546, usercpu_time_millis_testing: 1.817, usercpu_time_millis_training: 240.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 974.7974, mean_absolute_error: 0.3868, 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: 0.7791, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8803, scimark_benchmark: 789.5687, usercpu_time_millis: 237.641, usercpu_time_millis_testing: 2.237, usercpu_time_millis_training: 235.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7596, kappa: 0.515, kb_relative_information_score: 1356.7467, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.763, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.813, scimark_benchmark: 1840.2451, usercpu_time_millis: 277.175, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 276.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7557, kappa: 0.5071, kb_relative_information_score: 947.4246, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8491, scimark_benchmark: 1855.0232, usercpu_time_millis: 297.553, usercpu_time_millis_testing: 2.068, usercpu_time_millis_training: 295.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7466, kappa: 0.4893, kb_relative_information_score: 1195.5896, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8342, scimark_benchmark: 1853.454, usercpu_time_millis: 319.182, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 318.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7852, kappa: 0.5668, kb_relative_information_score: 1487.2757, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7858, scimark_benchmark: 1812.1403, usercpu_time_millis: 149.766, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 148.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 971.784, mean_absolute_error: 0.3872, 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: 0.7799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.881, scimark_benchmark: 1852.4008, usercpu_time_millis: 142.635, usercpu_time_millis_testing: 1.057, usercpu_time_millis_training: 141.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7494, kappa: 0.4945, kb_relative_information_score: 1119.589, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7495, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8438, scimark_benchmark: 1766.3107, usercpu_time_millis: 187.272, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 186.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.74, kappa: 0.4759, kb_relative_information_score: 768.7274, mean_absolute_error: 0.413, 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: 0.832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8763, scimark_benchmark: 1822.9739, usercpu_time_millis: 185.57, usercpu_time_millis_testing: 1.788, usercpu_time_millis_training: 183.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7494, kappa: 0.4948, kb_relative_information_score: 1108.8727, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7493, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8419, scimark_benchmark: 1832.303, usercpu_time_millis: 219.812, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 218.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7661, kappa: 0.5281, kb_relative_information_score: 1268.77, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7687, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8181, scimark_benchmark: 1826.7319, usercpu_time_millis: 252.598, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 251.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0824, 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: 1799.0909, usercpu_time_millis: 9.927, usercpu_time_millis_testing: 1.457, usercpu_time_millis_training: 8.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0873, 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: 1806.3111, usercpu_time_millis: 9.405, usercpu_time_millis_testing: 1.506, usercpu_time_millis_training: 7.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1044, 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: 1820.6412, usercpu_time_millis: 7.663, usercpu_time_millis_testing: 1.206, usercpu_time_millis_training: 6.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: 0.0133, 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: 1849.4321, usercpu_time_millis: 4.812, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 4.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: 0.0267, 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: 1761.1241, usercpu_time_millis: 5.821, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 4.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.2064, 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: 1778.7527, usercpu_time_millis: 8.735, usercpu_time_millis_testing: 1.379, usercpu_time_millis_training: 7.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 1784.4587, usercpu_time_millis: 8.012, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 6.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3813, kb_relative_information_score: -0.1864, 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: 1848.4347, usercpu_time_millis: 4.364, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 3.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.313, 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: 1779.2309, usercpu_time_millis: 5.877, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 5.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.2781, 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: 1822.9739, usercpu_time_millis: 5.094, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 4.321,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.0989, 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: 1805.0025, usercpu_time_millis: 6.874, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 5.892,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7472, kappa: 0.4899, kb_relative_information_score: 665.2732, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7477, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8888, scimark_benchmark: 1819.4647, usercpu_time_millis: 28.231, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 27.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 951.7472, mean_absolute_error: 0.3898, 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: 0.7853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8804, scimark_benchmark: 1828.7666, usercpu_time_millis: 42.816, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 42.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.004, 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: 1798.0499, usercpu_time_millis: 9.751, usercpu_time_millis_testing: 1.336, usercpu_time_millis_training: 8.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7556, kappa: 0.5068, kb_relative_information_score: 928.6678, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8518, scimark_benchmark: 1823.3064, usercpu_time_millis: 24.478, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 23.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.03, 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: 1840.8272, usercpu_time_millis: 7.747, usercpu_time_millis_testing: 1.249, usercpu_time_millis_training: 6.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 953.3788, mean_absolute_error: 0.3896, 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: 0.7848, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8787, scimark_benchmark: 1814.2448, usercpu_time_millis: 9.391, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 8.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0722, 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: 1783.997, usercpu_time_millis: 9.462, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 8.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7882, kappa: 0.5738, kb_relative_information_score: 1632.5235, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7886, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7881, scimark_benchmark: 1850.9652, usercpu_time_millis: 59.295, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 58.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7603, kappa: 0.5165, kb_relative_information_score: 1239.4786, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7605, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8311, scimark_benchmark: 1808.1865, usercpu_time_millis: 13.917, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 13.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1536, 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: 1832.1735, usercpu_time_millis: 7.505, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 6.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7375, kappa: 0.4724, kb_relative_information_score: 862.7322, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.874, scimark_benchmark: 1811.6402, usercpu_time_millis: 80.146, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 79.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7279, kappa: 0.4511, kb_relative_information_score: 661.3419, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7283, predictive_accuracy: 0.7289, prior_entropy: 0.9948, recall: 0.7289, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8889, scimark_benchmark: 1798.2259, usercpu_time_millis: 47.743, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 46.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7719, kappa: 0.5399, kb_relative_information_score: 1437.7302, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.772, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8004, scimark_benchmark: 1722.7651, usercpu_time_millis: 66.522, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 65.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7442, kappa: 0.484, kb_relative_information_score: 648.625, mean_absolute_error: 0.4271, 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: 0.8604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8916, scimark_benchmark: 1823.3487, usercpu_time_millis: 122.85, usercpu_time_millis_testing: 1.773, usercpu_time_millis_training: 121.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.761, kappa: 0.5177, kb_relative_information_score: 1079.2616, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8293, scimark_benchmark: 1854.9533, usercpu_time_millis: 113.455, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 112.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.7466, kappa: 0.4889, kb_relative_information_score: 715.8877, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7468, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8822, scimark_benchmark: 1825.8927, usercpu_time_millis: 131.017, usercpu_time_millis_testing: 1.93, usercpu_time_millis_training: 129.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.781, kappa: 0.5581, kb_relative_information_score: 1347.2725, mean_absolute_error: 0.3361, 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: 0.6769, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7967, scimark_benchmark: 1838.7526, usercpu_time_millis: 122.593, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 121.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7881, kappa: 0.5725, kb_relative_information_score: 1480.699, mean_absolute_error: 0.3168, 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: 0.6381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7876, scimark_benchmark: 1830.9011, usercpu_time_millis: 96.345, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 95.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7544, kappa: 0.5044, kb_relative_information_score: 878.7676, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8587, scimark_benchmark: 1851.4874, usercpu_time_millis: 211.029, usercpu_time_millis_testing: 1.959, usercpu_time_millis_training: 209.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 887.4873, mean_absolute_error: 0.3983, 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: 0.8023, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8717, scimark_benchmark: 1782.5172, usercpu_time_millis: 341.978, usercpu_time_millis_testing: 1.634, usercpu_time_millis_training: 340.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 947.7145, mean_absolute_error: 0.3904, 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: 0.7864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.88, scimark_benchmark: 1834.8102, usercpu_time_millis: 355.077, usercpu_time_millis_testing: 1.496, usercpu_time_millis_training: 353.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 971.8808, mean_absolute_error: 0.387, 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: 0.7797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.862, scimark_benchmark: 1813.1504, usercpu_time_millis: 247.417, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 246.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7947, kappa: 0.5871, kb_relative_information_score: 1633.3409, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9659, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1689.3924, mean_absolute_error: 0.2885, 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: 0.5812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7526, scimark_benchmark: 2026.7881, usercpu_time_millis: 5110.289, usercpu_time_millis_testing: 2.295, usercpu_time_millis_training: 5107.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7551, kappa: 0.506, kb_relative_information_score: 920.0295, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8491, scimark_benchmark: 1723.6461, usercpu_time_millis: 140.962, usercpu_time_millis_testing: 2.239, usercpu_time_millis_training: 138.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8042, kappa: 0.605, kb_relative_information_score: 1492.4446, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7662, scimark_benchmark: 1758.413, usercpu_time_millis: 164.823, usercpu_time_millis_testing: 1.332, usercpu_time_millis_training: 163.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7636, kappa: 0.5231, kb_relative_information_score: 1190.4511, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7663, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8228, scimark_benchmark: 1767.6404, usercpu_time_millis: 520.392, usercpu_time_millis_testing: 1.596, usercpu_time_millis_training: 518.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7918, kappa: 0.5801, kb_relative_information_score: 1483.1434, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7921, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7782, scimark_benchmark: 1839.9263, usercpu_time_millis: 2079.23, usercpu_time_millis_testing: 2.335, usercpu_time_millis_training: 2076.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.7766, kappa: 0.5491, kb_relative_information_score: 1373.9609, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7779, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.799, scimark_benchmark: 1765.3587, usercpu_time_millis: 2157.436, usercpu_time_millis_testing: 2.207, usercpu_time_millis_training: 2155.229,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs