OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7627, kappa: 0.5213, kb_relative_information_score: 1632.2084, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 2147.0192, usercpu_time_millis: 78.424, usercpu_time_millis_testing: 77.823, usercpu_time_millis_training: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7683, kappa: 0.5327, kb_relative_information_score: 1566.9641, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8154, scimark_benchmark: 1830.1173, usercpu_time_millis: 106.114, usercpu_time_millis_testing: 105.336, usercpu_time_millis_training: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1800.9635, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0181, scimark_benchmark: 1195.8408, usercpu_time_millis: 171.193, usercpu_time_millis_testing: 169.83, usercpu_time_millis_training: 1.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1191.8399, usercpu_time_millis: 219.057, usercpu_time_millis_testing: 217.648, usercpu_time_millis_training: 1.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7674, kappa: 0.5308, kb_relative_information_score: 1521.9462, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7677, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8114, scimark_benchmark: 1210.3789, usercpu_time_millis: 235.831, usercpu_time_millis_testing: 234.468, usercpu_time_millis_training: 1.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7664, kappa: 0.5289, kb_relative_information_score: 1583.1699, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7666, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8176, scimark_benchmark: 1836.2249, usercpu_time_millis: 98.974, usercpu_time_millis_testing: 98.191, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1731.0899, usercpu_time_millis: 101.712, usercpu_time_millis_testing: 100.987, usercpu_time_millis_training: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7629, kappa: 0.5218, kb_relative_information_score: 1599.8574, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1203.5512, usercpu_time_millis: 210.311, usercpu_time_millis_testing: 208.959, usercpu_time_millis_training: 1.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1202.1223, usercpu_time_millis: 214.37, usercpu_time_millis_testing: 212.999, usercpu_time_millis_training: 1.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1403.9983, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1238.5181, usercpu_time_millis: 226.712, usercpu_time_millis_testing: 225.355, usercpu_time_millis_training: 1.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1847.3589, usercpu_time_millis: 107.112, usercpu_time_millis_testing: 106.41, usercpu_time_millis_training: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1208.3461, usercpu_time_millis: 199.911, usercpu_time_millis_testing: 198.53, usercpu_time_millis_training: 1.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7589, kappa: 0.5137, kb_relative_information_score: 1648.8619, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, scimark_benchmark: 1202.3189, usercpu_time_millis: 208.454, usercpu_time_millis_testing: 207.076, usercpu_time_millis_training: 1.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1204.2451, usercpu_time_millis: 242.646, usercpu_time_millis_testing: 241.252, usercpu_time_millis_training: 1.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7599, kappa: 0.5154, kb_relative_information_score: 1357.9796, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 1119.149, usercpu_time_millis: 323.122, usercpu_time_millis_testing: 321.525, usercpu_time_millis_training: 1.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7646, kappa: 0.525, kb_relative_information_score: 1481.7546, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098, scimark_benchmark: 1106.799, usercpu_time_millis: 338.154, usercpu_time_millis_testing: 336.487, usercpu_time_millis_training: 1.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1034.9118, usercpu_time_millis: 371.021, usercpu_time_millis_testing: 369.356, usercpu_time_millis_training: 1.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1403.9983, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1057.9764, usercpu_time_millis: 381.754, usercpu_time_millis_testing: 380.172, usercpu_time_millis_training: 1.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1849.3014, usercpu_time_millis: 100.728, usercpu_time_millis_testing: 100.023, usercpu_time_millis_training: 0.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1738.1343, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9073, scimark_benchmark: 1714.6802, usercpu_time_millis: 107.195, usercpu_time_millis_testing: 106.279, usercpu_time_millis_training: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7628, kappa: 0.5215, kb_relative_information_score: 1435.2201, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7636, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8096, scimark_benchmark: 1127.0175, usercpu_time_millis: 253.36, usercpu_time_millis_testing: 251.995, usercpu_time_millis_training: 1.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1469.4768, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8096, scimark_benchmark: 1062.9869, usercpu_time_millis: 322.753, usercpu_time_millis_testing: 321.094, usercpu_time_millis_training: 1.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1048.8511, usercpu_time_millis: 347.864, usercpu_time_millis_testing: 346.19, usercpu_time_millis_training: 1.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1800.9635, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0181, scimark_benchmark: 2078.0931, usercpu_time_millis: 71.705, usercpu_time_millis_testing: 71.079, usercpu_time_millis_training: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1769.05, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548, scimark_benchmark: 1194.7314, usercpu_time_millis: 173.629, usercpu_time_millis_testing: 172.268, usercpu_time_millis_training: 1.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1705.6396, usercpu_time_millis: 209.973, usercpu_time_millis_testing: 209.045, usercpu_time_millis_training: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1738.1343, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9073, scimark_benchmark: 1744.2357, usercpu_time_millis: 95.451, usercpu_time_millis_testing: 94.72, usercpu_time_millis_training: 0.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.038, 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: 1852.9988, usercpu_time_millis: 6.704, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 5.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7987, kappa: 0.594, kb_relative_information_score: 1276.788, mean_absolute_error: 0.3466, 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: 0.6981, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7949, scimark_benchmark: 1849.8294, usercpu_time_millis: 26.648, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 25.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7558, kappa: 0.5071, kb_relative_information_score: 982.2958, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8427, scimark_benchmark: 1834.5367, usercpu_time_millis: 65.537, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 64.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1261, 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: 1939.6866, usercpu_time_millis: 5.644, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 4.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1162, 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: 1788.3211, usercpu_time_millis: 5.341, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 4.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0742, 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: 1748.9625, usercpu_time_millis: 9.57, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 8.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.6709, kappa: 0.3395, kb_relative_information_score: 321.2039, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6819, predictive_accuracy: 0.6785, prior_entropy: 0.9948, recall: 0.6785, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9431, scimark_benchmark: 1846.7886, usercpu_time_millis: 29.872, usercpu_time_millis_testing: 2.032, usercpu_time_millis_training: 27.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0689, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1748.6193, usercpu_time_millis: 7.077, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 5.958,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7579, kappa: 0.5117, kb_relative_information_score: 0.1366, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7615, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7926, kappa: 0.5817, kb_relative_information_score: 0.4153, mean_absolute_error: 0.3075, 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: 0.6195, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7579, kappa: 0.5117, kb_relative_information_score: 0.1366, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7615, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7926, kappa: 0.5817, kb_relative_information_score: 0.4153, mean_absolute_error: 0.3075, 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: 0.6195, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7789, kappa: 0.5539, kb_relative_information_score: 0.3097, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7804, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7789, kappa: 0.5539, kb_relative_information_score: 0.3097, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7804, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7992, kappa: 0.5951, kb_relative_information_score: 0.5895, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7992, kappa: 0.5951, kb_relative_information_score: 0.5895, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.7995, kappa: 0.5956, kb_relative_information_score: 0.5805, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8007, kappa: 0.598, kb_relative_information_score: 0.5632, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.7995, kappa: 0.5956, kb_relative_information_score: 0.5805, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7936, kappa: 0.5837, kb_relative_information_score: 0.4503, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.794, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8007, kappa: 0.598, kb_relative_information_score: 0.5632, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7936, kappa: 0.5837, kb_relative_information_score: 0.4503, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.794, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8044, kappa: 0.6056, kb_relative_information_score: 0.5053, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7959, kappa: 0.5884, kb_relative_information_score: 0.481, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7961, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7959, kappa: 0.5884, kb_relative_information_score: 0.481, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7961, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8005, kappa: 0.5976, kb_relative_information_score: 0.4946, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8006, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8005, kappa: 0.5976, kb_relative_information_score: 0.4946, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8006, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7642, kappa: 0.5243, kb_relative_information_score: 0.3208, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7649, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7642, kappa: 0.5243, kb_relative_information_score: 0.3208, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7649, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.799, kappa: 0.5946, kb_relative_information_score: 0.5185, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.799, kappa: 0.5946, kb_relative_information_score: 0.5185, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7978, kappa: 0.5922, kb_relative_information_score: 0.5895, mean_absolute_error: 0.204, 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: 0.4109, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8308,

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