OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: -30.1083, mean_absolute_error: 0.499, 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: 1.0053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0017, scimark_benchmark: 1721.8007, usercpu_time_millis: 141.051, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 140.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7622, kappa: 0.5201, kb_relative_information_score: 1352.572, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8199, scimark_benchmark: 1818.6506, usercpu_time_millis: 1866.133, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 1865.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.794, kappa: 0.5843, kb_relative_information_score: 1639.1355, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7943, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7662, scimark_benchmark: 1726.6494, usercpu_time_millis: 356.315, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 355.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0982, 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: 1838.3764, usercpu_time_millis: 341.34, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 340.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1836.6789, usercpu_time_millis: 399.084, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 398.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: -40.1688, mean_absolute_error: 0.5, 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: 1.0071, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0035, scimark_benchmark: 1839.7313, usercpu_time_millis: 453.482, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 453.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7662, kappa: 0.5282, kb_relative_information_score: 1193.4071, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7668, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8218, scimark_benchmark: 1834.6199, usercpu_time_millis: 259.027, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 258.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7454, kappa: 0.4862, kb_relative_information_score: 806.5041, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7462, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8664, scimark_benchmark: 1724.2785, usercpu_time_millis: 1699.656, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 1699.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 285.1039, mean_absolute_error: 0.4686, 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: 0.9439, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9497, scimark_benchmark: 1845.264, usercpu_time_millis: 1147.151, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 1146.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7717, kappa: 0.5395, kb_relative_information_score: 1547.2568, mean_absolute_error: 0.3047, 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: 0.6138, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8051, scimark_benchmark: 1808.2731, usercpu_time_millis: 500.943, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 500.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.3813, kb_relative_information_score: 72.6479, mean_absolute_error: 0.4896, 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: 0.9863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9866, scimark_benchmark: 1765.9838, usercpu_time_millis: 797.351, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 796.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7502, kappa: 0.4964, kb_relative_information_score: 1612.6319, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7501, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8739, scimark_benchmark: 1718.5887, usercpu_time_millis: 272.476, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 272.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.81, kappa: 0.6169, kb_relative_information_score: 1980.774, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7437, scimark_benchmark: 1843.7843, usercpu_time_millis: 1736.735, usercpu_time_millis_testing: 1.636, usercpu_time_millis_training: 1735.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7558, kappa: 0.5077, kb_relative_information_score: 778.6596, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8706, scimark_benchmark: 1693.1295, usercpu_time_millis: 802.828, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 802.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7565, kappa: 0.5089, kb_relative_information_score: 1598.1869, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8506, scimark_benchmark: 1719.5892, usercpu_time_millis: 1480.71, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1480.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7527, kappa: 0.501, kb_relative_information_score: 914.093, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8522, scimark_benchmark: 1746.759, usercpu_time_millis: 268.814, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 268.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7389, kappa: 0.4731, kb_relative_information_score: 671.3293, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7402, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8864, scimark_benchmark: 1834.1659, usercpu_time_millis: 1182.808, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 1182.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.739, kappa: 0.4738, kb_relative_information_score: 1636.5974, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7389, predictive_accuracy: 0.7393, prior_entropy: 0.9948, recall: 0.7393, relative_absolute_error: 0.5714, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9281, scimark_benchmark: 1768.3462, usercpu_time_millis: 375.391, usercpu_time_millis_testing: 1.085, usercpu_time_millis_training: 374.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.3813, kb_relative_information_score: 99.3248, mean_absolute_error: 0.4871, 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: 0.9812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9818, scimark_benchmark: 1892.2649, usercpu_time_millis: 406.061, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 404.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7368, kappa: 0.4714, kb_relative_information_score: 160.9859, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9699, scimark_benchmark: 1838.7625, usercpu_time_millis: 174.347, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 173.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.742, kappa: 0.48, kb_relative_information_score: 1647.6279, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7419, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.915, scimark_benchmark: 1707.22, usercpu_time_millis: 1455.169, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 1454.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7245, kappa: 0.4446, kb_relative_information_score: 780.3465, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7244, predictive_accuracy: 0.7249, prior_entropy: 0.9948, recall: 0.7249, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8738, scimark_benchmark: 1731.5003, usercpu_time_millis: 72.017, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 71.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7685, kappa: 0.5331, kb_relative_information_score: 1766.2453, mean_absolute_error: 0.2695, 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: 0.5428, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8331, scimark_benchmark: 1849.408, usercpu_time_millis: 304.96, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 304.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7025, kappa: 0.4035, kb_relative_information_score: 173.2338, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7169, predictive_accuracy: 0.7099, prior_entropy: 0.9948, recall: 0.7099, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4815, root_relative_squared_error: 0.9665, scimark_benchmark: 1804.2064, usercpu_time_millis: 457.369, usercpu_time_millis_testing: 1.437, usercpu_time_millis_training: 455.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.3813, kb_relative_information_score: 33.7727, mean_absolute_error: 0.4935, 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: 0.9941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9932, scimark_benchmark: 1816.1096, usercpu_time_millis: 446.065, usercpu_time_millis_testing: 1.037, usercpu_time_millis_training: 445.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0073, 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: 1841.6688, usercpu_time_millis: 1144.662, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 1144.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7835, kappa: 0.5635, kb_relative_information_score: 1991.9603, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7835, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8282, scimark_benchmark: 1845.9141, usercpu_time_millis: 1020.079, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 1019.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7635, kappa: 0.5229, kb_relative_information_score: 1408.4206, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7637, predictive_accuracy: 0.7641, prior_entropy: 0.9948, recall: 0.7641, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8162, scimark_benchmark: 1779.5009, usercpu_time_millis: 1049.879, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 1049.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0067, 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: 1701.6513, usercpu_time_millis: 1479.512, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 1479.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7671, kappa: 0.5302, kb_relative_information_score: 1612.7746, mean_absolute_error: 0.2933, 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: 0.5907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8308, scimark_benchmark: 1723.0479, usercpu_time_millis: 600.888, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 600.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7672, kappa: 0.5303, kb_relative_information_score: 1473.1126, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7675, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8114, scimark_benchmark: 2124.3607, usercpu_time_millis: 1248.787, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1248.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.743, kappa: 0.4817, kb_relative_information_score: 685.1836, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7431, predictive_accuracy: 0.7435, prior_entropy: 0.9948, recall: 0.7435, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.8837, scimark_benchmark: 1842.1882, usercpu_time_millis: 743.529, usercpu_time_millis_testing: 1.079, usercpu_time_millis_training: 742.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.7856, kappa: 0.5676, kb_relative_information_score: 1648.8127, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.786, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7766, scimark_benchmark: 1832.6428, usercpu_time_millis: 2624.436, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 2623.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7677, kappa: 0.5313, kb_relative_information_score: 1487.0152, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.768, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.6314, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8168, scimark_benchmark: 1840.1179, usercpu_time_millis: 1973.573, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 1973.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7179, kappa: 0.4308, kb_relative_information_score: 249.7439, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7201, predictive_accuracy: 0.7201, prior_entropy: 0.9948, recall: 0.7201, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9554, scimark_benchmark: 1819.2014, usercpu_time_millis: 1302.847, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1302.471,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.766, kappa: 0.528, kb_relative_information_score: 1618.6452, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7661, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8235, scimark_benchmark: 1845.264, usercpu_time_millis: 730.529, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 730.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7718, kappa: 0.5396, kb_relative_information_score: 1520.2904, mean_absolute_error: 0.3088, 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: 0.6219, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8066, scimark_benchmark: 2124.5255, usercpu_time_millis: 104.34, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 104.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7555, kappa: 0.507, kb_relative_information_score: 1291.6665, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8266, scimark_benchmark: 1845.7835, usercpu_time_millis: 1439.692, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 1439.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7527, kappa: 0.5013, kb_relative_information_score: 1570.5896, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7527, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8458, scimark_benchmark: 1886.9929, usercpu_time_millis: 879.797, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 879.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.798, kappa: 0.5926, kb_relative_information_score: 1480.3283, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7983, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7676, scimark_benchmark: 1816.3628, usercpu_time_millis: 1913.021, usercpu_time_millis_testing: 3.487, usercpu_time_millis_training: 1909.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7893, kappa: 0.575, kb_relative_information_score: 1747.9127, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7894, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7711, scimark_benchmark: 1778.6416, usercpu_time_millis: 780.336, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 779.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7932, kappa: 0.583, kb_relative_information_score: 1604.863, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7934, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7728, scimark_benchmark: 1839.2774, usercpu_time_millis: 456.737, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 456.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7567, kappa: 0.5098, kb_relative_information_score: 1141.7729, mean_absolute_error: 0.3636, 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: 0.7324, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8351, scimark_benchmark: 1702.153, usercpu_time_millis: 311.638, usercpu_time_millis_testing: 1.49, usercpu_time_millis_training: 310.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7673, kappa: 0.5306, kb_relative_information_score: 1568.2008, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7674, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8112, scimark_benchmark: 1810.7771, usercpu_time_millis: 734.457, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 733.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1858.9059, usercpu_time_millis: 565.154, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 564.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 644.3874, mean_absolute_error: 0.4287, 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: 0.8636, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9, scimark_benchmark: 1811.6928, usercpu_time_millis: 1349.665, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 1349.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7437, kappa: 0.4829, kb_relative_information_score: 751.7649, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7446, predictive_accuracy: 0.7449, prior_entropy: 0.9948, recall: 0.7449, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8743, scimark_benchmark: 1885.7736, usercpu_time_millis: 413.148, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 412.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7551, kappa: 0.5062, kb_relative_information_score: 1581.8074, mean_absolute_error: 0.2963, 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: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8498, scimark_benchmark: 1881.1399, usercpu_time_millis: 692.602, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 692.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 447.8515, mean_absolute_error: 0.4512, 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: 0.9089, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9247, scimark_benchmark: 1723.9038, usercpu_time_millis: 782.224, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 781.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7888, kappa: 0.574, kb_relative_information_score: 1974.6754, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7888, predictive_accuracy: 0.7891, prior_entropy: 0.9948, recall: 0.7891, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7892, scimark_benchmark: 1810.2957, usercpu_time_millis: 392.741, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 391.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, f_measure: 0.3813, kb_relative_information_score: -0.2431, 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: 1839.7313, usercpu_time_millis: 949.855, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 949.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7937, kappa: 0.5839, kb_relative_information_score: 1585.0497, mean_absolute_error: 0.3031, 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: 0.6105, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682, scimark_benchmark: 1832.6873, usercpu_time_millis: 448.435, usercpu_time_millis_testing: 1.462, usercpu_time_millis_training: 446.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 901.343, mean_absolute_error: 0.3965, 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: 0.7987, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8743, scimark_benchmark: 1768.8306, usercpu_time_millis: 393.881, usercpu_time_millis_testing: 1.079, usercpu_time_millis_training: 392.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 623.8181, mean_absolute_error: 0.4312, 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: 0.8685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.901, scimark_benchmark: 1720.6141, usercpu_time_millis: 1205.453, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 1204.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7678, kappa: 0.5317, kb_relative_information_score: 1573.9486, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.768, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.812, scimark_benchmark: 1836.2249, usercpu_time_millis: 733.227, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 732.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8048, kappa: 0.6062, kb_relative_information_score: 1952.9558, mean_absolute_error: 0.2483, 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: 0.5002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7488, scimark_benchmark: 1823.079, usercpu_time_millis: 1169.617, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 1168.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 142.2525, mean_absolute_error: 0.4833, 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: 0.9735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9731, scimark_benchmark: 1840.643, usercpu_time_millis: 298.626, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 298.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 537.5197, mean_absolute_error: 0.4407, 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: 0.8877, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.914, scimark_benchmark: 1733.7378, usercpu_time_millis: 666.796, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 666.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7872, kappa: 0.5708, kb_relative_information_score: 1465.6563, mean_absolute_error: 0.3212, 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: 0.647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.779, scimark_benchmark: 1717.4383, usercpu_time_millis: 2336.561, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 2335.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1799.6396, usercpu_time_millis: 372.975, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 372.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1857.317, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7574, scimark_benchmark: 1824.0639, usercpu_time_millis: 918.142, usercpu_time_millis_testing: 1.222, usercpu_time_millis_training: 916.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, f_measure: 0.7375, kappa: 0.4724, kb_relative_information_score: -13.8803, mean_absolute_error: 0.4976, 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: 1.0023, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9988, scimark_benchmark: 1709.9338, usercpu_time_millis: 200.284, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 199.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.807, kappa: 0.6108, kb_relative_information_score: 1989.5593, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7544, scimark_benchmark: 1835.2001, usercpu_time_millis: 1113.532, usercpu_time_millis_testing: 1.079, usercpu_time_millis_training: 1112.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7608, kappa: 0.5175, kb_relative_information_score: 1525.2362, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8258, scimark_benchmark: 1837.586, usercpu_time_millis: 848.337, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 847.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7652, kappa: 0.5263, kb_relative_information_score: 1494.2838, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8173, scimark_benchmark: 2011.0563, usercpu_time_millis: 1265.533, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 1265.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7314, kappa: 0.458, kb_relative_information_score: 636.0811, mean_absolute_error: 0.4279, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7331, predictive_accuracy: 0.7331, prior_entropy: 0.9948, recall: 0.7331, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8922, scimark_benchmark: 1723.9607, usercpu_time_millis: 505.645, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 505.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7653, kappa: 0.5265, kb_relative_information_score: 1514.2631, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.6227, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8173, scimark_benchmark: 1794.9491, usercpu_time_millis: 1124.569, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 1124.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7392, kappa: 0.4746, kb_relative_information_score: 824.4339, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7392, predictive_accuracy: 0.7393, prior_entropy: 0.9948, recall: 0.7393, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.875, scimark_benchmark: 1836.1651, usercpu_time_millis: 1393.886, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 1393.397,

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