OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9368 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.154, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1833.2039, usercpu_time_millis: 6.867, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 5.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7488, kappa: 0.4932, kb_relative_information_score: 697.4054, mean_absolute_error: 0.4214, 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: 0.8489, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8848, scimark_benchmark: 1817.1684, usercpu_time_millis: 19.194, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 18.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7812, kappa: 0.5586, kb_relative_information_score: 1232.5153, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7814, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8083, scimark_benchmark: 1853.454, usercpu_time_millis: 12.896, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 12.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7474, kappa: 0.4902, kb_relative_information_score: 1177.3381, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.748, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8398, scimark_benchmark: 1849.8294, usercpu_time_millis: 5.677, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 4.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3813, kb_relative_information_score: -0.4233, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 4.681, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 3.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.085, 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: 1854.4431, usercpu_time_millis: 8.849, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 7.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0867, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1834.8102, usercpu_time_millis: 7.571, usercpu_time_millis_testing: 1.174, usercpu_time_millis_training: 6.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7364, kappa: 0.4692, kb_relative_information_score: 822.4134, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8708, scimark_benchmark: 1842.0729, usercpu_time_millis: 21.095, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 20.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7891, kappa: 0.5746, kb_relative_information_score: 1210.9173, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7891, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7994, scimark_benchmark: 1733.2459, usercpu_time_millis: 32.318, usercpu_time_millis_testing: 1.848, usercpu_time_millis_training: 30.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0294, 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: 1857.5664, usercpu_time_millis: 6.456, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 5.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0543, 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: 1819.5286, usercpu_time_millis: 8.919, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 7.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7527, kappa: 0.501, kb_relative_information_score: 935.9228, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.755, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8496, scimark_benchmark: 1834.2992, usercpu_time_millis: 30.437, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 29.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0082, 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: 1849.9051, usercpu_time_millis: 7.413, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 6.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.1191, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.5148, usercpu_time_millis: 4.541, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 3.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0095, 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: 1831.1542, usercpu_time_millis: 7.624, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 6.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.122, 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: 1847.8629, usercpu_time_millis: 5.862, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 4.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1311, 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: 1835.2001, usercpu_time_millis: 6.549, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 5.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1751, 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: 1839.7911, usercpu_time_millis: 7.513, usercpu_time_millis_testing: 1.177, usercpu_time_millis_training: 6.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3813, kb_relative_information_score: -0.1856, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1837.8616, usercpu_time_millis: 4.948, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 4.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.5547, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1843.3311, usercpu_time_millis: 4.634, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 3.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1698, 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: 1828.1532, usercpu_time_millis: 4.778, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 4.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -1.2859, 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: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1839.7911, usercpu_time_millis: 4.422, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 3.755,
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: 0.7941, 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: 0.8311, 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: 0.8155, 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: 0.7996, 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: 0.8112, 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: 0.8126, 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: 0.8105, f_measure: 0.7375, kappa: 0.4726, kb_relative_information_score: 1037.3754, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7387, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8617, scimark_benchmark: 1849.408, usercpu_time_millis: 209.878, usercpu_time_millis_testing: 1.279, usercpu_time_millis_training: 208.599,
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: 0.8482, f_measure: 0.7782, kappa: 0.5526, kb_relative_information_score: 1412.7858, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.796, scimark_benchmark: 1838.2459, usercpu_time_millis: 164.982, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 164.128,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 899.945, mean_absolute_error: 0.3967, 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: 0.799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.879, scimark_benchmark: 1836.3202, usercpu_time_millis: 183.965, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 182.733,
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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: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1193, 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: 1814.5596, usercpu_time_millis: 8.933, usercpu_time_millis_testing: 1.36, usercpu_time_millis_training: 7.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7539, kappa: 0.5037, kb_relative_information_score: 903.1525, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8511, scimark_benchmark: 1837.345, usercpu_time_millis: 15.728, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 14.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0858, 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: 1845.264, usercpu_time_millis: 6.898, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 5.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0076, 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: 1821.2993, usercpu_time_millis: 9.821, usercpu_time_millis_testing: 1.399, usercpu_time_millis_training: 8.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0328, 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: 1835.8406, usercpu_time_millis: 8.402, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 7.162,
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: 0.4999, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0006, 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: 1846.8212, usercpu_time_millis: 10.734, usercpu_time_millis_testing: 1.513, usercpu_time_millis_training: 9.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1477, 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: 1797.9581, usercpu_time_millis: 7.792, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 6.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7252, kappa: 0.4456, kb_relative_information_score: 666.1905, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7253, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.888, scimark_benchmark: 781.2859, usercpu_time_millis: 16.309, usercpu_time_millis_testing: 1.449, usercpu_time_millis_training: 14.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1545, 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: 1854.9561, usercpu_time_millis: 6.627, usercpu_time_millis_testing: 1.061, usercpu_time_millis_training: 5.566,
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,
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: 0.5001, 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: 0.5002, 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: 0.4994, 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: 0.4991, 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: 0.499, f_measure: 0.3813, kb_relative_information_score: -0.0643, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1811.2636, usercpu_time_millis: 9.408, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 7.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: -0.094, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1810.5139, usercpu_time_millis: 5.085, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 4.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.1164, 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: 1755.7828, usercpu_time_millis: 7.532, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 6.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3813, kb_relative_information_score: -0.0761, 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: 1809.8283, usercpu_time_millis: 4.43, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 3.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1217, 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: 1801.6523, usercpu_time_millis: 9.155, usercpu_time_millis_testing: 1.418, usercpu_time_millis_training: 7.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7561, kappa: 0.508, kb_relative_information_score: 1251.9211, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7594, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8234, scimark_benchmark: 1722.1338, usercpu_time_millis: 354.563, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 353.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 928.943, mean_absolute_error: 0.3929, 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: 0.7914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8739, scimark_benchmark: 1828.158, usercpu_time_millis: 306.144, usercpu_time_millis_testing: 1.62, usercpu_time_millis_training: 304.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 901.1996, 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: 0.4342, root_relative_squared_error: 0.8715, scimark_benchmark: 1850.2875, usercpu_time_millis: 247.388, usercpu_time_millis_testing: 1.418, usercpu_time_millis_training: 245.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7474, kappa: 0.4907, kb_relative_information_score: 1180.4204, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7523, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8395, scimark_benchmark: 1855.0231, usercpu_time_millis: 236.676, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 235.795,

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