Task
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 145848 Supervised Classification ilpd 29462 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6778, kappa: 0.1862, kb_relative_information_score: 63.8411, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6704, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.9624, scimark_benchmark: 1868.2531, usercpu_time_millis: 9.723, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 8.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.6715, kappa: 0.1674, kb_relative_information_score: 69.8482, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6633, predictive_accuracy: 0.6895, prior_entropy: 0.8651, recall: 0.6895, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.9402, scimark_benchmark: 1816.7099, usercpu_time_millis: 4.454, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 3.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.6836, kappa: 0.1946, kb_relative_information_score: 61.0705, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6771, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.422, root_relative_squared_error: 0.9333, scimark_benchmark: 1743.6641, usercpu_time_millis: 1.046, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6755, kappa: 0.1723, kb_relative_information_score: 62.5077, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6685, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9332, scimark_benchmark: 1731.9787, usercpu_time_millis: 2.531, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 2.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.656, kappa: 0.1208, kb_relative_information_score: 65.4533, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6464, predictive_accuracy: 0.6844, prior_entropy: 0.8651, recall: 0.6844, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.9279, scimark_benchmark: 1766.9039, usercpu_time_millis: 6.61, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 5.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.6638, kappa: 0.1379, kb_relative_information_score: 62.5446, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6578, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.9267, scimark_benchmark: 1832.6098, usercpu_time_millis: 3.278, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 2.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.6689, kappa: 0.1495, kb_relative_information_score: 58.5342, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6679, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9267, scimark_benchmark: 1829.2465, usercpu_time_millis: 1.684, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 1.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.6826, kappa: 0.1913, kb_relative_information_score: 63.6313, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6762, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.9404, scimark_benchmark: 1766.981, usercpu_time_millis: 4.713, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 4.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.6801, kappa: 0.1808, kb_relative_information_score: 60.8685, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6764, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.9292, scimark_benchmark: 1872.4881, usercpu_time_millis: 3.615, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 3.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.6771, kappa: 0.1751, kb_relative_information_score: 62.9384, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6709, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.9336, scimark_benchmark: 1788.3886, usercpu_time_millis: 7.675, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 6.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.6504, kappa: 0.1035, kb_relative_information_score: 56.5206, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6575, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.9263, scimark_benchmark: 1835.6688, usercpu_time_millis: 1.413, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.6709, kappa: 0.159, kb_relative_information_score: 62.3388, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6639, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.9359, scimark_benchmark: 1790.1148, usercpu_time_millis: 0.991, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.6689, kappa: 0.1513, kb_relative_information_score: 64.7763, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6635, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.9263, scimark_benchmark: 1772.0904, usercpu_time_millis: 5.736, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 5.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.676, kappa: 0.1717, kb_relative_information_score: 59.6568, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.67, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9324, scimark_benchmark: 1866.4683, usercpu_time_millis: 1.005, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.656, kappa: 0.117, kb_relative_information_score: 58.0067, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6497, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.9276, scimark_benchmark: 1806.72, usercpu_time_millis: 2.664, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 2.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.6628, kappa: 0.1352, kb_relative_information_score: 61.1792, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6777, predictive_accuracy: 0.7187, prior_entropy: 0.8651, recall: 0.7187, relative_absolute_error: 0.8609, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9207, scimark_benchmark: 1751.5463, usercpu_time_millis: 5.276, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 4.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.6763, kappa: 0.1868, kb_relative_information_score: 58.8792, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6694, predictive_accuracy: 0.6878, prior_entropy: 0.8651, recall: 0.6878, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9961, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.41, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.649, kappa: 0.0987, kb_relative_information_score: 57.4483, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.649, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9267, scimark_benchmark: 1872.8797, usercpu_time_millis: 1.162, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 1.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.6714, kappa: 0.1579, kb_relative_information_score: 60.8469, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6663, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.928, scimark_benchmark: 1749.7962, usercpu_time_millis: 4.965, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 4.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.6728, kappa: 0.1603, kb_relative_information_score: 58.9494, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6704, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.9282, scimark_benchmark: 1874.977, usercpu_time_millis: 3.401, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 2.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.6715, kappa: 0.1631, kb_relative_information_score: 64.7213, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6637, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8448, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.9371, scimark_benchmark: 1750.0316, usercpu_time_millis: 7.981, usercpu_time_millis_testing: 1.029, usercpu_time_millis_training: 6.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.6699, kappa: 0.1605, kb_relative_information_score: 61.7641, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6616, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9431, scimark_benchmark: 1790.4896, usercpu_time_millis: 2.163, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 2.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.6672, kappa: 0.1545, kb_relative_information_score: 64.3798, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6586, predictive_accuracy: 0.6878, prior_entropy: 0.8651, recall: 0.6878, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9405, scimark_benchmark: 1866.0766, usercpu_time_millis: 3.749, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 3.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.6826, kappa: 0.1873, kb_relative_information_score: 61.891, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.679, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.9285, scimark_benchmark: 1800.6726, usercpu_time_millis: 5.574, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 4.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.6689, kappa: 0.1513, kb_relative_information_score: 62.1702, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6635, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9287, scimark_benchmark: 1761.8586, usercpu_time_millis: 5.003, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 4.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.6547, kappa: 0.1178, kb_relative_information_score: 66.9878, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6449, predictive_accuracy: 0.6827, prior_entropy: 0.8651, recall: 0.6827, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.935, scimark_benchmark: 1066.2502, usercpu_time_millis: 12.035, usercpu_time_millis_testing: 1.843, usercpu_time_millis_training: 10.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.6749, kappa: 0.1728, kb_relative_information_score: 63.455, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6673, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8461, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9414, scimark_benchmark: 1772.1241, usercpu_time_millis: 8.015, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 7.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.6533, kappa: 0.1095, kb_relative_information_score: 48.8577, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6474, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9459, scimark_benchmark: 1794.0001, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.649, kappa: 0.0987, kb_relative_information_score: 57.6171, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.649, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.9271, scimark_benchmark: 1874.5188, usercpu_time_millis: 2.192, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.6625, kappa: 0.1338, kb_relative_information_score: 60.86, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6576, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.9277, scimark_benchmark: 1871.9601, usercpu_time_millis: 4.502, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 3.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.6637, kappa: 0.1389, kb_relative_information_score: 61.5445, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6564, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.9298, scimark_benchmark: 1099.8955, usercpu_time_millis: 3.289, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 2.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.6712, kappa: 0.1635, kb_relative_information_score: 65.1678, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6631, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.9371, scimark_benchmark: 1864.5012, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.6638, kappa: 0.1379, kb_relative_information_score: 61.6185, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6578, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9284, scimark_benchmark: 1078.3864, usercpu_time_millis: 4.582, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 3.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6672, kappa: 0.1495, kb_relative_information_score: 64.5375, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6595, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.9328, scimark_benchmark: 1786.4173, usercpu_time_millis: 5.722, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 5.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.6728, kappa: 0.1595, kb_relative_information_score: 59.4085, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.673, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.9293, scimark_benchmark: 1866.9963, usercpu_time_millis: 0.641, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.572,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.6681, kappa: 0.1533, kb_relative_information_score: 66.2222, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.66, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9297, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.897, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.6742, kappa: 0.1692, kb_relative_information_score: 64.8734, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6669, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.9324, scimark_benchmark: 1775.8158, usercpu_time_millis: 2.463, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 2.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.6727, kappa: 0.1607, kb_relative_information_score: 63.9438, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6692, predictive_accuracy: 0.7067, prior_entropy: 0.8651, recall: 0.7067, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9272, scimark_benchmark: 1751.237, usercpu_time_millis: 3.637, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 3.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.6724, kappa: 0.1707, kb_relative_information_score: 67.2387, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6644, predictive_accuracy: 0.6895, prior_entropy: 0.8651, recall: 0.6895, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9473, scimark_benchmark: 1822.0243, usercpu_time_millis: 3.332, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 2.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.6801, kappa: 0.1923, kb_relative_information_score: 62.0019, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6728, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9663, scimark_benchmark: 1876.8275, usercpu_time_millis: 10.38, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 9.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.6742, kappa: 0.1692, kb_relative_information_score: 63.1967, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6669, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.9349, scimark_benchmark: 1872.5609, usercpu_time_millis: 6.689, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 6.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.6701, kappa: 0.1645, kb_relative_information_score: 65.2312, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6619, predictive_accuracy: 0.6878, prior_entropy: 0.8651, recall: 0.6878, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9523, scimark_benchmark: 1751.3544, usercpu_time_millis: 10.292, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 9.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.6664, kappa: 0.1441, kb_relative_information_score: 61.3519, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6616, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9296, scimark_benchmark: 1764.3758, usercpu_time_millis: 5.021, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 4.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.6714, kappa: 0.1579, kb_relative_information_score: 62.6353, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6663, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.9271, scimark_benchmark: 1872.4881, usercpu_time_millis: 3.784, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 3.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6612, kappa: 0.1323, kb_relative_information_score: 52.7579, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6535, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.9464, scimark_benchmark: 1838.048, usercpu_time_millis: 0.244, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.6727, kappa: 0.161, kb_relative_information_score: 61.5141, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6682, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9284, scimark_benchmark: 1870.4545, usercpu_time_millis: 4.527, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 4.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.6676, kappa: 0.1482, kb_relative_information_score: 60.492, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6617, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9295, scimark_benchmark: 1877.8658, usercpu_time_millis: 4.117, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 3.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.6771, kappa: 0.1751, kb_relative_information_score: 63.0923, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6709, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9317, scimark_benchmark: 1770.3021, usercpu_time_millis: 6.973, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 6.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.6607, kappa: 0.1344, kb_relative_information_score: 66.9306, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6515, predictive_accuracy: 0.6861, prior_entropy: 0.8651, recall: 0.6861, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.9299, scimark_benchmark: 1812.5905, usercpu_time_millis: 7.099, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 6.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.6739, kappa: 0.1645, kb_relative_information_score: 60.4957, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6691, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.9298, scimark_benchmark: 1872.8797, usercpu_time_millis: 1.664, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 1.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.6665, kappa: 0.1507, kb_relative_information_score: 63.4196, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6579, predictive_accuracy: 0.6895, prior_entropy: 0.8651, recall: 0.6895, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9368, scimark_benchmark: 1873.0711, usercpu_time_millis: 3.306, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 3.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6705, kappa: 0.1598, kb_relative_information_score: 66.7012, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6626, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.9299, scimark_benchmark: 1745.2573, usercpu_time_millis: 5.622, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.6597, kappa: 0.1258, kb_relative_information_score: 57.8564, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6566, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.9278, scimark_benchmark: 1877.4076, usercpu_time_millis: 1.873, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 1.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.6494, kappa: 0.0995, kb_relative_information_score: 59.3484, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6478, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.926, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.972, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.6702, kappa: 0.1531, kb_relative_information_score: 59.9395, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6687, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.9271, scimark_benchmark: 1083.9223, usercpu_time_millis: 5.528, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 4.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6692, kappa: 0.1567, kb_relative_information_score: 66.5976, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6611, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.932, scimark_benchmark: 1812.1131, usercpu_time_millis: 10.189, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 9.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6702, kappa: 0.1601, kb_relative_information_score: 64.6284, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6621, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.9352, scimark_benchmark: 1806.9713, usercpu_time_millis: 3.43, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 3.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.655, kappa: 0.1148, kb_relative_information_score: 54.8903, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6621, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.9293, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.71, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.6406, kappa: 0.0843, kb_relative_information_score: 58.7914, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6624, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.9218, scimark_benchmark: 1743.9277, usercpu_time_millis: 0.973, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.6696, kappa: 0.156, kb_relative_information_score: 65.135, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6622, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.9286, scimark_benchmark: 1752.736, usercpu_time_millis: 5.416, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 4.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6651, kappa: 0.141, kb_relative_information_score: 58.9852, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6597, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9283, scimark_benchmark: 1796.6316, usercpu_time_millis: 3.477, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 3.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.6842, kappa: 0.2013, kb_relative_information_score: 68.9452, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6771, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.9493, scimark_benchmark: 1756.264, usercpu_time_millis: 1.82, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.6866, kappa: 0.1968, kb_relative_information_score: 60.7923, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6848, predictive_accuracy: 0.717, prior_entropy: 0.8651, recall: 0.717, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.9318, scimark_benchmark: 1084.3488, usercpu_time_millis: 0.418, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.6687, kappa: 0.1521, kb_relative_information_score: 65.2904, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6619, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9314, scimark_benchmark: 1869.2942, usercpu_time_millis: 1.939, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 1.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.6636, kappa: 0.1394, kb_relative_information_score: 66.1636, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6557, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9295, scimark_benchmark: 1799.4019, usercpu_time_millis: 4.816, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 4.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.6797, kappa: 0.189, kb_relative_information_score: 66.4524, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6722, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9485, scimark_benchmark: 1762.9399, usercpu_time_millis: 1.774, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 1.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.6713, kappa: 0.1583, kb_relative_information_score: 61.4004, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6654, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.9322, scimark_benchmark: 1753.6457, usercpu_time_millis: 5.894, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 5.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6792, kappa: 0.1817, kb_relative_information_score: 62.6448, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6727, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9346, scimark_benchmark: 1763.8101, usercpu_time_millis: 2.103, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.896,

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