OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 28858.9908, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3755, scimark_benchmark: 1367.4633, usercpu_time_millis: 61.014, usercpu_time_millis_testing: 1.176, usercpu_time_millis_training: 59.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9451, kappa: 0.8644, kb_relative_information_score: 26107.8158, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4541, scimark_benchmark: 1367.5708, usercpu_time_millis: 1256.893, usercpu_time_millis_testing: 17.118, usercpu_time_millis_training: 1239.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.8987, kappa: 0.7466, kb_relative_information_score: 14161.2698, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9006, predictive_accuracy: 0.9014, prior_entropy: 0.863, recall: 0.9014, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.694, scimark_benchmark: 1373.4723, usercpu_time_millis: 115.43, usercpu_time_millis_testing: 8.124, usercpu_time_millis_training: 107.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9352, kappa: 0.8398, kb_relative_information_score: 26084.7245, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9359, prior_entropy: 0.863, recall: 0.9359, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4793, scimark_benchmark: 1369.3753, usercpu_time_millis: 3959.521, usercpu_time_millis_testing: 8.136, usercpu_time_millis_training: 3951.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9578, kappa: 0.8965, kb_relative_information_score: 28433.6285, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4023, scimark_benchmark: 1369.6334, usercpu_time_millis: 3570.862, usercpu_time_millis_testing: 5.751, usercpu_time_millis_training: 3565.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29526.7045, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3635, scimark_benchmark: 1367.7996, usercpu_time_millis: 2042.393, usercpu_time_millis_testing: 4.994, usercpu_time_millis_training: 2037.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9519, kappa: 0.8822, kb_relative_information_score: 27504.7656, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283, scimark_benchmark: 1373.0054, usercpu_time_millis: 1268.513, usercpu_time_millis_testing: 5.196, usercpu_time_millis_training: 1263.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9651, kappa: 0.9143, kb_relative_information_score: 29447.8274, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3667, scimark_benchmark: 1371.0637, usercpu_time_millis: 6900.846, usercpu_time_millis_testing: 10.553, usercpu_time_millis_training: 6890.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9152, kappa: 0.7867, kb_relative_information_score: 24398.3085, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9206, predictive_accuracy: 0.9183, prior_entropy: 0.863, recall: 0.9183, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5266, scimark_benchmark: 1371.3867, usercpu_time_millis: 3235.047, usercpu_time_millis_testing: 8.924, usercpu_time_millis_training: 3226.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8628, kappa: 0.6639, kb_relative_information_score: 16171.577, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8629, predictive_accuracy: 0.8627, prior_entropy: 0.863, recall: 0.8627, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.7093, scimark_benchmark: 1367.6699, usercpu_time_millis: 241.801, usercpu_time_millis_testing: 4.845, usercpu_time_millis_training: 236.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 27536.6437, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4211, scimark_benchmark: 1370.2622, usercpu_time_millis: 327.842, usercpu_time_millis_testing: 2.644, usercpu_time_millis_training: 325.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 29384.8514, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3671, scimark_benchmark: 1367.0426, usercpu_time_millis: 3173.364, usercpu_time_millis_testing: 6.43, usercpu_time_millis_training: 3166.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9498, kappa: 0.8767, kb_relative_information_score: 27354.3073, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9497, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4347, scimark_benchmark: 1374.3666, usercpu_time_millis: 2646.705, usercpu_time_millis_testing: 7.469, usercpu_time_millis_training: 2639.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9575, kappa: 0.8951, kb_relative_information_score: 26621.8429, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.4169, scimark_benchmark: 1367.6096, usercpu_time_millis: 278.654, usercpu_time_millis_testing: 8.923, usercpu_time_millis_training: 269.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9612, kappa: 0.9045, kb_relative_information_score: 28142.2425, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3899, scimark_benchmark: 1369.8852, usercpu_time_millis: 1054.985, usercpu_time_millis_testing: 17.885, usercpu_time_millis_training: 1037.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9506, kappa: 0.8787, kb_relative_information_score: 27570.2697, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4314, scimark_benchmark: 1369.5645, usercpu_time_millis: 4585.726, usercpu_time_millis_testing: 8.823, usercpu_time_millis_training: 4576.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9679, kappa: 0.9211, kb_relative_information_score: 29693.6246, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3536, scimark_benchmark: 1373.0147, usercpu_time_millis: 8676.41, usercpu_time_millis_testing: 23.097, usercpu_time_millis_training: 8653.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9683, kappa: 0.9222, kb_relative_information_score: 29662.2433, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3528, scimark_benchmark: 1365.5281, usercpu_time_millis: 4947.739, usercpu_time_millis_testing: 21.484, usercpu_time_millis_training: 4926.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9531, kappa: 0.885, kb_relative_information_score: 27552.1649, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9532, prior_entropy: 0.863, recall: 0.9532, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4252, scimark_benchmark: 1369.9438, usercpu_time_millis: 3554.09, usercpu_time_millis_testing: 14.612, usercpu_time_millis_training: 3539.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9409, kappa: 0.8543, kb_relative_information_score: 26242.5208, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4646, scimark_benchmark: 1377.2381, usercpu_time_millis: 176.585, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 175.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.918, kappa: 0.7939, kb_relative_information_score: 24512.9914, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9227, predictive_accuracy: 0.9208, prior_entropy: 0.863, recall: 0.9208, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5161, scimark_benchmark: 1360.7709, usercpu_time_millis: 2030.954, usercpu_time_millis_testing: 14.521, usercpu_time_millis_training: 2016.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 28672.4033, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3738, scimark_benchmark: 1333.8377, usercpu_time_millis: 695.964, usercpu_time_millis_testing: 17.993, usercpu_time_millis_training: 677.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9596, kappa: 0.9007, kb_relative_information_score: 28436.949, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3917, scimark_benchmark: 1371.486, usercpu_time_millis: 668.165, usercpu_time_millis_testing: 10.756, usercpu_time_millis_training: 657.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9184, kappa: 0.795, kb_relative_information_score: 24484.2959, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9212, prior_entropy: 0.863, recall: 0.9212, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5179, scimark_benchmark: 1370.6119, usercpu_time_millis: 812.536, usercpu_time_millis_testing: 6.767, usercpu_time_millis_training: 805.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 29553.8908, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3524, scimark_benchmark: 1372.4683, usercpu_time_millis: 2396.538, usercpu_time_millis_testing: 22.423, usercpu_time_millis_training: 2374.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9563, kappa: 0.8929, kb_relative_information_score: 28028.1202, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.4086, scimark_benchmark: 1369.9696, usercpu_time_millis: 133.258, usercpu_time_millis_testing: 1.343, usercpu_time_millis_training: 131.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9323, kappa: 0.8317, kb_relative_information_score: 25238.2088, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.933, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5, scimark_benchmark: 1373.7064, usercpu_time_millis: 4310.501, usercpu_time_millis_testing: 10.882, usercpu_time_millis_training: 4299.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9667, kappa: 0.9183, kb_relative_information_score: 29570.7321, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3571, scimark_benchmark: 1365.1102, usercpu_time_millis: 2100.671, usercpu_time_millis_testing: 10.037, usercpu_time_millis_training: 2090.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9485, kappa: 0.8736, kb_relative_information_score: 27124.5682, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4413, scimark_benchmark: 1372.9174, usercpu_time_millis: 3824.527, usercpu_time_millis_testing: 12.468, usercpu_time_millis_training: 3812.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9687, kappa: 0.9232, kb_relative_information_score: 29802.2241, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3505, scimark_benchmark: 1366.17, usercpu_time_millis: 2998.221, usercpu_time_millis_testing: 8.252, usercpu_time_millis_training: 2989.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9447, kappa: 0.8638, kb_relative_information_score: 26561.6656, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4522, scimark_benchmark: 1372.7234, usercpu_time_millis: 2986.237, usercpu_time_millis_testing: 20.481, usercpu_time_millis_training: 2965.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 28937.8787, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3774, scimark_benchmark: 1374.1659, usercpu_time_millis: 2313.656, usercpu_time_millis_testing: 11.236, usercpu_time_millis_training: 2302.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9185, kappa: 0.7954, kb_relative_information_score: 24628.3735, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.5168, scimark_benchmark: 1372.7258, usercpu_time_millis: 2152.848, usercpu_time_millis_testing: 4.476, usercpu_time_millis_training: 2148.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9321, kappa: 0.8312, kb_relative_information_score: 25212.0812, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9331, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4977, scimark_benchmark: 1373.6277, usercpu_time_millis: 382.263, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 381.073,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.966, kappa: 0.9165, kb_relative_information_score: 28830.9567, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3654, scimark_benchmark: 1364.9139, usercpu_time_millis: 291.027, usercpu_time_millis_testing: 9.225, usercpu_time_millis_training: 281.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9687, kappa: 0.9232, kb_relative_information_score: 29816.1798, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3491, scimark_benchmark: 1351.8346, usercpu_time_millis: 1485.239, usercpu_time_millis_testing: 4.356, usercpu_time_millis_training: 1480.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9686, kappa: 0.9231, kb_relative_information_score: 30041.2454, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.3462, scimark_benchmark: 1360.7514, usercpu_time_millis: 8081.357, usercpu_time_millis_testing: 19.657, usercpu_time_millis_training: 8061.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9569, kappa: 0.8937, kb_relative_information_score: 26376.18, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4235, scimark_benchmark: 1368.0394, usercpu_time_millis: 123.3, usercpu_time_millis_testing: 4.994, usercpu_time_millis_training: 118.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9394, kappa: 0.85, kb_relative_information_score: 25671.6402, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4726, scimark_benchmark: 1363.7547, usercpu_time_millis: 672.272, usercpu_time_millis_testing: 16.581, usercpu_time_millis_training: 655.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9436, kappa: 0.8608, kb_relative_information_score: 26120.0195, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4573, scimark_benchmark: 1372.4287, usercpu_time_millis: 931.113, usercpu_time_millis_testing: 18.521, usercpu_time_millis_training: 912.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9215, kappa: 0.8034, kb_relative_information_score: 24797.7157, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9245, predictive_accuracy: 0.9237, prior_entropy: 0.863, recall: 0.9237, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5144, scimark_benchmark: 1361.0456, usercpu_time_millis: 2202.17, usercpu_time_millis_testing: 4.03, usercpu_time_millis_training: 2198.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.953, kappa: 0.8845, kb_relative_information_score: 27513.9694, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4242, scimark_benchmark: 1354.1634, usercpu_time_millis: 909.191, usercpu_time_millis_testing: 13.186, usercpu_time_millis_training: 896.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.6816, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1369.1655, usercpu_time_millis: 44.174, usercpu_time_millis_testing: 4.629, usercpu_time_millis_training: 39.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9261, kappa: 0.8156, kb_relative_information_score: 18303.3855, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9278, predictive_accuracy: 0.9277, prior_entropy: 0.863, recall: 0.9277, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.606, scimark_benchmark: 1357.6611, usercpu_time_millis: 293.372, usercpu_time_millis_testing: 14.296, usercpu_time_millis_training: 279.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29890.9547, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3518, scimark_benchmark: 1362.5269, usercpu_time_millis: 9954.863, usercpu_time_millis_testing: 20.27, usercpu_time_millis_training: 9934.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9534, kappa: 0.8853, kb_relative_information_score: 26890.5802, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.426, scimark_benchmark: 1354.3834, usercpu_time_millis: 111.118, usercpu_time_millis_testing: 2.001, usercpu_time_millis_training: 109.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 29454.1247, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3674, scimark_benchmark: 1354.836, usercpu_time_millis: 356.281, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 355.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9514, kappa: 0.8807, kb_relative_information_score: 27652.8314, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9513, predictive_accuracy: 0.9514, prior_entropy: 0.863, recall: 0.9514, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4284, scimark_benchmark: 1353.0802, usercpu_time_millis: 2134.651, usercpu_time_millis_testing: 3.91, usercpu_time_millis_training: 2130.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.955, kappa: 0.8895, kb_relative_information_score: 27894.1572, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.417, scimark_benchmark: 1359.6506, usercpu_time_millis: 1295.432, usercpu_time_millis_testing: 4.224, usercpu_time_millis_training: 1291.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29381.8832, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3665, scimark_benchmark: 1356.3757, usercpu_time_millis: 2195.504, usercpu_time_millis_testing: 6.58, usercpu_time_millis_training: 2188.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9584, kappa: 0.898, kb_relative_information_score: 28460.8541, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1355.6566, usercpu_time_millis: 11406.528, usercpu_time_millis_testing: 22.901, usercpu_time_millis_training: 11383.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9652, kappa: 0.9145, kb_relative_information_score: 28974.0537, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3661, scimark_benchmark: 1351.9536, usercpu_time_millis: 96.993, usercpu_time_millis_testing: 1.961, usercpu_time_millis_training: 95.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9662, kappa: 0.917, kb_relative_information_score: 29401.5972, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3615, scimark_benchmark: 1352.6395, usercpu_time_millis: 1994.536, usercpu_time_millis_testing: 9.654, usercpu_time_millis_training: 1984.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9547, kappa: 0.8886, kb_relative_information_score: 27279.5307, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4211, scimark_benchmark: 1357.6937, usercpu_time_millis: 145.374, usercpu_time_millis_testing: 2.011, usercpu_time_millis_training: 143.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.943, kappa: 0.8598, kb_relative_information_score: 26542.594, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9429, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4637, scimark_benchmark: 1359.2763, usercpu_time_millis: 11732.243, usercpu_time_millis_testing: 22.951, usercpu_time_millis_training: 11709.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8686, kappa: 0.6803, kb_relative_information_score: 17378.1634, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8698, predictive_accuracy: 0.8678, prior_entropy: 0.863, recall: 0.8678, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6834, scimark_benchmark: 1351.7792, usercpu_time_millis: 907.666, usercpu_time_millis_testing: 4.86, usercpu_time_millis_training: 902.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 28985.6805, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.378, scimark_benchmark: 1358.0328, usercpu_time_millis: 2838.978, usercpu_time_millis_testing: 12.312, usercpu_time_millis_training: 2826.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9259, kappa: 0.8149, kb_relative_information_score: 24492.1027, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9281, predictive_accuracy: 0.9277, prior_entropy: 0.863, recall: 0.9277, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.5038, scimark_benchmark: 1353.1071, usercpu_time_millis: 421.663, usercpu_time_millis_testing: 3.107, usercpu_time_millis_training: 418.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9608, kappa: 0.9038, kb_relative_information_score: 28719.7072, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3888, scimark_benchmark: 1358.4144, usercpu_time_millis: 736.591, usercpu_time_millis_testing: 2.093, usercpu_time_millis_training: 734.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.939, kappa: 0.8491, kb_relative_information_score: 26177.2564, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9391, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4717, scimark_benchmark: 1355.8007, usercpu_time_millis: 4505.073, usercpu_time_millis_testing: 16.102, usercpu_time_millis_training: 4488.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.942, kappa: 0.8562, kb_relative_information_score: 22700.943, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9429, prior_entropy: 0.863, recall: 0.9429, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.5118, scimark_benchmark: 1360.1473, usercpu_time_millis: 138.912, usercpu_time_millis_testing: 5.13, usercpu_time_millis_training: 133.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -2.5404, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1359.5572, usercpu_time_millis: 54.299, usercpu_time_millis_testing: 8.449, usercpu_time_millis_training: 45.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.918, kappa: 0.794, kb_relative_information_score: 24471.9417, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9228, predictive_accuracy: 0.9208, prior_entropy: 0.863, recall: 0.9208, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.5194, scimark_benchmark: 1355.8997, usercpu_time_millis: 227.818, usercpu_time_millis_testing: 1.7, usercpu_time_millis_training: 226.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9155, kappa: 0.7874, kb_relative_information_score: 24359.4673, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.9185, prior_entropy: 0.863, recall: 0.9185, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5241, scimark_benchmark: 1337.0434, usercpu_time_millis: 3890.482, usercpu_time_millis_testing: 10.653, usercpu_time_millis_training: 3879.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9594, kappa: 0.9003, kb_relative_information_score: 28497.9306, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3945, scimark_benchmark: 1351.6904, usercpu_time_millis: 4108.956, usercpu_time_millis_testing: 23.873, usercpu_time_millis_training: 4085.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9657, kappa: 0.9158, kb_relative_information_score: 29379.1754, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3656, scimark_benchmark: 1355.0024, usercpu_time_millis: 10607.646, usercpu_time_millis_testing: 27.538, usercpu_time_millis_training: 10580.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.935, kappa: 0.8387, kb_relative_information_score: 25061.5679, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.9359, prior_entropy: 0.863, recall: 0.9359, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4883, scimark_benchmark: 1355.9174, usercpu_time_millis: 659.343, usercpu_time_millis_testing: 5.876, usercpu_time_millis_training: 653.467,

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