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: 0.9855, f_measure: 0.9571, kappa: 0.8947, kb_relative_information_score: 29500.7362, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1758.3875, usercpu_time_millis: 239.986, usercpu_time_millis_testing: 239.436, usercpu_time_millis_training: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9405, kappa: 0.8523, kb_relative_information_score: 23860.6256, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4915, scimark_benchmark: 1223.9623, usercpu_time_millis: 1361.061, usercpu_time_millis_testing: 53.202, usercpu_time_millis_training: 1307.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9551, kappa: 0.8898, kb_relative_information_score: 28889.5254, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4036, scimark_benchmark: 1722.2536, usercpu_time_millis: 309.211, usercpu_time_millis_testing: 308.647, usercpu_time_millis_training: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9398, kappa: 0.851, kb_relative_information_score: 25362.7518, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9401, predictive_accuracy: 0.9405, prior_entropy: 0.863, recall: 0.9405, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.473, scimark_benchmark: 1231.9598, usercpu_time_millis: 3594.545, usercpu_time_millis_testing: 82.971, usercpu_time_millis_training: 3511.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9373, kappa: 0.8446, kb_relative_information_score: 25452.4656, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9376, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.4784, scimark_benchmark: 1311.063, usercpu_time_millis: 171.6, usercpu_time_millis_testing: 8.697, usercpu_time_millis_training: 162.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.94, kappa: 0.8516, kb_relative_information_score: 25539.9255, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9403, predictive_accuracy: 0.9407, prior_entropy: 0.863, recall: 0.9407, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4714, scimark_benchmark: 1254.0612, usercpu_time_millis: 1869.583, usercpu_time_millis_testing: 68.162, usercpu_time_millis_training: 1801.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 28889.9197, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3728, scimark_benchmark: 1253.6226, usercpu_time_millis: 749.878, usercpu_time_millis_testing: 21.113, usercpu_time_millis_training: 728.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29802.83, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4094, scimark_benchmark: 1246.8291, usercpu_time_millis: 476.577, usercpu_time_millis_testing: 475.935, usercpu_time_millis_training: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9477, kappa: 0.8713, kb_relative_information_score: 26591.2153, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.948, prior_entropy: 0.863, recall: 0.948, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4445, scimark_benchmark: 1275.0185, usercpu_time_millis: 2710.72, usercpu_time_millis_testing: 47.256, usercpu_time_millis_training: 2663.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29142.1922, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4002, scimark_benchmark: 1708.5286, usercpu_time_millis: 293.895, usercpu_time_millis_testing: 293.289, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28756.643, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4059, scimark_benchmark: 1627.9298, usercpu_time_millis: 329.122, usercpu_time_millis_testing: 328.539, usercpu_time_millis_training: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9407, kappa: 0.8525, kb_relative_information_score: 21564.7663, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9418, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.5338, scimark_benchmark: 1243.756, usercpu_time_millis: 260.07, usercpu_time_millis_testing: 14.471, usercpu_time_millis_training: 245.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29898.528, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4165, scimark_benchmark: 1107.0709, usercpu_time_millis: 479.733, usercpu_time_millis_testing: 479.08, usercpu_time_millis_training: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9634, kappa: 0.9101, kb_relative_information_score: 28831.2904, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3764, scimark_benchmark: 1319.2369, usercpu_time_millis: 3638.96, usercpu_time_millis_testing: 56.767, usercpu_time_millis_training: 3582.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9551, kappa: 0.8898, kb_relative_information_score: 28889.5254, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4036, scimark_benchmark: 1075.7082, usercpu_time_millis: 570.802, usercpu_time_millis_testing: 569.957, usercpu_time_millis_training: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9636, kappa: 0.9106, kb_relative_information_score: 28839.3312, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3736, scimark_benchmark: 1319.0326, usercpu_time_millis: 1614.097, usercpu_time_millis_testing: 28.769, usercpu_time_millis_training: 1585.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9461, kappa: 0.8667, kb_relative_information_score: 25913.7058, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9462, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4541, scimark_benchmark: 1232.7836, usercpu_time_millis: 657.628, usercpu_time_millis_testing: 34.536, usercpu_time_millis_training: 623.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9452, kappa: 0.8642, kb_relative_information_score: 24987.1129, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9456, predictive_accuracy: 0.9458, prior_entropy: 0.863, recall: 0.9458, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4659, scimark_benchmark: 1304.2754, usercpu_time_millis: 1556.583, usercpu_time_millis_testing: 73.393, usercpu_time_millis_training: 1483.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9669, kappa: 0.9186, kb_relative_information_score: 29171.3011, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3569, scimark_benchmark: 1232.9171, usercpu_time_millis: 1306.504, usercpu_time_millis_testing: 33.45, usercpu_time_millis_training: 1273.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29722.0152, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3469, scimark_benchmark: 1324.1854, usercpu_time_millis: 1826.936, usercpu_time_millis_testing: 38.295, usercpu_time_millis_training: 1788.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9238, kb_relative_information_score: 29812.9299, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.3423, scimark_benchmark: 1298.0795, usercpu_time_millis: 689.037, usercpu_time_millis_testing: 14.543, usercpu_time_millis_training: 674.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.953, kappa: 0.8848, kb_relative_information_score: 28519.9706, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4103, scimark_benchmark: 1142.0908, usercpu_time_millis: 588.8, usercpu_time_millis_testing: 588.021, usercpu_time_millis_training: 0.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 29087.5359, mean_absolute_error: 0.0639, 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: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4008, scimark_benchmark: 1242.613, usercpu_time_millis: 622.253, usercpu_time_millis_testing: 621.386, usercpu_time_millis_training: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9572, kappa: 0.8942, kb_relative_information_score: 25664.5838, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4322, scimark_benchmark: 1293.4103, usercpu_time_millis: 434.16, usercpu_time_millis_testing: 23.861, usercpu_time_millis_training: 410.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9279, kappa: 0.8189, kb_relative_information_score: 18967.7681, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9328, predictive_accuracy: 0.9303, prior_entropy: 0.863, recall: 0.9303, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5859, scimark_benchmark: 1245.619, usercpu_time_millis: 1228.973, usercpu_time_millis_testing: 92.603, usercpu_time_millis_training: 1136.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.963, kappa: 0.9092, kb_relative_information_score: 28686.5769, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3786, scimark_benchmark: 1300.6941, usercpu_time_millis: 679.52, usercpu_time_millis_testing: 15.695, usercpu_time_millis_training: 663.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9193, kappa: 0.7967, kb_relative_information_score: 18168.5593, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9252, predictive_accuracy: 0.9222, prior_entropy: 0.863, recall: 0.9222, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.606, scimark_benchmark: 1270.1498, usercpu_time_millis: 1105.471, usercpu_time_millis_testing: 84.918, usercpu_time_millis_training: 1020.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9596, kappa: 0.9008, kb_relative_information_score: 28294.9854, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3922, scimark_benchmark: 1248.7302, usercpu_time_millis: 105.55, usercpu_time_millis_testing: 5.698, usercpu_time_millis_training: 99.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.962, kappa: 0.9066, kb_relative_information_score: 27956.5067, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3886, scimark_benchmark: 1282.8773, usercpu_time_millis: 2379.314, usercpu_time_millis_testing: 78.665, usercpu_time_millis_training: 2300.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9603, kappa: 0.9026, kb_relative_information_score: 28370.1433, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3902, scimark_benchmark: 1266.8298, usercpu_time_millis: 3687.783, usercpu_time_millis_testing: 64.594, usercpu_time_millis_training: 3623.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.96, kappa: 0.9017, kb_relative_information_score: 28324.1198, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3915, scimark_benchmark: 1258.3689, usercpu_time_millis: 1059.701, usercpu_time_millis_testing: 18.57, usercpu_time_millis_training: 1041.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9626, kappa: 0.908, kb_relative_information_score: 28550.4645, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3794, scimark_benchmark: 1251.6607, usercpu_time_millis: 2384.656, usercpu_time_millis_testing: 54.267, usercpu_time_millis_training: 2330.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9401, kappa: 0.8519, kb_relative_information_score: 25519.2386, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9403, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4706, scimark_benchmark: 1301.957, usercpu_time_millis: 2345.844, usercpu_time_millis_testing: 45.951, usercpu_time_millis_training: 2299.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9468, kappa: 0.8689, kb_relative_information_score: 26583.666, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9467, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4475, scimark_benchmark: 1250.8087, usercpu_time_millis: 800.589, usercpu_time_millis_testing: 14.755, usercpu_time_millis_training: 785.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.97, kappa: 0.9263, kb_relative_information_score: 29959.7264, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9699, predictive_accuracy: 0.97, prior_entropy: 0.863, recall: 0.97, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3373, scimark_benchmark: 1290.4987, usercpu_time_millis: 492.915, usercpu_time_millis_testing: 12.485, usercpu_time_millis_training: 480.43,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28637.9831, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.383, scimark_benchmark: 1333.3114, usercpu_time_millis: 6235.204, usercpu_time_millis_testing: 106.491, usercpu_time_millis_training: 6128.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9418, kappa: 0.8557, kb_relative_information_score: 24152.8037, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4851, scimark_benchmark: 1319.0988, usercpu_time_millis: 1454.64, usercpu_time_millis_testing: 55.3, usercpu_time_millis_training: 1399.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29629.445, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.348, scimark_benchmark: 1278.0824, usercpu_time_millis: 224.781, usercpu_time_millis_testing: 6.312, usercpu_time_millis_training: 218.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29394.2679, mean_absolute_error: 0.0648, 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: 0.1588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3524, scimark_benchmark: 1246.4474, usercpu_time_millis: 1337.897, usercpu_time_millis_testing: 42.287, usercpu_time_millis_training: 1295.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9482, kappa: 0.8725, kb_relative_information_score: 26589.5264, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9485, prior_entropy: 0.863, recall: 0.9485, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4434, scimark_benchmark: 1235.29, usercpu_time_millis: 885.094, usercpu_time_millis_testing: 19.095, usercpu_time_millis_training: 865.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9679, kappa: 0.9213, kb_relative_information_score: 29291.4741, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3526, scimark_benchmark: 1297.6566, usercpu_time_millis: 1006.092, usercpu_time_millis_testing: 33.649, usercpu_time_millis_training: 972.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9435, kappa: 0.8604, kb_relative_information_score: 25860.6682, mean_absolute_error: 0.109, 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: 0.267, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4606, scimark_benchmark: 1295.8542, usercpu_time_millis: 1823.046, usercpu_time_millis_testing: 76.428, usercpu_time_millis_training: 1746.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9355, kappa: 0.8398, kb_relative_information_score: 23251.3954, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9364, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.5082, scimark_benchmark: 1304.5841, usercpu_time_millis: 95.339, usercpu_time_millis_testing: 5.684, usercpu_time_millis_training: 89.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9593, kappa: 0.8999, kb_relative_information_score: 28003.4277, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1285.5087, usercpu_time_millis: 102.638, usercpu_time_millis_testing: 4.682, usercpu_time_millis_training: 97.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9611, kappa: 0.9046, kb_relative_information_score: 28585.9116, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3853, scimark_benchmark: 1287.6492, usercpu_time_millis: 2258.291, usercpu_time_millis_testing: 35.514, usercpu_time_millis_training: 2222.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9633, kappa: 0.9099, kb_relative_information_score: 28443.7594, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.377, scimark_benchmark: 1288.9874, usercpu_time_millis: 888.618, usercpu_time_millis_testing: 43.687, usercpu_time_millis_training: 844.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9542, kappa: 0.8867, kb_relative_information_score: 25755.3389, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4393, scimark_benchmark: 1274.9819, usercpu_time_millis: 405.493, usercpu_time_millis_testing: 20.265, usercpu_time_millis_training: 385.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9363, kappa: 0.8417, kb_relative_information_score: 22920.5489, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9371, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.5126, scimark_benchmark: 1301.9127, usercpu_time_millis: 99.494, usercpu_time_millis_testing: 7.503, usercpu_time_millis_training: 91.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9423, kappa: 0.8572, kb_relative_information_score: 25100.4681, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.943, prior_entropy: 0.863, recall: 0.943, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4691, scimark_benchmark: 1320.9769, usercpu_time_millis: 1970.864, usercpu_time_millis_testing: 66.651, usercpu_time_millis_training: 1904.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9698, kappa: 0.9259, kb_relative_information_score: 29804.2011, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3378, scimark_benchmark: 1286.2748, usercpu_time_millis: 350.233, usercpu_time_millis_testing: 10.726, usercpu_time_millis_training: 339.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9657, kappa: 0.9158, kb_relative_information_score: 29032.7753, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3618, scimark_benchmark: 1285.1867, usercpu_time_millis: 714.304, usercpu_time_millis_testing: 21.92, usercpu_time_millis_training: 692.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9604, kappa: 0.9021, kb_relative_information_score: 26326.836, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.4136, scimark_benchmark: 1268.1664, usercpu_time_millis: 759.733, usercpu_time_millis_testing: 40.097, usercpu_time_millis_training: 719.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9701, kappa: 0.9266, kb_relative_information_score: 30164.9544, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.863, recall: 0.9701, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.335, scimark_benchmark: 1288.1981, usercpu_time_millis: 3088.173, usercpu_time_millis_testing: 48.328, usercpu_time_millis_training: 3039.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9588, kappa: 0.8987, kb_relative_information_score: 27987.8175, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3999, scimark_benchmark: 1283.5515, usercpu_time_millis: 1328.977, usercpu_time_millis_testing: 65.598, usercpu_time_millis_training: 1263.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9521, kappa: 0.8822, kb_relative_information_score: 26806.3694, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9524, prior_entropy: 0.863, recall: 0.9524, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4315, scimark_benchmark: 1322.3049, usercpu_time_millis: 3098.221, usercpu_time_millis_testing: 72.499, usercpu_time_millis_training: 3025.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9643, kappa: 0.9123, kb_relative_information_score: 28885.4101, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3718, scimark_benchmark: 1291.9197, usercpu_time_millis: 2901.395, usercpu_time_millis_testing: 76.26, usercpu_time_millis_training: 2825.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9535, kappa: 0.8856, kb_relative_information_score: 27117.1612, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4259, scimark_benchmark: 1262.801, usercpu_time_millis: 438.77, usercpu_time_millis_testing: 12.018, usercpu_time_millis_training: 426.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 29436.7383, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 2152.7926, usercpu_time_millis: 102.162, usercpu_time_millis_testing: 101.738, usercpu_time_millis_training: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9648, kappa: 0.9136, kb_relative_information_score: 29256.9815, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.369, scimark_benchmark: 1289.4717, usercpu_time_millis: 82.614, usercpu_time_millis_testing: 5.431, usercpu_time_millis_training: 77.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30127.8295, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4483, scimark_benchmark: 1702.7475, usercpu_time_millis: 175.368, usercpu_time_millis_testing: 175.001, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 29567.3271, mean_absolute_error: 0.0569, 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: 0.1393, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4007, scimark_benchmark: 1750.9219, usercpu_time_millis: 195.817, usercpu_time_millis_testing: 195.324, usercpu_time_millis_training: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9571, kappa: 0.8947, kb_relative_information_score: 29500.7362, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1750.9219, usercpu_time_millis: 201.002, usercpu_time_millis_testing: 200.504, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9571, kappa: 0.8947, kb_relative_information_score: 29500.7362, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1830.5713, usercpu_time_millis: 238.588, usercpu_time_millis_testing: 238.04, usercpu_time_millis_training: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 29436.7383, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1835.8406, usercpu_time_millis: 240.496, usercpu_time_millis_testing: 239.942, usercpu_time_millis_training: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9533, kappa: 0.8844, kb_relative_information_score: 24837.381, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.454, scimark_benchmark: 1288.7826, usercpu_time_millis: 1024.594, usercpu_time_millis_testing: 56.003, usercpu_time_millis_training: 968.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9388, kappa: 0.8484, kb_relative_information_score: 25344.8645, mean_absolute_error: 0.115, 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: 0.2818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4764, scimark_benchmark: 1261.296, usercpu_time_millis: 771.95, usercpu_time_millis_testing: 24.166, usercpu_time_millis_training: 747.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9412, kappa: 0.8547, kb_relative_information_score: 25938.2239, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9413, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4635, scimark_benchmark: 1270.2102, usercpu_time_millis: 349.853, usercpu_time_millis_testing: 7.429, usercpu_time_millis_training: 342.424,

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

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