Task
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: 0.9628, kappa: 0.9086, kb_relative_information_score: 28669.869, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3797, scimark_benchmark: 1274.0131, usercpu_time_millis: 2474.875, usercpu_time_millis_testing: 87.561, usercpu_time_millis_training: 2387.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.927, kappa: 0.8177, kb_relative_information_score: 24733.6822, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.929, predictive_accuracy: 0.9287, prior_entropy: 0.863, recall: 0.9287, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5015, scimark_benchmark: 1228.1834, usercpu_time_millis: 3135.597, usercpu_time_millis_testing: 40.847, usercpu_time_millis_training: 3094.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.953, kappa: 0.8841, kb_relative_information_score: 26612.5199, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4306, scimark_benchmark: 1268.7018, usercpu_time_millis: 2047.017, usercpu_time_millis_testing: 54.566, usercpu_time_millis_training: 1992.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9088, kappa: 0.773, kb_relative_information_score: 19218.0461, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9094, predictive_accuracy: 0.9105, prior_entropy: 0.863, recall: 0.9105, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.265, root_relative_squared_error: 0.5868, scimark_benchmark: 1287.6283, usercpu_time_millis: 906.598, usercpu_time_millis_testing: 2.681, usercpu_time_millis_training: 903.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9589, kappa: 0.8989, kb_relative_information_score: 27737.5083, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4005, scimark_benchmark: 1279.9256, usercpu_time_millis: 1798.839, usercpu_time_millis_testing: 94.778, usercpu_time_millis_training: 1704.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9517, kappa: 0.8814, kb_relative_information_score: 27198.258, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4324, scimark_benchmark: 1224.682, usercpu_time_millis: 5075.434, usercpu_time_millis_testing: 59.489, usercpu_time_millis_training: 5015.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9559, kappa: 0.8918, kb_relative_information_score: 27968.1283, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4094, scimark_benchmark: 1242.962, usercpu_time_millis: 1817.975, usercpu_time_millis_testing: 24.362, usercpu_time_millis_training: 1793.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9573, kappa: 0.8953, kb_relative_information_score: 28117.6532, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4027, scimark_benchmark: 1245.2386, usercpu_time_millis: 4939.317, usercpu_time_millis_testing: 63.052, usercpu_time_millis_training: 4876.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9634, kappa: 0.9102, kb_relative_information_score: 29057.9894, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3738, scimark_benchmark: 1230.3977, usercpu_time_millis: 4241.28, usercpu_time_millis_testing: 38.473, usercpu_time_millis_training: 4202.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9406, kappa: 0.8531, kb_relative_information_score: 25676.2599, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4677, scimark_benchmark: 1268.1988, usercpu_time_millis: 2887.011, usercpu_time_millis_testing: 89.08, usercpu_time_millis_training: 2797.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29442.083, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3545, scimark_benchmark: 1270.869, usercpu_time_millis: 2355.332, usercpu_time_millis_testing: 54.81, usercpu_time_millis_training: 2300.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9212, kappa: 0.8016, kb_relative_information_score: 18279.5107, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9269, predictive_accuracy: 0.924, prior_entropy: 0.863, recall: 0.924, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.603, scimark_benchmark: 1257.125, usercpu_time_millis: 391.72, usercpu_time_millis_testing: 30.192, usercpu_time_millis_training: 361.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9403, kappa: 0.8525, kb_relative_information_score: 25775.9283, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9405, predictive_accuracy: 0.9409, prior_entropy: 0.863, recall: 0.9409, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4667, scimark_benchmark: 1263.624, usercpu_time_millis: 4676.846, usercpu_time_millis_testing: 84.674, usercpu_time_millis_training: 4592.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.8876, kappa: 0.7148, kb_relative_information_score: 12951.9418, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8985, predictive_accuracy: 0.8937, prior_entropy: 0.863, recall: 0.8937, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.719, scimark_benchmark: 1227.9637, usercpu_time_millis: 644.28, usercpu_time_millis_testing: 45.497, usercpu_time_millis_training: 598.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9543, kappa: 0.8877, kb_relative_information_score: 27457.3515, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4216, scimark_benchmark: 1267.3709, usercpu_time_millis: 4835.87, usercpu_time_millis_testing: 82.97, usercpu_time_millis_training: 4752.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9576, kappa: 0.8961, kb_relative_information_score: 28207.1061, mean_absolute_error: 0.0782, 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: 0.1917, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4011, scimark_benchmark: 1230.4425, usercpu_time_millis: 5515.743, usercpu_time_millis_testing: 71.305, usercpu_time_millis_training: 5444.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9397, kappa: 0.8507, kb_relative_information_score: 25053.4821, mean_absolute_error: 0.1204, 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: 0.2951, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4753, scimark_benchmark: 1233.9646, usercpu_time_millis: 202.348, usercpu_time_millis_testing: 10.314, usercpu_time_millis_training: 192.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9612, kappa: 0.9048, kb_relative_information_score: 24834.5337, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4239, scimark_benchmark: 1307.3212, usercpu_time_millis: 3505.156, usercpu_time_millis_testing: 6.873, usercpu_time_millis_training: 3498.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9658, kappa: 0.916, kb_relative_information_score: 29360.934, mean_absolute_error: 0.0643, 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: 0.1577, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.164, root_relative_squared_error: 0.363, scimark_benchmark: 1278.7813, usercpu_time_millis: 2200.437, usercpu_time_millis_testing: 21.426, usercpu_time_millis_training: 2179.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9663, kappa: 0.9174, kb_relative_information_score: 29444.4492, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3577, scimark_benchmark: 1273.3674, usercpu_time_millis: 5582.953, usercpu_time_millis_testing: 63.952, usercpu_time_millis_training: 5519.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9098, kappa: 0.7735, kb_relative_information_score: 17836.258, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9135, predictive_accuracy: 0.9127, prior_entropy: 0.863, recall: 0.9127, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.6192, scimark_benchmark: 1305.4622, usercpu_time_millis: 4630.529, usercpu_time_millis_testing: 16.994, usercpu_time_millis_training: 4613.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9309, kappa: 0.8266, kb_relative_information_score: 19330.2354, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.499, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5774, scimark_benchmark: 1246.1931, usercpu_time_millis: 461.388, usercpu_time_millis_testing: 31.642, usercpu_time_millis_training: 429.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9426, kappa: 0.8588, kb_relative_information_score: 26928.4612, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4552, scimark_benchmark: 1267.0201, usercpu_time_millis: 7543.746, usercpu_time_millis_testing: 1.173, usercpu_time_millis_training: 7542.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9298, kappa: 0.8239, kb_relative_information_score: 19242.323, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9341, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.262, root_relative_squared_error: 0.5799, scimark_benchmark: 1271.7998, usercpu_time_millis: 477.641, usercpu_time_millis_testing: 33.414, usercpu_time_millis_training: 444.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9682, kappa: 0.9221, kb_relative_information_score: 29817.0913, mean_absolute_error: 0.0586, 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: 0.1436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3459, scimark_benchmark: 1301.7369, usercpu_time_millis: 1010.538, usercpu_time_millis_testing: 11.726, usercpu_time_millis_training: 998.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9295, kappa: 0.8244, kb_relative_information_score: 22803.3119, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9308, prior_entropy: 0.863, recall: 0.9308, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5195, scimark_benchmark: 1269.4556, usercpu_time_millis: 693.403, usercpu_time_millis_testing: 37.325, usercpu_time_millis_training: 656.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9683, kappa: 0.9222, kb_relative_information_score: 29685.9314, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3484, scimark_benchmark: 1268.3064, usercpu_time_millis: 3914.903, usercpu_time_millis_testing: 67.042, usercpu_time_millis_training: 3847.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9555, kappa: 0.8908, kb_relative_information_score: 27847.7936, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.4135, scimark_benchmark: 1236.4331, usercpu_time_millis: 1588.661, usercpu_time_millis_testing: 17.416, usercpu_time_millis_training: 1571.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9603, kappa: 0.9023, kb_relative_information_score: 28220.4245, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3919, scimark_benchmark: 1219.4896, usercpu_time_millis: 1161.415, usercpu_time_millis_testing: 40.529, usercpu_time_millis_training: 1120.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.939, kappa: 0.849, kb_relative_information_score: 25414.1128, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9393, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4747, scimark_benchmark: 1268.3706, usercpu_time_millis: 1141.807, usercpu_time_millis_testing: 29.881, usercpu_time_millis_training: 1111.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9641, kappa: 0.9119, kb_relative_information_score: 29050.4056, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3704, scimark_benchmark: 1214.89, usercpu_time_millis: 253.388, usercpu_time_millis_testing: 8.591, usercpu_time_millis_training: 244.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9397, kappa: 0.8518, kb_relative_information_score: 26904.9957, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.9398, prior_entropy: 0.863, recall: 0.9398, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4631, scimark_benchmark: 1291.5216, usercpu_time_millis: 7402.227, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 7401.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9558, kappa: 0.8914, kb_relative_information_score: 27746.4558, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.4124, scimark_benchmark: 1268.657, usercpu_time_millis: 4719.554, usercpu_time_millis_testing: 101.843, usercpu_time_millis_training: 4617.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9584, kappa: 0.8979, kb_relative_information_score: 27880.4193, mean_absolute_error: 0.0833, 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: 0.2041, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4035, scimark_benchmark: 1259.8273, usercpu_time_millis: 734.128, usercpu_time_millis_testing: 19.769, usercpu_time_millis_training: 714.359,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9649, kappa: 0.9137, kb_relative_information_score: 28396.532, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3721, scimark_benchmark: 1282.9097, usercpu_time_millis: 847.39, usercpu_time_millis_testing: 45.733, usercpu_time_millis_training: 801.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9668, kappa: 0.9184, kb_relative_information_score: 29230.1228, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3565, scimark_benchmark: 1275.2383, usercpu_time_millis: 239.942, usercpu_time_millis_testing: 9.233, usercpu_time_millis_training: 230.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9611, kappa: 0.9043, kb_relative_information_score: 27915.6977, mean_absolute_error: 0.085, 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: 0.2082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3906, scimark_benchmark: 1269.2062, usercpu_time_millis: 509.376, usercpu_time_millis_testing: 22.091, usercpu_time_millis_training: 487.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9654, kappa: 0.9152, kb_relative_information_score: 30003.1649, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.353, scimark_benchmark: 1281.0478, usercpu_time_millis: 9477.362, usercpu_time_millis_testing: 42.483, usercpu_time_millis_training: 9434.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9161, kappa: 0.7884, kb_relative_information_score: 17826.6227, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9225, predictive_accuracy: 0.9193, prior_entropy: 0.863, recall: 0.9193, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6139, scimark_benchmark: 1272.9271, usercpu_time_millis: 248.293, usercpu_time_millis_testing: 19.55, usercpu_time_millis_training: 228.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9519, kappa: 0.8814, kb_relative_information_score: 26527.3395, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9523, prior_entropy: 0.863, recall: 0.9523, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4333, scimark_benchmark: 1265.6997, usercpu_time_millis: 755.992, usercpu_time_millis_testing: 26.489, usercpu_time_millis_training: 729.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9601, kappa: 0.9016, kb_relative_information_score: 27390.7886, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4012, scimark_benchmark: 1258.346, usercpu_time_millis: 789.107, usercpu_time_millis_testing: 32.174, usercpu_time_millis_training: 756.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9465, kappa: 0.8671, kb_relative_information_score: 23268.8253, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9473, prior_entropy: 0.863, recall: 0.9473, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4937, scimark_benchmark: 1268.3647, usercpu_time_millis: 917.625, usercpu_time_millis_testing: 61.208, usercpu_time_millis_training: 856.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9204, kappa: 0.7997, kb_relative_information_score: 18330.2446, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9262, predictive_accuracy: 0.9233, prior_entropy: 0.863, recall: 0.9233, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.272, root_relative_squared_error: 0.6022, scimark_benchmark: 1280.974, usercpu_time_millis: 1288.866, usercpu_time_millis_testing: 93.037, usercpu_time_millis_training: 1195.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9588, kappa: 0.8986, kb_relative_information_score: 27244.5119, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4058, scimark_benchmark: 1269.866, usercpu_time_millis: 353.916, usercpu_time_millis_testing: 19.592, usercpu_time_millis_training: 334.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9567, kappa: 0.8934, kb_relative_information_score: 27229.9186, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.187, root_relative_squared_error: 0.414, scimark_benchmark: 1279.4951, usercpu_time_millis: 1003.628, usercpu_time_millis_testing: 30.003, usercpu_time_millis_training: 973.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9521, kappa: 0.8815, kb_relative_information_score: 25313.3615, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9526, prior_entropy: 0.863, recall: 0.9526, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4505, scimark_benchmark: 1272.4609, usercpu_time_millis: 322.16, usercpu_time_millis_testing: 17.882, usercpu_time_millis_training: 304.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9626, kappa: 0.9081, kb_relative_information_score: 28335.2104, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3811, scimark_benchmark: 1271.0633, usercpu_time_millis: 373.748, usercpu_time_millis_testing: 15.734, usercpu_time_millis_training: 358.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9371, kappa: 0.8437, kb_relative_information_score: 23734.8086, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4978, scimark_benchmark: 1242.7939, usercpu_time_millis: 343.221, usercpu_time_millis_testing: 19.506, usercpu_time_millis_training: 323.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9452, kappa: 0.8644, kb_relative_information_score: 25739.1957, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9454, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4561, scimark_benchmark: 1261.6931, usercpu_time_millis: 1604.966, usercpu_time_millis_testing: 51.055, usercpu_time_millis_training: 1553.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9344, kappa: 0.8367, kb_relative_information_score: 20686.5859, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.555, scimark_benchmark: 1270.4008, usercpu_time_millis: 760.932, usercpu_time_millis_testing: 44.036, usercpu_time_millis_training: 716.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9508, kappa: 0.8785, kb_relative_information_score: 26290.1855, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.2577, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4397, scimark_benchmark: 1268.3691, usercpu_time_millis: 785.228, usercpu_time_millis_testing: 47.424, usercpu_time_millis_training: 737.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9366, kappa: 0.8426, kb_relative_information_score: 22902.3579, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9374, predictive_accuracy: 0.9376, prior_entropy: 0.863, recall: 0.9376, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5121, scimark_benchmark: 1271.978, usercpu_time_millis: 657.31, usercpu_time_millis_testing: 48.662, usercpu_time_millis_training: 608.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.965, kappa: 0.9137, kb_relative_information_score: 28071.0655, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.376, scimark_benchmark: 1265.365, usercpu_time_millis: 620.433, usercpu_time_millis_testing: 33.565, usercpu_time_millis_training: 586.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9427, kappa: 0.8579, kb_relative_information_score: 24378.518, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.863, recall: 0.9434, relative_absolute_error: 0.3223, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4803, scimark_benchmark: 1273.9638, usercpu_time_millis: 1721.94, usercpu_time_millis_testing: 75.16, usercpu_time_millis_training: 1646.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9579, kappa: 0.896, kb_relative_information_score: 26604.0462, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4173, scimark_benchmark: 1279.1063, usercpu_time_millis: 2071.65, usercpu_time_millis_testing: 92.765, usercpu_time_millis_training: 1978.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9129, kappa: 0.7804, kb_relative_information_score: 17541.8961, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9199, predictive_accuracy: 0.9165, prior_entropy: 0.863, recall: 0.9165, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.6207, scimark_benchmark: 1275.0047, usercpu_time_millis: 1216.438, usercpu_time_millis_testing: 96.887, usercpu_time_millis_training: 1119.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9217, kappa: 0.8031, kb_relative_information_score: 18421.7605, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9245, prior_entropy: 0.863, recall: 0.9245, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.5998, scimark_benchmark: 1273.6545, usercpu_time_millis: 854.213, usercpu_time_millis_testing: 58.443, usercpu_time_millis_training: 795.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9301, kappa: 0.8245, kb_relative_information_score: 19257.8599, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.9323, prior_entropy: 0.863, recall: 0.9323, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5793, scimark_benchmark: 1268.2872, usercpu_time_millis: 390.242, usercpu_time_millis_testing: 27.109, usercpu_time_millis_training: 363.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9408, kappa: 0.8532, kb_relative_information_score: 24786.1155, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4766, scimark_benchmark: 1275.6212, usercpu_time_millis: 2130.751, usercpu_time_millis_testing: 85.04, usercpu_time_millis_training: 2045.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9682, kappa: 0.9218, kb_relative_information_score: 29394.8278, mean_absolute_error: 0.0651, 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: 0.1596, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3498, scimark_benchmark: 1262.5643, usercpu_time_millis: 954.317, usercpu_time_millis_testing: 31.06, usercpu_time_millis_training: 923.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9542, kappa: 0.8869, kb_relative_information_score: 26214.9657, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4317, scimark_benchmark: 1264.9255, usercpu_time_millis: 2375.754, usercpu_time_millis_testing: 108.26, usercpu_time_millis_training: 2267.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.965, kappa: 0.9139, kb_relative_information_score: 28790.6686, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3695, scimark_benchmark: 1265.4468, usercpu_time_millis: 1630.463, usercpu_time_millis_testing: 68.518, usercpu_time_millis_training: 1561.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9332, kappa: 0.8338, kb_relative_information_score: 22045.3804, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9344, prior_entropy: 0.863, recall: 0.9344, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5293, scimark_benchmark: 1279.7137, usercpu_time_millis: 705.215, usercpu_time_millis_testing: 42.076, usercpu_time_millis_training: 663.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9536, kappa: 0.8852, kb_relative_information_score: 25214.4625, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4467, scimark_benchmark: 1277.7028, usercpu_time_millis: 66.894, usercpu_time_millis_testing: 4.982, usercpu_time_millis_training: 61.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9564, kappa: 0.8926, kb_relative_information_score: 27079.3629, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.4134, scimark_benchmark: 1257.8298, usercpu_time_millis: 1845.628, usercpu_time_millis_testing: 99.015, usercpu_time_millis_training: 1746.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 28560.9391, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3756, scimark_benchmark: 1300.1014, usercpu_time_millis: 1782.702, usercpu_time_millis_testing: 73.477, usercpu_time_millis_training: 1709.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9301, kappa: 0.826, kb_relative_information_score: 21910.3003, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9312, predictive_accuracy: 0.9314, prior_entropy: 0.863, recall: 0.9314, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.534, scimark_benchmark: 1280.0621, usercpu_time_millis: 206.943, usercpu_time_millis_testing: 11.16, usercpu_time_millis_training: 195.783,

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