OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32444 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9248, kappa: 0.8119, kb_relative_information_score: 24572.1318, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.504, scimark_benchmark: 1853.3841, usercpu_time_millis: 132.06, usercpu_time_millis_testing: 1.178, usercpu_time_millis_training: 130.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.8129, 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: 1844.2218, usercpu_time_millis: 51.485, usercpu_time_millis_testing: 5.679, usercpu_time_millis_training: 45.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9153, kappa: 0.7872, kb_relative_information_score: 21372.1132, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9193, predictive_accuracy: 0.918, prior_entropy: 0.863, recall: 0.918, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.5565, scimark_benchmark: 1855.0232, usercpu_time_millis: 66.841, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 65.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.939, kappa: 0.8491, kb_relative_information_score: 25433.1051, mean_absolute_error: 0.1138, 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: 0.2788, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4742, scimark_benchmark: 1853.454, usercpu_time_millis: 73.01, usercpu_time_millis_testing: 1.759, usercpu_time_millis_training: 71.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.0889, 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: 1730.0728, usercpu_time_millis: 21.241, usercpu_time_millis_testing: 1.908, usercpu_time_millis_training: 19.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -9.737, 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: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1116.5336, usercpu_time_millis: 34.91, usercpu_time_millis_testing: 5.392, usercpu_time_millis_training: 29.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.0452, 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: 1718.5161, usercpu_time_millis: 103.224, usercpu_time_millis_testing: 6.643, usercpu_time_millis_training: 96.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -3.8795, 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: 1716.1466, usercpu_time_millis: 19.928, usercpu_time_millis_testing: 2.905, usercpu_time_millis_training: 17.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 29013.3974, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3774, scimark_benchmark: 1712.7092, usercpu_time_millis: 363.067, usercpu_time_millis_testing: 2.161, usercpu_time_millis_training: 360.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 28192.4762, mean_absolute_error: 0.0781, 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: 0.1913, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074, scimark_benchmark: 1717.739, usercpu_time_millis: 237.674, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 236.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.922, kappa: 0.8048, kb_relative_information_score: 24830.1964, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.925, predictive_accuracy: 0.9242, prior_entropy: 0.863, recall: 0.9242, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.5134, scimark_benchmark: 1734.293, usercpu_time_millis: 355.71, usercpu_time_millis_testing: 1.302, usercpu_time_millis_training: 354.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9614, kappa: 0.9052, kb_relative_information_score: 28664.0302, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3865, scimark_benchmark: 1071.7047, usercpu_time_millis: 482.465, usercpu_time_millis_testing: 6.408, usercpu_time_millis_training: 476.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9212, kappa: 0.8024, kb_relative_information_score: 24669.314, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9247, predictive_accuracy: 0.9235, prior_entropy: 0.863, recall: 0.9235, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.514, scimark_benchmark: 1849.9051, usercpu_time_millis: 460.898, usercpu_time_millis_testing: 1.743, usercpu_time_millis_training: 459.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 29283.7013, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1849.8294, usercpu_time_millis: 604.623, usercpu_time_millis_testing: 7.483, usercpu_time_millis_training: 597.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9156, kappa: 0.7877, kb_relative_information_score: 24231.3097, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.921, predictive_accuracy: 0.9187, prior_entropy: 0.863, recall: 0.9187, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5256, scimark_benchmark: 1853.454, usercpu_time_millis: 754.638, usercpu_time_millis_testing: 2.904, usercpu_time_millis_training: 751.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9536, kappa: 0.8863, kb_relative_information_score: 27541.9951, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4231, scimark_benchmark: 1735.1328, usercpu_time_millis: 1244.452, usercpu_time_millis_testing: 13.166, usercpu_time_millis_training: 1231.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9157, kappa: 0.7878, kb_relative_information_score: 24306.5809, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9211, predictive_accuracy: 0.9187, prior_entropy: 0.863, recall: 0.9187, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.5253, scimark_benchmark: 1721.7423, usercpu_time_millis: 387.024, usercpu_time_millis_testing: 1.782, usercpu_time_millis_training: 385.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9469, kappa: 0.8693, kb_relative_information_score: 27182.0154, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9468, predictive_accuracy: 0.9471, prior_entropy: 0.863, recall: 0.9471, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4474, scimark_benchmark: 1730.4735, usercpu_time_millis: 5.206, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 4.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -7.9933, 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: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1725.4783, usercpu_time_millis: 4.667, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 4.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8671, kappa: 0.6757, kb_relative_information_score: 16581.0011, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8677, predictive_accuracy: 0.8666, prior_entropy: 0.863, recall: 0.8666, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6864, scimark_benchmark: 1789.9969, usercpu_time_millis: 25.771, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 25.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -10.3703, 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: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1729.728, usercpu_time_millis: 61.547, usercpu_time_millis_testing: 5.563, usercpu_time_millis_training: 55.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.966, kappa: 0.9165, kb_relative_information_score: 28977.7486, mean_absolute_error: 0.0705, 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: 0.1727, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3633, scimark_benchmark: 1719.5595, usercpu_time_millis: 276.689, usercpu_time_millis_testing: 8.454, usercpu_time_millis_training: 268.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.5238, 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: 1784.8621, usercpu_time_millis: 38.26, usercpu_time_millis_testing: 4.595, usercpu_time_millis_training: 33.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8771, kappa: 0.6999, kb_relative_information_score: 17510.3989, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8776, predictive_accuracy: 0.8767, prior_entropy: 0.863, recall: 0.8767, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.291, root_relative_squared_error: 0.6442, scimark_benchmark: 1733.3115, usercpu_time_millis: 324.872, usercpu_time_millis_testing: 10.298, usercpu_time_millis_training: 314.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8432, kappa: 0.5976, kb_relative_information_score: 11897.6354, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8714, predictive_accuracy: 0.8576, prior_entropy: 0.863, recall: 0.8576, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7422, scimark_benchmark: 1737.2983, usercpu_time_millis: 6.597, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 6.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9649, kappa: 0.9138, kb_relative_information_score: 29147.5173, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3688, scimark_benchmark: 1734.2699, usercpu_time_millis: 922.37, usercpu_time_millis_testing: 10.421, usercpu_time_millis_training: 911.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8688, kappa: 0.6805, kb_relative_information_score: 17410.2595, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8699, predictive_accuracy: 0.868, prior_entropy: 0.863, recall: 0.868, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6823, scimark_benchmark: 1731.6177, usercpu_time_millis: 242.692, usercpu_time_millis_testing: 2, usercpu_time_millis_training: 240.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -1.7098, mean_absolute_error: 0.408, 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: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1817.8137, usercpu_time_millis: 13.082, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 12.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.2945, 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: 1844.1673, usercpu_time_millis: 15.172, usercpu_time_millis_testing: 2.018, usercpu_time_millis_training: 13.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.1488, 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: 1969.5782, usercpu_time_millis: 25.606, usercpu_time_millis_testing: 5.917, usercpu_time_millis_training: 19.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8651, kappa: 0.6702, kb_relative_information_score: 16884.8985, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8655, predictive_accuracy: 0.8647, prior_entropy: 0.863, recall: 0.8647, relative_absolute_error: 0.5273, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6871, scimark_benchmark: 1972.6127, usercpu_time_millis: 76.028, usercpu_time_millis_testing: 1.227, usercpu_time_millis_training: 74.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8768, kappa: 0.6992, kb_relative_information_score: 17516.912, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8773, predictive_accuracy: 0.8765, prior_entropy: 0.863, recall: 0.8765, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.645, scimark_benchmark: 1853.9849, usercpu_time_millis: 183.702, usercpu_time_millis_testing: 7.48, usercpu_time_millis_training: 176.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8582, kappa: 0.6519, kb_relative_information_score: 15451.5652, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.858, predictive_accuracy: 0.8585, prior_entropy: 0.863, recall: 0.8585, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.7367, scimark_benchmark: 1848.8462, usercpu_time_millis: 242.308, usercpu_time_millis_testing: 7.536, usercpu_time_millis_training: 234.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8689, kappa: 0.6792, kb_relative_information_score: 16133.0334, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8691, predictive_accuracy: 0.8688, prior_entropy: 0.863, recall: 0.8688, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.683, scimark_benchmark: 1844.7928, usercpu_time_millis: 304.998, usercpu_time_millis_testing: 7.127, usercpu_time_millis_training: 297.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 27590.2732, mean_absolute_error: 0.0857, 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: 0.2099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4214, scimark_benchmark: 1857.102, usercpu_time_millis: 1577.199, usercpu_time_millis_testing: 19.026, usercpu_time_millis_training: 1558.173,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9149, kappa: 0.7859, kb_relative_information_score: 24387.4033, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.918, prior_entropy: 0.863, recall: 0.918, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5282, scimark_benchmark: 1859.2756, usercpu_time_millis: 986.786, usercpu_time_millis_testing: 2.384, usercpu_time_millis_training: 984.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9489, kappa: 0.8745, kb_relative_information_score: 27428.8734, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4369, scimark_benchmark: 1846.3057, usercpu_time_millis: 1668.518, usercpu_time_millis_testing: 2.334, usercpu_time_millis_training: 1666.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9005, kappa: 0.7535, kb_relative_information_score: 17994.3574, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9003, predictive_accuracy: 0.9016, prior_entropy: 0.863, recall: 0.9016, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.6262, scimark_benchmark: 2136.8497, usercpu_time_millis: 37.606, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 36.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9547, kappa: 0.8889, kb_relative_information_score: 27813.3609, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4157, scimark_benchmark: 1901.238, usercpu_time_millis: 121.471, usercpu_time_millis_testing: 1.639, usercpu_time_millis_training: 119.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9638, kappa: 0.9112, kb_relative_information_score: 29043.5527, mean_absolute_error: 0.0682, 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: 0.1671, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3743, scimark_benchmark: 2133.2352, usercpu_time_millis: 300.888, usercpu_time_millis_testing: 2.392, usercpu_time_millis_training: 298.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9655, kappa: 0.9152, kb_relative_information_score: 29169.6105, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3659, scimark_benchmark: 2143.9917, usercpu_time_millis: 315.744, usercpu_time_millis_testing: 5.866, usercpu_time_millis_training: 309.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 28983.2394, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3793, scimark_benchmark: 2118.4075, usercpu_time_millis: 146.576, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 145.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9676, kappa: 0.9205, kb_relative_information_score: 29377.174, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3514, scimark_benchmark: 2131.6906, usercpu_time_millis: 186.355, usercpu_time_millis_testing: 4.025, usercpu_time_millis_training: 182.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9157, kappa: 0.7879, kb_relative_information_score: 24380.8094, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.921, predictive_accuracy: 0.9187, prior_entropy: 0.863, recall: 0.9187, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.5242, scimark_benchmark: 2124.7247, usercpu_time_millis: 2136.55, usercpu_time_millis_testing: 9.126, usercpu_time_millis_training: 2127.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29551.0941, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3613, scimark_benchmark: 1853.454, usercpu_time_millis: 1975.271, usercpu_time_millis_testing: 7.845, usercpu_time_millis_training: 1967.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8594, kappa: 0.6614, kb_relative_information_score: 17325.4817, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8633, predictive_accuracy: 0.8573, prior_entropy: 0.863, recall: 0.8573, relative_absolute_error: 0.4993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.7016, scimark_benchmark: 1812.3792, usercpu_time_millis: 830.528, usercpu_time_millis_testing: 3.485, usercpu_time_millis_training: 827.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9636, kappa: 0.9107, kb_relative_information_score: 28809.9764, mean_absolute_error: 0.0719, 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: 0.1762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3743, scimark_benchmark: 1837.1638, usercpu_time_millis: 715.189, usercpu_time_millis_testing: 16.713, usercpu_time_millis_training: 698.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.8731, kappa: 0.6905, kb_relative_information_score: 17935.1159, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8738, predictive_accuracy: 0.8726, prior_entropy: 0.863, recall: 0.8726, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.6521, scimark_benchmark: 1841.3494, usercpu_time_millis: 1910.955, usercpu_time_millis_testing: 12.602, usercpu_time_millis_training: 1898.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9168, kappa: 0.7907, kb_relative_information_score: 24041.4419, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9221, predictive_accuracy: 0.9198, prior_entropy: 0.863, recall: 0.9198, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.5207, scimark_benchmark: 1850.8706, usercpu_time_millis: 2030.726, usercpu_time_millis_testing: 11.979, usercpu_time_millis_training: 2018.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9442, kappa: 0.8625, kb_relative_information_score: 26457.5988, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.9445, prior_entropy: 0.863, recall: 0.9445, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4618, scimark_benchmark: 1808.4131, usercpu_time_millis: 2130.355, usercpu_time_millis_testing: 7.966, usercpu_time_millis_training: 2122.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 28938.4238, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3797, scimark_benchmark: 1749.4084, usercpu_time_millis: 2002.085, usercpu_time_millis_testing: 11.675, usercpu_time_millis_training: 1990.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.963, kappa: 0.909, kb_relative_information_score: 28894.6943, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3776, scimark_benchmark: 1718.7437, usercpu_time_millis: 272.43, usercpu_time_millis_testing: 3.088, usercpu_time_millis_training: 269.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.8127, 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: 1091.0265, usercpu_time_millis: 168.475, usercpu_time_millis_testing: 10.581, usercpu_time_millis_training: 157.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 27577.9988, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4223, scimark_benchmark: 1725.3899, usercpu_time_millis: 642.212, usercpu_time_millis_testing: 5.01, usercpu_time_millis_training: 637.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9521, kappa: 0.8822, kb_relative_information_score: 26877.6828, mean_absolute_error: 0.0963, 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: 0.2359, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4312, scimark_benchmark: 1081.1738, usercpu_time_millis: 663.324, usercpu_time_millis_testing: 22.767, usercpu_time_millis_training: 640.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9366, kappa: 0.843, kb_relative_information_score: 25972.6647, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9367, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.4735, scimark_benchmark: 1079.7451, usercpu_time_millis: 743.179, usercpu_time_millis_testing: 5.006, usercpu_time_millis_training: 738.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9691, kappa: 0.9241, kb_relative_information_score: 29883.7606, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.142, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.3421, scimark_benchmark: 1088.8524, usercpu_time_millis: 769.694, usercpu_time_millis_testing: 6.048, usercpu_time_millis_training: 763.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9247, kappa: 0.8115, kb_relative_information_score: 24842.745, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9274, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5078, scimark_benchmark: 1080.8925, usercpu_time_millis: 931.25, usercpu_time_millis_testing: 4.211, usercpu_time_millis_training: 927.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.858, kappa: 0.6531, kb_relative_information_score: 15573.2416, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8585, predictive_accuracy: 0.8577, prior_entropy: 0.863, recall: 0.8577, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.739, scimark_benchmark: 1731.5337, usercpu_time_millis: 19.064, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 18.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -0.9604, 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: 1835.2001, usercpu_time_millis: 39.185, usercpu_time_millis_testing: 6.608, usercpu_time_millis_training: 32.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9332, kappa: 0.8338, kb_relative_information_score: 21268.8037, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5441, scimark_benchmark: 1729.4064, usercpu_time_millis: 140.9, usercpu_time_millis_testing: 7.331, usercpu_time_millis_training: 133.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8608, kappa: 0.6563, kb_relative_information_score: 14101.8632, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8601, predictive_accuracy: 0.862, prior_entropy: 0.863, recall: 0.862, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.7116, scimark_benchmark: 1847.8629, usercpu_time_millis: 84.883, usercpu_time_millis_testing: 4.796, usercpu_time_millis_training: 80.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8578, kappa: 0.6508, kb_relative_information_score: 15530.6285, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8575, predictive_accuracy: 0.8581, prior_entropy: 0.863, recall: 0.8581, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.7373, scimark_benchmark: 1828.6072, usercpu_time_millis: 136.289, usercpu_time_millis_testing: 4.175, usercpu_time_millis_training: 132.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9662, kappa: 0.917, kb_relative_information_score: 29386.5772, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3641, scimark_benchmark: 1852.0126, usercpu_time_millis: 275.082, usercpu_time_millis_testing: 1.805, usercpu_time_millis_training: 273.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.959, kappa: 0.8993, kb_relative_information_score: 28414.1359, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3955, scimark_benchmark: 1830.6487, usercpu_time_millis: 911.583, usercpu_time_millis_testing: 9.934, usercpu_time_millis_training: 901.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9609, kappa: 0.9039, kb_relative_information_score: 28574.6062, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3891, scimark_benchmark: 1846.89, usercpu_time_millis: 3334.633, usercpu_time_millis_testing: 21.383, usercpu_time_millis_training: 3313.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29616.8072, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3535, scimark_benchmark: 1840.3077, usercpu_time_millis: 199.222, usercpu_time_millis_testing: 1.972, usercpu_time_millis_training: 197.25,

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