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: 0.9924, f_measure: 0.9645, kappa: 0.9128, kb_relative_information_score: 29253.5211, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3715, scimark_benchmark: 1853.3841, usercpu_time_millis: 328.323, usercpu_time_millis_testing: 1.22, usercpu_time_millis_training: 327.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9565, kappa: 0.8927, kb_relative_information_score: 26933.5219, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4167, scimark_benchmark: 1836.7415, usercpu_time_millis: 367.288, usercpu_time_millis_testing: 16.152, usercpu_time_millis_training: 351.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9307, kappa: 0.8273, kb_relative_information_score: 25103.724, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.932, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.4982, scimark_benchmark: 1836.2249, usercpu_time_millis: 445.653, usercpu_time_millis_testing: 4.445, usercpu_time_millis_training: 441.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.917, kappa: 0.7911, kb_relative_information_score: 24252.3146, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9223, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.235, root_relative_squared_error: 0.5202, scimark_benchmark: 1853.454, usercpu_time_millis: 611.077, usercpu_time_millis_testing: 6.564, usercpu_time_millis_training: 604.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9135, kappa: 0.7826, kb_relative_information_score: 23955.3089, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9178, predictive_accuracy: 0.9164, prior_entropy: 0.863, recall: 0.9164, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.5317, scimark_benchmark: 1852.9259, usercpu_time_millis: 752.406, usercpu_time_millis_testing: 3.847, usercpu_time_millis_training: 748.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9336, kappa: 0.8352, kb_relative_information_score: 25299.7088, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4961, scimark_benchmark: 977.1296, usercpu_time_millis: 2966.248, usercpu_time_millis_testing: 9.227, usercpu_time_millis_training: 2957.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9441, kappa: 0.8623, kb_relative_information_score: 26569.9822, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.944, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4542, scimark_benchmark: 1187.6965, usercpu_time_millis: 1053.287, usercpu_time_millis_testing: 7.767, usercpu_time_millis_training: 1045.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8677, kappa: 0.6786, kb_relative_information_score: 17481.515, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8693, predictive_accuracy: 0.8666, prior_entropy: 0.863, recall: 0.8666, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6836, scimark_benchmark: 1179.4729, usercpu_time_millis: 850.634, usercpu_time_millis_testing: 4.906, usercpu_time_millis_training: 845.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9624, kappa: 0.9078, kb_relative_information_score: 28928.0135, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3809, scimark_benchmark: 969.2409, usercpu_time_millis: 5060.415, usercpu_time_millis_testing: 17.296, usercpu_time_millis_training: 5043.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9688, kappa: 0.9235, kb_relative_information_score: 29843.5097, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9688, predictive_accuracy: 0.9689, prior_entropy: 0.863, recall: 0.9689, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3448, scimark_benchmark: 1091.8233, usercpu_time_millis: 6499.406, usercpu_time_millis_testing: 44.227, usercpu_time_millis_training: 6455.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29671.8432, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3551, scimark_benchmark: 2117.7584, usercpu_time_millis: 1797.584, usercpu_time_millis_testing: 6.345, usercpu_time_millis_training: 1791.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9635, kappa: 0.9103, kb_relative_information_score: 30107.1468, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3696, scimark_benchmark: 1246.0123, usercpu_time_millis: 374.15, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 373.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9238, kappa: 0.8091, kb_relative_information_score: 24803.2557, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9267, predictive_accuracy: 0.9258, prior_entropy: 0.863, recall: 0.9258, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.5097, scimark_benchmark: 1843.2259, usercpu_time_millis: 1762.879, usercpu_time_millis_testing: 10.201, usercpu_time_millis_training: 1752.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9319, kappa: 0.8307, kb_relative_information_score: 25174.4286, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9328, predictive_accuracy: 0.933, prior_entropy: 0.863, recall: 0.933, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4999, scimark_benchmark: 1210.9696, usercpu_time_millis: 151.819, usercpu_time_millis_testing: 0.948, usercpu_time_millis_training: 150.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9218, kappa: 0.8037, kb_relative_information_score: 24631.3931, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9241, prior_entropy: 0.863, recall: 0.9241, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5082, scimark_benchmark: 1231.1852, usercpu_time_millis: 554.584, usercpu_time_millis_testing: 5.687, usercpu_time_millis_training: 548.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 29335.9724, mean_absolute_error: 0.0637, 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: 0.156, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3716, scimark_benchmark: 1840.0066, usercpu_time_millis: 2498.87, usercpu_time_millis_testing: 7.988, usercpu_time_millis_training: 2490.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9678, kappa: 0.9209, kb_relative_information_score: 29588.1475, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3523, scimark_benchmark: 1168.9914, usercpu_time_millis: 1049.239, usercpu_time_millis_testing: 10.585, usercpu_time_millis_training: 1038.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9689, kappa: 0.9237, kb_relative_information_score: 29913.444, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.9689, prior_entropy: 0.863, recall: 0.9689, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.3413, scimark_benchmark: 1189.0479, usercpu_time_millis: 1644.906, usercpu_time_millis_testing: 16.697, usercpu_time_millis_training: 1628.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9678, kappa: 0.9209, kb_relative_information_score: 29722.5732, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3534, scimark_benchmark: 1843.7454, usercpu_time_millis: 2183.029, usercpu_time_millis_testing: 7.086, usercpu_time_millis_training: 2175.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9618, kappa: 0.9061, kb_relative_information_score: 28770.4145, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3844, scimark_benchmark: 1084.1872, usercpu_time_millis: 4941.201, usercpu_time_millis_testing: 30.638, usercpu_time_millis_training: 4910.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9263, kappa: 0.8158, kb_relative_information_score: 24541.9725, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9287, predictive_accuracy: 0.9281, prior_entropy: 0.863, recall: 0.9281, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.5046, scimark_benchmark: 1066.775, usercpu_time_millis: 246.627, usercpu_time_millis_testing: 4.142, usercpu_time_millis_training: 242.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9665, kappa: 0.9178, kb_relative_information_score: 29734.8107, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3589, scimark_benchmark: 1178.8678, usercpu_time_millis: 11076.596, usercpu_time_millis_testing: 23.4, usercpu_time_millis_training: 11053.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.966, kappa: 0.9167, kb_relative_information_score: 29738.8334, mean_absolute_error: 0.0587, 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: 0.1439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3601, scimark_benchmark: 1233.1288, usercpu_time_millis: 3168.347, usercpu_time_millis_testing: 7.17, usercpu_time_millis_training: 3161.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9485, kappa: 0.8736, kb_relative_information_score: 27352.6948, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4403, scimark_benchmark: 1252.9526, usercpu_time_millis: 12729.005, usercpu_time_millis_testing: 25.322, usercpu_time_millis_training: 12703.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -13.6603, 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: 1123.7807, usercpu_time_millis: 41.203, usercpu_time_millis_testing: 2.816, usercpu_time_millis_training: 38.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.0282, 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: 1070.701, usercpu_time_millis: 72.07, usercpu_time_millis_testing: 5.268, usercpu_time_millis_training: 66.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29320.0708, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3678, scimark_benchmark: 1121.548, usercpu_time_millis: 6221.104, usercpu_time_millis_testing: 26.093, usercpu_time_millis_training: 6195.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9419, kappa: 0.856, kb_relative_information_score: 24973.5138, mean_absolute_error: 0.1223, 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: 0.2997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4727, scimark_benchmark: 1175.387, usercpu_time_millis: 113.874, usercpu_time_millis_testing: 3.717, usercpu_time_millis_training: 110.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9353, kappa: 0.8397, kb_relative_information_score: 25688.4606, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9362, prior_entropy: 0.863, recall: 0.9362, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.4858, scimark_benchmark: 1146.6379, usercpu_time_millis: 272.986, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 271.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.392, 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: 1198.3694, usercpu_time_millis: 151.164, usercpu_time_millis_testing: 11.47, usercpu_time_millis_training: 139.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9531, kappa: 0.8849, kb_relative_information_score: 27928.8074, mean_absolute_error: 0.0806, 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: 0.1976, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4189, scimark_benchmark: 1837.0722, usercpu_time_millis: 112.897, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 112.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9323, kappa: 0.8317, kb_relative_information_score: 25193.3935, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9334, prior_entropy: 0.863, recall: 0.9334, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4964, scimark_benchmark: 1844.8764, usercpu_time_millis: 2262.861, usercpu_time_millis_testing: 10.584, usercpu_time_millis_training: 2252.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9374, kappa: 0.8452, kb_relative_information_score: 25791.3503, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9376, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4764, scimark_benchmark: 1108.3892, usercpu_time_millis: 1956.821, usercpu_time_millis_testing: 14.535, usercpu_time_millis_training: 1942.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9607, kappa: 0.9035, kb_relative_information_score: 28236.5189, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3908, scimark_benchmark: 1035.3531, usercpu_time_millis: 139.537, usercpu_time_millis_testing: 3.38, usercpu_time_millis_training: 136.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9661, kappa: 0.9167, kb_relative_information_score: 29287.1305, mean_absolute_error: 0.0656, 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: 0.1607, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3614, scimark_benchmark: 1165.4817, usercpu_time_millis: 652.748, usercpu_time_millis_testing: 11.327, usercpu_time_millis_training: 641.421,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9616, kappa: 0.9057, kb_relative_information_score: 28799.9639, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3845, scimark_benchmark: 1011.2751, usercpu_time_millis: 217.97, usercpu_time_millis_testing: 1.984, usercpu_time_millis_training: 215.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9168, kappa: 0.7909, kb_relative_information_score: 24374.1133, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9218, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.5176, scimark_benchmark: 1721.4034, usercpu_time_millis: 2324.165, usercpu_time_millis_testing: 12.194, usercpu_time_millis_training: 2311.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9208, kappa: 0.8014, kb_relative_information_score: 22841.1549, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9245, predictive_accuracy: 0.9232, prior_entropy: 0.863, recall: 0.9232, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5271, scimark_benchmark: 1728.9285, usercpu_time_millis: 307.625, usercpu_time_millis_testing: 8.927, usercpu_time_millis_training: 298.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9599, kappa: 0.9015, kb_relative_information_score: 28411.1306, mean_absolute_error: 0.0763, 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: 0.1869, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.3921, scimark_benchmark: 1732.4995, usercpu_time_millis: 392.504, usercpu_time_millis_testing: 8.245, usercpu_time_millis_training: 384.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9327, kappa: 0.8327, kb_relative_information_score: 25088.1871, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9335, predictive_accuracy: 0.9338, prior_entropy: 0.863, recall: 0.9338, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.496, scimark_benchmark: 2117.8598, usercpu_time_millis: 532.766, usercpu_time_millis_testing: 4.741, usercpu_time_millis_training: 528.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9275, kappa: 0.8188, kb_relative_information_score: 24991.8311, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9296, predictive_accuracy: 0.9292, prior_entropy: 0.863, recall: 0.9292, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5028, scimark_benchmark: 1739.064, usercpu_time_millis: 439.894, usercpu_time_millis_testing: 2.575, usercpu_time_millis_training: 437.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8681, kappa: 0.6796, kb_relative_information_score: 17371.2687, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8696, predictive_accuracy: 0.8671, prior_entropy: 0.863, recall: 0.8671, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6853, scimark_benchmark: 1731.5003, usercpu_time_millis: 780.2, usercpu_time_millis_testing: 6.927, usercpu_time_millis_training: 773.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9609, kappa: 0.9039, kb_relative_information_score: 28676.0749, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3863, scimark_benchmark: 1728.4155, usercpu_time_millis: 949.848, usercpu_time_millis_testing: 9.891, usercpu_time_millis_training: 939.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9591, kappa: 0.8997, kb_relative_information_score: 28289.4424, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.395, scimark_benchmark: 1035.8498, usercpu_time_millis: 991.365, usercpu_time_millis_testing: 10.794, usercpu_time_millis_training: 980.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8745, kappa: 0.6933, kb_relative_information_score: 17031.437, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8749, predictive_accuracy: 0.8742, prior_entropy: 0.863, recall: 0.8742, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6574, scimark_benchmark: 1730.591, usercpu_time_millis: 26.89, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 25.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8607, kappa: 0.6632, kb_relative_information_score: 17221.6865, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8635, predictive_accuracy: 0.859, prior_entropy: 0.863, recall: 0.859, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6912, scimark_benchmark: 1721.4054, usercpu_time_millis: 1291.822, usercpu_time_millis_testing: 9.481, usercpu_time_millis_training: 1282.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9633, kappa: 0.9095, kb_relative_information_score: 27996.1476, mean_absolute_error: 0.0844, 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: 0.2069, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3849, scimark_benchmark: 1748.2197, usercpu_time_millis: 10.46, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 9.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -4.5434, 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: 1728.3663, usercpu_time_millis: 67.382, usercpu_time_millis_testing: 6.488, usercpu_time_millis_training: 60.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 27482.4204, mean_absolute_error: 0.0872, 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: 0.2137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4226, scimark_benchmark: 1711.1583, usercpu_time_millis: 1077.813, usercpu_time_millis_testing: 14.387, usercpu_time_millis_training: 1063.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.3302, 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: 1716.8263, usercpu_time_millis: 27.77, usercpu_time_millis_testing: 3.076, usercpu_time_millis_training: 24.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.662, 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: 1734.5807, usercpu_time_millis: 49.597, usercpu_time_millis_testing: 6.716, usercpu_time_millis_training: 42.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9322, kappa: 0.8313, kb_relative_information_score: 19810.7686, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9335, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5736, scimark_benchmark: 1733.7613, usercpu_time_millis: 89.795, usercpu_time_millis_testing: 5.363, usercpu_time_millis_training: 84.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9208, kappa: 0.8015, kb_relative_information_score: 24633.0016, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9241, predictive_accuracy: 0.9231, prior_entropy: 0.863, recall: 0.9231, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.233, root_relative_squared_error: 0.5157, scimark_benchmark: 1730.1903, usercpu_time_millis: 97.351, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 96.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9383, kappa: 0.8476, kb_relative_information_score: 25966.1658, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9389, prior_entropy: 0.863, recall: 0.9389, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4712, scimark_benchmark: 1727.5465, usercpu_time_millis: 604.155, usercpu_time_millis_testing: 7.029, usercpu_time_millis_training: 597.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9106, kappa: 0.7779, kb_relative_information_score: 21797.7838, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.911, predictive_accuracy: 0.912, prior_entropy: 0.863, recall: 0.912, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.562, scimark_benchmark: 1723.5031, usercpu_time_millis: 616.685, usercpu_time_millis_testing: 9.068, usercpu_time_millis_training: 607.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9161, kappa: 0.789, kb_relative_information_score: 23539.6063, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9206, predictive_accuracy: 0.9189, prior_entropy: 0.863, recall: 0.9189, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5247, scimark_benchmark: 1734.7927, usercpu_time_millis: 77.451, usercpu_time_millis_testing: 1.409, usercpu_time_millis_training: 76.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 28890.2007, mean_absolute_error: 0.0702, 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: 0.172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3794, scimark_benchmark: 1729.4878, usercpu_time_millis: 158.827, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 157.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.9702, 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: 1724.8648, usercpu_time_millis: 58.774, usercpu_time_millis_testing: 5.798, usercpu_time_millis_training: 52.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9575, kappa: 0.8951, kb_relative_information_score: 26440.1165, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4218, scimark_benchmark: 1725.3223, usercpu_time_millis: 239.739, usercpu_time_millis_testing: 11.476, usercpu_time_millis_training: 228.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8616, kappa: 0.664, kb_relative_information_score: 17066.1893, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8633, predictive_accuracy: 0.8604, prior_entropy: 0.863, recall: 0.8604, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6941, scimark_benchmark: 1734.2107, usercpu_time_millis: 566.574, usercpu_time_millis_testing: 6.338, usercpu_time_millis_training: 560.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9602, kappa: 0.9022, kb_relative_information_score: 28484.4758, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3901, scimark_benchmark: 1719.131, usercpu_time_millis: 867.001, usercpu_time_millis_testing: 13.657, usercpu_time_millis_training: 853.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9169, kappa: 0.7912, kb_relative_information_score: 24088.7772, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5246, scimark_benchmark: 1729.728, usercpu_time_millis: 902.89, usercpu_time_millis_testing: 4.778, usercpu_time_millis_training: 898.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9542, kappa: 0.8875, kb_relative_information_score: 27558.4784, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4212, scimark_benchmark: 1720.9479, usercpu_time_millis: 682.759, usercpu_time_millis_testing: 15.08, usercpu_time_millis_training: 667.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9546, kappa: 0.8884, kb_relative_information_score: 27107.3298, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4217, scimark_benchmark: 1734.8034, usercpu_time_millis: 690.562, usercpu_time_millis_testing: 15.748, usercpu_time_millis_training: 674.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 29333.9091, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3693, scimark_benchmark: 1724.8648, usercpu_time_millis: 1565.389, usercpu_time_millis_testing: 4.748, usercpu_time_millis_training: 1560.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9147, kappa: 0.7853, kb_relative_information_score: 24443.5065, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9199, predictive_accuracy: 0.9177, prior_entropy: 0.863, recall: 0.9177, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5308, scimark_benchmark: 1731.1814, usercpu_time_millis: 1187.05, usercpu_time_millis_testing: 2.84, usercpu_time_millis_training: 1184.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9688, kappa: 0.9234, kb_relative_information_score: 29873.3193, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9688, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3494, scimark_benchmark: 1733.9206, usercpu_time_millis: 1986.582, usercpu_time_millis_testing: 6.011, usercpu_time_millis_training: 1980.571,

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