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: 0.9873, f_measure: 0.9476, kappa: 0.8715, kb_relative_information_score: 28080.9646, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9476, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4331, scimark_benchmark: 1249.1432, usercpu_time_millis: 539.243, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 538.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9065, kappa: 0.7658, kb_relative_information_score: 18974.0151, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9089, predictive_accuracy: 0.909, prior_entropy: 0.863, recall: 0.909, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.6079, scimark_benchmark: 1260.605, usercpu_time_millis: 307.917, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 307.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.925, kappa: 0.8144, kb_relative_information_score: 20282.4857, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.925, predictive_accuracy: 0.9258, prior_entropy: 0.863, recall: 0.9258, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.577, scimark_benchmark: 1267.0476, usercpu_time_millis: 644.072, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 643.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.6895, kappa: 0.2115, kb_relative_information_score: 7582.3478, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8179, predictive_accuracy: 0.7594, prior_entropy: 0.863, recall: 0.7594, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.849, scimark_benchmark: 1255.4351, usercpu_time_millis: 52.504, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 51.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9359, kappa: 0.8425, kb_relative_information_score: 25555.7141, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9358, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4847, scimark_benchmark: 1266.4722, usercpu_time_millis: 463.208, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 462.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9273, kappa: 0.821, kb_relative_information_score: 22947.3084, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9272, predictive_accuracy: 0.9278, prior_entropy: 0.863, recall: 0.9278, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5324, scimark_benchmark: 1267.648, usercpu_time_millis: 498.34, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 497.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9459, kappa: 0.8671, kb_relative_information_score: 27416.4631, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9458, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4433, scimark_benchmark: 1275.3653, usercpu_time_millis: 67.912, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 66.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9438, kappa: 0.8622, kb_relative_information_score: 27558.9564, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9438, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.2048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4464, scimark_benchmark: 1274.2468, usercpu_time_millis: 395.017, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 394.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.6099, kappa: 0.0313, kb_relative_information_score: 4757.7587, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7992, predictive_accuracy: 0.7207, prior_entropy: 0.863, recall: 0.7207, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.9072, scimark_benchmark: 1262.6937, usercpu_time_millis: 127.408, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 126.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.936, kappa: 0.8428, kb_relative_information_score: 25626.6249, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9359, predictive_accuracy: 0.9362, prior_entropy: 0.863, recall: 0.9362, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4834, scimark_benchmark: 1278.9752, usercpu_time_millis: 628.347, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 627.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9449, kappa: 0.8647, kb_relative_information_score: 27633.8993, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4407, scimark_benchmark: 1278.8378, usercpu_time_millis: 780.249, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 779.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9424, kappa: 0.8585, kb_relative_information_score: 27286.4276, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.452, scimark_benchmark: 1275.5828, usercpu_time_millis: 538.066, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 536.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8539, kappa: 0.6298, kb_relative_information_score: -8675.6113, mean_absolute_error: 0.4586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8603, predictive_accuracy: 0.8612, prior_entropy: 0.863, recall: 0.8612, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4603, root_relative_squared_error: 1.019, scimark_benchmark: 1270.9836, usercpu_time_millis: 47.27, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 46.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9363, kappa: 0.8419, kb_relative_information_score: 22350.5239, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9371, prior_entropy: 0.863, recall: 0.9371, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.5056, scimark_benchmark: 1260.3151, usercpu_time_millis: 856.354, usercpu_time_millis_testing: 2.954, usercpu_time_millis_training: 853.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.937, kappa: 0.8451, kb_relative_information_score: 26085.9242, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9369, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4789, scimark_benchmark: 1254.1105, usercpu_time_millis: 84.117, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 83.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9543, kappa: 0.888, kb_relative_information_score: 27870.6342, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.4113, scimark_benchmark: 1281.0822, usercpu_time_millis: 275.549, usercpu_time_millis_testing: 1.531, usercpu_time_millis_training: 274.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9013, kappa: 0.7524, kb_relative_information_score: 18747.6762, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9045, predictive_accuracy: 0.9044, prior_entropy: 0.863, recall: 0.9044, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6126, scimark_benchmark: 1244.3428, usercpu_time_millis: 957.525, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 956.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9194, kappa: 0.7997, kb_relative_information_score: 20314.6681, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9201, predictive_accuracy: 0.9208, prior_entropy: 0.863, recall: 0.9208, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.5759, scimark_benchmark: 1266.5077, usercpu_time_millis: 568.182, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 567.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9432, kappa: 0.8601, kb_relative_information_score: 27039.0381, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9434, prior_entropy: 0.863, recall: 0.9434, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4506, scimark_benchmark: 1260.9999, usercpu_time_millis: 371.782, usercpu_time_millis_testing: 1.519, usercpu_time_millis_training: 370.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9408, kappa: 0.854, kb_relative_information_score: 26066.9461, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4676, scimark_benchmark: 1272.8188, usercpu_time_millis: 232.446, usercpu_time_millis_testing: 1.178, usercpu_time_millis_training: 231.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.812, kappa: 0.5165, kb_relative_information_score: 13270.8869, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.85, predictive_accuracy: 0.8333, prior_entropy: 0.863, recall: 0.8333, relative_absolute_error: 0.6611, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.7258, scimark_benchmark: 1274.569, usercpu_time_millis: 263.204, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 262.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9704, kappa: 0.9275, kb_relative_information_score: 31259.793, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9704, predictive_accuracy: 0.9705, prior_entropy: 0.863, recall: 0.9705, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3381, scimark_benchmark: 1273.2528, usercpu_time_millis: 828.059, usercpu_time_millis_testing: 4.263, usercpu_time_millis_training: 823.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9097, kappa: 0.7743, kb_relative_information_score: 19207.158, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9116, predictive_accuracy: 0.9119, prior_entropy: 0.863, recall: 0.9119, relative_absolute_error: 0.4794, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.6034, scimark_benchmark: 1250.9287, usercpu_time_millis: 243.406, usercpu_time_millis_testing: 1.018, usercpu_time_millis_training: 242.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.7724, kappa: 0.4142, kb_relative_information_score: 6461.4272, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8367, predictive_accuracy: 0.807, prior_entropy: 0.863, recall: 0.807, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.8406, scimark_benchmark: 1268.3626, usercpu_time_millis: 559.211, usercpu_time_millis_testing: 2.06, usercpu_time_millis_training: 557.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9366, kappa: 0.8442, kb_relative_information_score: 25665.0279, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9365, predictive_accuracy: 0.9368, prior_entropy: 0.863, recall: 0.9368, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.482, scimark_benchmark: 1271.9452, usercpu_time_millis: 555.531, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 554.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9395, kappa: 0.8503, kb_relative_information_score: 23057.4432, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.497, scimark_benchmark: 1262.656, usercpu_time_millis: 658.833, usercpu_time_millis_testing: 3.747, usercpu_time_millis_training: 655.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9042, kappa: 0.7604, kb_relative_information_score: -9434.972, mean_absolute_error: 0.4632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9063, predictive_accuracy: 0.9067, prior_entropy: 0.863, recall: 0.9067, relative_absolute_error: 1.1351, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.0266, scimark_benchmark: 1256.2009, usercpu_time_millis: 86.899, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 85.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 28105.0224, mean_absolute_error: 0.0805, 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: 0.1973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3999, scimark_benchmark: 1255.5124, usercpu_time_millis: 272.103, usercpu_time_millis_testing: 2.074, usercpu_time_millis_training: 270.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9283, kappa: 0.8229, kb_relative_information_score: 22080.8742, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9282, predictive_accuracy: 0.9289, prior_entropy: 0.863, recall: 0.9289, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5425, scimark_benchmark: 1256.2073, usercpu_time_millis: 880.491, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 879.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9408, kappa: 0.8535, kb_relative_information_score: 22106.8186, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9411, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.506, scimark_benchmark: 1254.8655, usercpu_time_millis: 553.152, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 550.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9451, kappa: 0.8645, kb_relative_information_score: 26167.0973, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.45, scimark_benchmark: 1263.8762, usercpu_time_millis: 492.468, usercpu_time_millis_testing: 2.354, usercpu_time_millis_training: 490.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9328, kappa: 0.8347, kb_relative_information_score: 24551.7681, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9331, prior_entropy: 0.863, recall: 0.9331, relative_absolute_error: 0.3054, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5018, scimark_benchmark: 1251.0156, usercpu_time_millis: 559.376, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 558.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.939, kappa: 0.8488, kb_relative_information_score: 833.479, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.9399, prior_entropy: 0.863, recall: 0.9399, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.8664, scimark_benchmark: 1261.0227, usercpu_time_millis: 598.237, usercpu_time_millis_testing: 3.346, usercpu_time_millis_training: 594.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.935, kappa: 0.84, kb_relative_information_score: 25549.9727, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4883, scimark_benchmark: 1264.2433, usercpu_time_millis: 522.629, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 521.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9384, kappa: 0.8487, kb_relative_information_score: 26048.5096, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4742, scimark_benchmark: 1269.1501, usercpu_time_millis: 340.591, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 339.779,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9392, kappa: 0.8506, kb_relative_information_score: 26627.8178, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9391, predictive_accuracy: 0.9393, prior_entropy: 0.863, recall: 0.9393, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4679, scimark_benchmark: 1281.4636, usercpu_time_millis: 704.013, usercpu_time_millis_testing: 1.251, usercpu_time_millis_training: 702.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.905, kappa: 0.7637, kb_relative_information_score: -10617.0596, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9054, predictive_accuracy: 0.9067, prior_entropy: 0.863, recall: 0.9067, relative_absolute_error: 1.1592, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4734, root_relative_squared_error: 1.0481, scimark_benchmark: 1270.7003, usercpu_time_millis: 59.495, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 58.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9431, kappa: 0.8603, kb_relative_information_score: 27476.8036, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.943, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4488, scimark_benchmark: 1271.2634, usercpu_time_millis: 211.542, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 210.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.855, kappa: 0.6297, kb_relative_information_score: 15805.8075, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8715, predictive_accuracy: 0.8653, prior_entropy: 0.863, recall: 0.8653, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6723, scimark_benchmark: 1257.9866, usercpu_time_millis: 110.739, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 109.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9448, kappa: 0.8638, kb_relative_information_score: 26403.9547, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4528, scimark_benchmark: 1261.2391, usercpu_time_millis: 634.673, usercpu_time_millis_testing: 2.381, usercpu_time_millis_training: 632.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9399, kappa: 0.8525, kb_relative_information_score: 26951.3544, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9398, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.463, scimark_benchmark: 1266.7923, usercpu_time_millis: 319.601, usercpu_time_millis_testing: 0.926, usercpu_time_millis_training: 318.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9407, kappa: 0.8544, kb_relative_information_score: 27171.2037, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4584, scimark_benchmark: 1269.1781, usercpu_time_millis: 386.212, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 385.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9546, kappa: 0.8885, kb_relative_information_score: 26822.7388, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4172, scimark_benchmark: 1259.828, usercpu_time_millis: 908.791, usercpu_time_millis_testing: 2.968, usercpu_time_millis_training: 905.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9476, kappa: 0.8714, kb_relative_information_score: 28110.0878, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4318, scimark_benchmark: 1258.7979, usercpu_time_millis: 874.008, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 873.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9378, kappa: 0.8463, kb_relative_information_score: 22483.3059, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.509, scimark_benchmark: 1256.7922, usercpu_time_millis: 162.574, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 161.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.6321, kappa: 0.08, kb_relative_information_score: -7436.8002, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8045, predictive_accuracy: 0.7308, prior_entropy: 0.863, recall: 0.7308, relative_absolute_error: 1.1018, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.001, scimark_benchmark: 1272.4542, usercpu_time_millis: 516.196, usercpu_time_millis_testing: 2.342, usercpu_time_millis_training: 513.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9426, kappa: 0.859, kb_relative_information_score: 27215.5414, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4517, scimark_benchmark: 1270.8731, usercpu_time_millis: 275.565, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 274.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9359, kappa: 0.8426, kb_relative_information_score: 25500.4294, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9358, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.219, root_relative_squared_error: 0.4849, scimark_benchmark: 1258.3644, usercpu_time_millis: 465.84, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 464.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9392, kappa: 0.8505, kb_relative_information_score: 26236.1531, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9391, predictive_accuracy: 0.9394, prior_entropy: 0.863, recall: 0.9394, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4677, scimark_benchmark: 1268.5103, usercpu_time_millis: 670.569, usercpu_time_millis_testing: 1.031, usercpu_time_millis_training: 669.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8108, kappa: 0.5133, kb_relative_information_score: 13157.3007, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8494, predictive_accuracy: 0.8324, prior_entropy: 0.863, recall: 0.8324, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.728, scimark_benchmark: 1265.1485, usercpu_time_millis: 124.274, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 123.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9344, kappa: 0.837, kb_relative_information_score: 21809.505, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5196, scimark_benchmark: 1253.1586, usercpu_time_millis: 548.98, usercpu_time_millis_testing: 2.837, usercpu_time_millis_training: 546.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9378, kappa: 0.8473, kb_relative_information_score: 26282.8694, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.473, scimark_benchmark: 1254.2572, usercpu_time_millis: 736.306, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 735.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9395, kappa: 0.8513, kb_relative_information_score: 26739.3943, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9394, predictive_accuracy: 0.9396, prior_entropy: 0.863, recall: 0.9396, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4634, scimark_benchmark: 1256.3571, usercpu_time_millis: 903.695, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 902.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9298, kappa: 0.8259, kb_relative_information_score: 18320.8962, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9301, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5825, scimark_benchmark: 1248.7723, usercpu_time_millis: 961.833, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 959.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9252, kappa: 0.8129, kb_relative_information_score: -9804.3406, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9276, predictive_accuracy: 0.9271, prior_entropy: 0.863, recall: 0.9271, relative_absolute_error: 1.142, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4664, root_relative_squared_error: 1.0326, scimark_benchmark: 1261.1041, usercpu_time_millis: 525.126, usercpu_time_millis_testing: 2.112, usercpu_time_millis_training: 523.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9393, kappa: 0.8508, kb_relative_information_score: 26144.6412, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9392, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4698, scimark_benchmark: 1272.58, usercpu_time_millis: 875.266, usercpu_time_millis_testing: 0.772, usercpu_time_millis_training: 874.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9382, kappa: 0.8481, kb_relative_information_score: 26221.6993, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9385, prior_entropy: 0.863, recall: 0.9385, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4727, scimark_benchmark: 1249.4433, usercpu_time_millis: 879.597, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 878.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9353, kappa: 0.8393, kb_relative_information_score: 19813.6283, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9364, prior_entropy: 0.863, recall: 0.9364, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.5464, scimark_benchmark: 1247.3054, usercpu_time_millis: 464.698, usercpu_time_millis_testing: 3.44, usercpu_time_millis_training: 461.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9656, kappa: 0.9154, kb_relative_information_score: 29027.4899, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3628, scimark_benchmark: 1262.444, usercpu_time_millis: 697.307, usercpu_time_millis_testing: 23.366, usercpu_time_millis_training: 673.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9584, kappa: 0.8976, kb_relative_information_score: 27757.1058, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4033, scimark_benchmark: 1277.0643, usercpu_time_millis: 838.708, usercpu_time_millis_testing: 48.312, usercpu_time_millis_training: 790.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9602, kappa: 0.9023, kb_relative_information_score: 28602.9663, mean_absolute_error: 0.0734, 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: 0.1799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3909, scimark_benchmark: 1274.4547, usercpu_time_millis: 565.346, usercpu_time_millis_testing: 8.889, usercpu_time_millis_training: 556.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9664, kappa: 0.9176, kb_relative_information_score: 29358.8176, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3599, scimark_benchmark: 1259.4668, usercpu_time_millis: 686.414, usercpu_time_millis_testing: 11.772, usercpu_time_millis_training: 674.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9607, kappa: 0.9033, kb_relative_information_score: 28684.1751, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3924, scimark_benchmark: 1272.5288, usercpu_time_millis: 430.314, usercpu_time_millis_testing: 5.731, usercpu_time_millis_training: 424.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 29047.3897, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3811, scimark_benchmark: 1265.2988, usercpu_time_millis: 515.463, usercpu_time_millis_testing: 5.623, usercpu_time_millis_training: 509.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29623.0204, mean_absolute_error: 0.0613, 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: 0.1502, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3513, scimark_benchmark: 1277.3926, usercpu_time_millis: 149.865, usercpu_time_millis_testing: 5.833, usercpu_time_millis_training: 144.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.958, kappa: 0.8966, kb_relative_information_score: 27392.7668, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.405, scimark_benchmark: 1268.7292, usercpu_time_millis: 554.76, usercpu_time_millis_testing: 39.054, usercpu_time_millis_training: 515.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9592, kappa: 0.8998, kb_relative_information_score: 28404.6988, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3958, scimark_benchmark: 1259.5704, usercpu_time_millis: 204.998, usercpu_time_millis_testing: 6.877, usercpu_time_millis_training: 198.121,

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