OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9623, kappa: 0.907, kb_relative_information_score: 27578.5198, mean_absolute_error: 0.0911, 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: 0.2231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3902, scimark_benchmark: 1274.9655, usercpu_time_millis: 868.462, usercpu_time_millis_testing: 41.355, usercpu_time_millis_training: 827.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.928, kappa: 0.8191, kb_relative_information_score: 18983.8817, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9303, prior_entropy: 0.863, recall: 0.9303, relative_absolute_error: 0.5095, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5858, scimark_benchmark: 1279.6524, usercpu_time_millis: 1284.331, usercpu_time_millis_testing: 93.655, usercpu_time_millis_training: 1190.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9067, kappa: 0.764, kb_relative_information_score: 16979.0993, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9152, predictive_accuracy: 0.9109, prior_entropy: 0.863, recall: 0.9109, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.6337, scimark_benchmark: 1274.1933, usercpu_time_millis: 898.323, usercpu_time_millis_testing: 71.651, usercpu_time_millis_training: 826.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9272, kappa: 0.8171, kb_relative_information_score: 18944.1129, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9318, predictive_accuracy: 0.9295, prior_entropy: 0.863, recall: 0.9295, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5871, scimark_benchmark: 1277.6322, usercpu_time_millis: 1148.531, usercpu_time_millis_testing: 83.565, usercpu_time_millis_training: 1064.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9453, kappa: 0.8645, kb_relative_information_score: 24999.3665, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4655, scimark_benchmark: 1276.4079, usercpu_time_millis: 1142.949, usercpu_time_millis_testing: 38.293, usercpu_time_millis_training: 1104.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9674, kappa: 0.9197, kb_relative_information_score: 28378.4298, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.367, scimark_benchmark: 1267.1149, usercpu_time_millis: 598.322, usercpu_time_millis_testing: 24.41, usercpu_time_millis_training: 573.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9689, kappa: 0.9234, kb_relative_information_score: 28746.875, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3558, scimark_benchmark: 1275.7458, usercpu_time_millis: 564.739, usercpu_time_millis_testing: 23.889, usercpu_time_millis_training: 540.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9556, kappa: 0.8906, kb_relative_information_score: 27185.7927, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4174, scimark_benchmark: 1262.0019, usercpu_time_millis: 3164.316, usercpu_time_millis_testing: 105.95, usercpu_time_millis_training: 3058.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9601, kappa: 0.9016, kb_relative_information_score: 27390.7886, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4012, scimark_benchmark: 1258.346, usercpu_time_millis: 789.107, usercpu_time_millis_testing: 32.174, usercpu_time_millis_training: 756.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9301, kappa: 0.826, kb_relative_information_score: 21910.3003, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9312, predictive_accuracy: 0.9314, prior_entropy: 0.863, recall: 0.9314, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.534, scimark_benchmark: 1280.0621, usercpu_time_millis: 206.943, usercpu_time_millis_testing: 11.16, usercpu_time_millis_training: 195.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9451, kappa: 0.864, kb_relative_information_score: 25502.9216, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9454, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4591, scimark_benchmark: 1265.6335, usercpu_time_millis: 2297.113, usercpu_time_millis_testing: 70.837, usercpu_time_millis_training: 2226.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9536, kappa: 0.8852, kb_relative_information_score: 25214.4625, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4467, scimark_benchmark: 1277.7028, usercpu_time_millis: 66.894, usercpu_time_millis_testing: 4.982, usercpu_time_millis_training: 61.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.965, kappa: 0.9139, kb_relative_information_score: 28790.6686, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3695, scimark_benchmark: 1265.4468, usercpu_time_millis: 1630.463, usercpu_time_millis_testing: 68.518, usercpu_time_millis_training: 1561.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9542, kappa: 0.8869, kb_relative_information_score: 26214.9657, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4317, scimark_benchmark: 1264.9255, usercpu_time_millis: 2375.754, usercpu_time_millis_testing: 108.26, usercpu_time_millis_training: 2267.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9332, kappa: 0.8338, kb_relative_information_score: 22045.3804, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9344, prior_entropy: 0.863, recall: 0.9344, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5293, scimark_benchmark: 1279.7137, usercpu_time_millis: 705.215, usercpu_time_millis_testing: 42.076, usercpu_time_millis_training: 663.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9564, kappa: 0.8926, kb_relative_information_score: 27079.3629, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.4134, scimark_benchmark: 1257.8298, usercpu_time_millis: 1845.628, usercpu_time_millis_testing: 99.015, usercpu_time_millis_training: 1746.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9318, kappa: 0.8289, kb_relative_information_score: 19316.1826, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9339, prior_entropy: 0.863, recall: 0.9339, relative_absolute_error: 0.5004, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5772, scimark_benchmark: 1277.5205, usercpu_time_millis: 1074.24, usercpu_time_millis_testing: 79.396, usercpu_time_millis_training: 994.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9597, kappa: 0.9008, kb_relative_information_score: 27749.0304, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3977, scimark_benchmark: 1275.425, usercpu_time_millis: 499.834, usercpu_time_millis_testing: 33.078, usercpu_time_millis_training: 466.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.962, kappa: 0.9064, kb_relative_information_score: 27479.7076, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.393, scimark_benchmark: 1267.9487, usercpu_time_millis: 1656.342, usercpu_time_millis_testing: 89.715, usercpu_time_millis_training: 1566.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.961, kappa: 0.904, kb_relative_information_score: 28065.652, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3886, scimark_benchmark: 1272.1529, usercpu_time_millis: 970.978, usercpu_time_millis_testing: 50.41, usercpu_time_millis_training: 920.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9497, kappa: 0.8756, kb_relative_information_score: 25921.1419, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4463, scimark_benchmark: 1280.0227, usercpu_time_millis: 453.914, usercpu_time_millis_testing: 21.1, usercpu_time_millis_training: 432.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.959, kappa: 0.8987, kb_relative_information_score: 26960.1191, mean_absolute_error: 0.0991, 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: 0.2427, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4079, scimark_benchmark: 1278.0153, usercpu_time_millis: 409.857, usercpu_time_millis_testing: 25.158, usercpu_time_millis_training: 384.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9519, kappa: 0.8814, kb_relative_information_score: 26527.3395, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9523, prior_entropy: 0.863, recall: 0.9523, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4333, scimark_benchmark: 1265.6997, usercpu_time_millis: 755.992, usercpu_time_millis_testing: 26.489, usercpu_time_millis_training: 729.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9448, kappa: 0.8632, kb_relative_information_score: 24447.102, mean_absolute_error: 0.1305, 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: 0.3199, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4772, scimark_benchmark: 1278.2492, usercpu_time_millis: 100.227, usercpu_time_millis_testing: 6.113, usercpu_time_millis_training: 94.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9594, kappa: 0.9, kb_relative_information_score: 27600.7929, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.399, scimark_benchmark: 1260.0419, usercpu_time_millis: 1233.045, usercpu_time_millis_testing: 65.342, usercpu_time_millis_training: 1167.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9672, kappa: 0.9193, kb_relative_information_score: 28696.8689, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3635, scimark_benchmark: 1265.1835, usercpu_time_millis: 1225.818, usercpu_time_millis_testing: 46.207, usercpu_time_millis_training: 1179.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9601, kappa: 0.9016, kb_relative_information_score: 27564.4292, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3995, scimark_benchmark: 1267.4377, usercpu_time_millis: 2409.445, usercpu_time_millis_testing: 77.2, usercpu_time_millis_training: 2332.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.959, kappa: 0.899, kb_relative_information_score: 27273.9003, mean_absolute_error: 0.094, 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: 0.2303, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4039, scimark_benchmark: 1264.5173, usercpu_time_millis: 1013.085, usercpu_time_millis_testing: 74.16, usercpu_time_millis_training: 938.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.948, kappa: 0.8714, kb_relative_information_score: 26034.3615, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4483, scimark_benchmark: 1258.5129, usercpu_time_millis: 1416.831, usercpu_time_millis_testing: 51.302, usercpu_time_millis_training: 1365.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9501, kappa: 0.8766, kb_relative_information_score: 25471.8823, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4513, scimark_benchmark: 1255.8598, usercpu_time_millis: 494.841, usercpu_time_millis_testing: 31.54, usercpu_time_millis_training: 463.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9408, kappa: 0.8532, kb_relative_information_score: 24786.1155, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4766, scimark_benchmark: 1275.6212, usercpu_time_millis: 2130.751, usercpu_time_millis_testing: 85.04, usercpu_time_millis_training: 2045.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9682, kappa: 0.9218, kb_relative_information_score: 29394.8278, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3498, scimark_benchmark: 1262.5643, usercpu_time_millis: 954.317, usercpu_time_millis_testing: 31.06, usercpu_time_millis_training: 923.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9393, kappa: 0.849, kb_relative_information_score: 21276.448, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9404, prior_entropy: 0.863, recall: 0.9404, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.5404, scimark_benchmark: 1255.0759, usercpu_time_millis: 387.269, usercpu_time_millis_testing: 30.581, usercpu_time_millis_training: 356.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9634, kappa: 0.9101, kb_relative_information_score: 28596.632, mean_absolute_error: 0.0753, 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: 0.1844, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3765, scimark_benchmark: 1248.5061, usercpu_time_millis: 358.505, usercpu_time_millis_testing: 18.365, usercpu_time_millis_training: 340.14,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9593, kappa: 0.8998, kb_relative_information_score: 27636.5683, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.2173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3978, scimark_benchmark: 1272.1638, usercpu_time_millis: 1438.656, usercpu_time_millis_testing: 95.755, usercpu_time_millis_training: 1342.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9431, kappa: 0.8592, kb_relative_information_score: 25444.9194, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9437, prior_entropy: 0.863, recall: 0.9437, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4644, scimark_benchmark: 1271.1879, usercpu_time_millis: 173.021, usercpu_time_millis_testing: 8.112, usercpu_time_millis_training: 164.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9432, kappa: 0.859, kb_relative_information_score: 23185.2757, mean_absolute_error: 0.1487, 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: 0.3643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.5009, scimark_benchmark: 1270.5674, usercpu_time_millis: 562.223, usercpu_time_millis_testing: 27.821, usercpu_time_millis_training: 534.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9547, kappa: 0.888, kb_relative_information_score: 26278.7208, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4304, scimark_benchmark: 1274.6415, usercpu_time_millis: 1236.945, usercpu_time_millis_testing: 55.102, usercpu_time_millis_training: 1181.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.963, kappa: 0.909, kb_relative_information_score: 28463.6841, mean_absolute_error: 0.077, 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: 0.1887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3801, scimark_benchmark: 1269.0019, usercpu_time_millis: 2101.083, usercpu_time_millis_testing: 92.239, usercpu_time_millis_training: 2008.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9598, kappa: 0.9009, kb_relative_information_score: 27635.7376, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.398, scimark_benchmark: 1275.7004, usercpu_time_millis: 966.987, usercpu_time_millis_testing: 48.141, usercpu_time_millis_training: 918.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9661, kappa: 0.9167, kb_relative_information_score: 28608.8343, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3662, scimark_benchmark: 1275.4282, usercpu_time_millis: 569.227, usercpu_time_millis_testing: 20.544, usercpu_time_millis_training: 548.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9574, kappa: 0.8948, kb_relative_information_score: 26489.8204, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4199, scimark_benchmark: 1275.8723, usercpu_time_millis: 552.583, usercpu_time_millis_testing: 44.017, usercpu_time_millis_training: 508.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9308, kappa: 0.8265, kb_relative_information_score: 19302.1971, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.933, prior_entropy: 0.863, recall: 0.933, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5779, scimark_benchmark: 1275.0643, usercpu_time_millis: 694.383, usercpu_time_millis_testing: 43.064, usercpu_time_millis_training: 651.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9342, kappa: 0.8364, kb_relative_information_score: 22775.3884, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5164, scimark_benchmark: 1275.6158, usercpu_time_millis: 1116.777, usercpu_time_millis_testing: 67.965, usercpu_time_millis_training: 1048.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9418, kappa: 0.8558, kb_relative_information_score: 24725.7723, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4752, scimark_benchmark: 1280.3749, usercpu_time_millis: 1090.907, usercpu_time_millis_testing: 53.175, usercpu_time_millis_training: 1037.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9461, kappa: 0.8669, kb_relative_information_score: 25847.406, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4535, scimark_benchmark: 1277.7891, usercpu_time_millis: 1771.152, usercpu_time_millis_testing: 75.714, usercpu_time_millis_training: 1695.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9521, kappa: 0.8818, kb_relative_information_score: 26517.9202, mean_absolute_error: 0.1022, 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: 0.2505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4338, scimark_benchmark: 1267.6238, usercpu_time_millis: 1568.599, usercpu_time_millis_testing: 94.378, usercpu_time_millis_training: 1474.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9613, kappa: 0.9045, kb_relative_information_score: 27203.1601, mean_absolute_error: 0.096, 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: 0.2353, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4007, scimark_benchmark: 1280.787, usercpu_time_millis: 2010.372, usercpu_time_millis_testing: 85.517, usercpu_time_millis_training: 1924.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9579, kappa: 0.8963, kb_relative_information_score: 27530.7674, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.4076, scimark_benchmark: 1269.4463, usercpu_time_millis: 3249.121, usercpu_time_millis_testing: 91.875, usercpu_time_millis_training: 3157.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9134, kappa: 0.7816, kb_relative_information_score: 17736.1469, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.9169, prior_entropy: 0.863, recall: 0.9169, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.6165, scimark_benchmark: 1276.4455, usercpu_time_millis: 222.128, usercpu_time_millis_testing: 19.099, usercpu_time_millis_training: 203.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9646, kappa: 0.913, kb_relative_information_score: 28757.9712, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.371, scimark_benchmark: 1276.8891, usercpu_time_millis: 1871.507, usercpu_time_millis_testing: 75.421, usercpu_time_millis_training: 1796.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9533, kappa: 0.8848, kb_relative_information_score: 26419.3402, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4313, scimark_benchmark: 1271.7021, usercpu_time_millis: 115.157, usercpu_time_millis_testing: 5.13, usercpu_time_millis_training: 110.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9548, kappa: 0.8886, kb_relative_information_score: 27206.4726, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.418, scimark_benchmark: 1267.143, usercpu_time_millis: 92.197, usercpu_time_millis_testing: 6.073, usercpu_time_millis_training: 86.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9042, kappa: 0.7576, kb_relative_information_score: 16716.0874, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.913, predictive_accuracy: 0.9086, prior_entropy: 0.863, recall: 0.9086, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.6396, scimark_benchmark: 1255.7885, usercpu_time_millis: 577.029, usercpu_time_millis_testing: 49.152, usercpu_time_millis_training: 527.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9573, kappa: 0.895, kb_relative_information_score: 27418.8756, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4094, scimark_benchmark: 1270.3711, usercpu_time_millis: 317.145, usercpu_time_millis_testing: 11.363, usercpu_time_millis_training: 305.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9321, kappa: 0.8297, kb_relative_information_score: 19406.4371, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9341, prior_entropy: 0.863, recall: 0.9341, relative_absolute_error: 0.4969, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5754, scimark_benchmark: 1275.9748, usercpu_time_millis: 1167.35, usercpu_time_millis_testing: 84.305, usercpu_time_millis_training: 1083.045,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9688, kappa: 0.9235, kb_relative_information_score: 29623.5734, mean_absolute_error: 0.0616, 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: 0.151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.347, scimark_benchmark: 1270.5997, usercpu_time_millis: 180.62, usercpu_time_millis_testing: 6.262, usercpu_time_millis_training: 174.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9382, kappa: 0.8466, kb_relative_information_score: 24083.6799, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9388, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4933, scimark_benchmark: 1277.1599, usercpu_time_millis: 122.884, usercpu_time_millis_testing: 5.173, usercpu_time_millis_training: 117.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9653, kappa: 0.9147, kb_relative_information_score: 28620.0347, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3704, scimark_benchmark: 1272.3769, usercpu_time_millis: 254.049, usercpu_time_millis_testing: 9.381, usercpu_time_millis_training: 244.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9308, kappa: 0.8263, kb_relative_information_score: 19189.6586, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.5803, scimark_benchmark: 1275.6773, usercpu_time_millis: 838.881, usercpu_time_millis_testing: 58.995, usercpu_time_millis_training: 779.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9596, kappa: 0.9006, kb_relative_information_score: 27880.9855, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3959, scimark_benchmark: 1276.5006, usercpu_time_millis: 198.586, usercpu_time_millis_testing: 13.38, usercpu_time_millis_training: 185.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9609, kappa: 0.9035, kb_relative_information_score: 27366.5765, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3974, scimark_benchmark: 1277.9226, usercpu_time_millis: 132.586, usercpu_time_millis_testing: 8.007, usercpu_time_millis_training: 124.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9308, kappa: 0.8275, kb_relative_information_score: 19567.8139, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9326, predictive_accuracy: 0.9323, prior_entropy: 0.863, recall: 0.9323, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5785, scimark_benchmark: 1277.0451, usercpu_time_millis: 101.965, usercpu_time_millis_testing: 6.582, usercpu_time_millis_training: 95.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9573, kappa: 0.895, kb_relative_information_score: 27345.4498, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.411, scimark_benchmark: 1274.5024, usercpu_time_millis: 2521.312, usercpu_time_millis_testing: 82.975, usercpu_time_millis_training: 2438.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9625, kappa: 0.9078, kb_relative_information_score: 28092.1062, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3846, scimark_benchmark: 1282.9023, usercpu_time_millis: 1765.805, usercpu_time_millis_testing: 65.431, usercpu_time_millis_training: 1700.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9593, kappa: 0.8997, kb_relative_information_score: 27563.3874, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.4, scimark_benchmark: 1273.7987, usercpu_time_millis: 1466.122, usercpu_time_millis_testing: 86.51, usercpu_time_millis_training: 1379.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9674, kappa: 0.9199, kb_relative_information_score: 28614.2186, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3625, scimark_benchmark: 1274.1172, usercpu_time_millis: 190.899, usercpu_time_millis_testing: 11.703, usercpu_time_millis_training: 179.196,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs