OpenML
Supervised Classification on re1.wc

Supervised Classification on re1.wc

Task 3530 Supervised Classification re1.wc 70 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.7518, kappa: 0.745, kb_relative_information_score: 1032.3827, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7792, predictive_accuracy: 0.7797, prior_entropy: 3.8125, recall: 0.7797, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.6595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.7505, kappa: 0.7412, kb_relative_information_score: 1137.1545, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7741, predictive_accuracy: 0.7773, prior_entropy: 3.8125, recall: 0.7773, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8032, kappa: 0.7798, kb_relative_information_score: 1260.8998, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8025, predictive_accuracy: 0.8051, prior_entropy: 3.8125, recall: 0.8051, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.125, root_relative_squared_error: 0.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8303, kappa: 0.8175, kb_relative_information_score: 1316.2896, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8261, predictive_accuracy: 0.8395, prior_entropy: 3.8125, recall: 0.8395, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.5635, scimark_benchmark: 1350.9691, usercpu_time_millis: 13680, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 13380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.679, kappa: 0.6262, kb_relative_information_score: 1047.6671, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7116, predictive_accuracy: 0.6626, prior_entropy: 3.8125, recall: 0.6626, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.8632, scimark_benchmark: 1358.4523, usercpu_time_millis: 78440, usercpu_time_millis_testing: 73330, usercpu_time_millis_training: 5110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.6832, kappa: 0.6332, kb_relative_information_score: 1056.5469, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7128, predictive_accuracy: 0.6693, prior_entropy: 3.8125, recall: 0.6693, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.8537, scimark_benchmark: 889.3151, usercpu_time_millis: 56470, usercpu_time_millis_testing: 54210, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.2135, kappa: 0.1866, kb_relative_information_score: 149.7899, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1519, predictive_accuracy: 0.3591, prior_entropy: 3.8125, recall: 0.3591, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.9628, scimark_benchmark: 1358.4523, usercpu_time_millis: 841720, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 841280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4897, f_measure: 0.0819, kb_relative_information_score: 1.0066, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.0501, predictive_accuracy: 0.2239, prior_entropy: 3.8125, recall: 0.2239, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1883, root_relative_squared_error: 1, scimark_benchmark: 1329.0992, usercpu_time_millis: 1350, usercpu_time_millis_testing: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8685, kappa: 0.8565, kb_relative_information_score: 1409.7758, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8685, predictive_accuracy: 0.8739, prior_entropy: 3.8125, recall: 0.8739, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.4836, scimark_benchmark: 1376.9576, usercpu_time_millis: 3662690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3662680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8142, kappa: 0.8022, kb_relative_information_score: 1268.6324, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8105, predictive_accuracy: 0.8262, prior_entropy: 3.8125, recall: 0.8262, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.5868, scimark_benchmark: 1307.2114, usercpu_time_millis: 159100, usercpu_time_millis_training: 159100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 267.844, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 1337.8431, usercpu_time_millis: 2690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.5706, kappa: 0.5801, kb_relative_information_score: 913.3566, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.5266, predictive_accuracy: 0.6482, prior_entropy: 3.8125, recall: 0.6482, relative_absolute_error: 0.5013, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.7072, scimark_benchmark: 915.6729, usercpu_time_millis: 665340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 665330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8386, kappa: 0.8297, kb_relative_information_score: 1379.551, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8412, predictive_accuracy: 0.8515, prior_entropy: 3.8125, recall: 0.8515, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.5029, scimark_benchmark: 1334.8495, usercpu_time_millis: 1155740, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1155670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8614, kappa: 0.8508, kb_relative_information_score: 1382.0186, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8608, predictive_accuracy: 0.869, prior_entropy: 3.8125, recall: 0.869, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4805, scimark_benchmark: 1339.3974, usercpu_time_millis: 958970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 958960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.7854, kappa: 0.7867, kb_relative_information_score: 1129.6411, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7996, predictive_accuracy: 0.8159, prior_entropy: 3.8125, recall: 0.8159, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.6144, scimark_benchmark: 1373.2982, usercpu_time_millis: 417820, usercpu_time_millis_testing: 7190, usercpu_time_millis_training: 410630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.808, kappa: 0.7993, kb_relative_information_score: 1275.6324, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8156, predictive_accuracy: 0.8244, prior_entropy: 3.8125, recall: 0.8244, relative_absolute_error: 0.3279, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5501, scimark_benchmark: 1334.3805, usercpu_time_millis: 1437810, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1437670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8553, kappa: 0.8422, kb_relative_information_score: 1383.1095, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8549, predictive_accuracy: 0.8612, prior_entropy: 3.8125, recall: 0.8612, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.5083, scimark_benchmark: 934.1747, usercpu_time_millis: 6274100, usercpu_time_millis_testing: 97170, usercpu_time_millis_training: 6176930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.5681, kappa: 0.5386, kb_relative_information_score: 91.3181, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7306, predictive_accuracy: 0.6192, prior_entropy: 3.8125, recall: 0.6192, relative_absolute_error: 1.0815, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1959, root_relative_squared_error: 1.0405, scimark_benchmark: 1321.6263, usercpu_time_millis: 6050, usercpu_time_millis_testing: 5820, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.7858, kappa: 0.7866, kb_relative_information_score: 1135.3245, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8048, predictive_accuracy: 0.8159, prior_entropy: 3.8125, recall: 0.8159, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.6096, scimark_benchmark: 880.8372, usercpu_time_millis: 1082460, usercpu_time_millis_testing: 13410, usercpu_time_millis_training: 1069050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8628, kappa: 0.8516, kb_relative_information_score: 1398.9995, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8618, predictive_accuracy: 0.8696, prior_entropy: 3.8125, recall: 0.8696, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.4785, scimark_benchmark: 1034.1273, usercpu_time_millis: 1892850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1892840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.7994, kappa: 0.7918, kb_relative_information_score: 1264.762, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8009, predictive_accuracy: 0.8177, prior_entropy: 3.8125, recall: 0.8177, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.5586, scimark_benchmark: 1384.4418, usercpu_time_millis: 202270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 202250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.7769, kappa: 0.7692, kb_relative_information_score: 1239.5174, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7725, predictive_accuracy: 0.7972, prior_entropy: 3.8125, recall: 0.7972, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.5992, scimark_benchmark: 1310.3951, usercpu_time_millis: 30680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 267.844, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 915.9693, usercpu_time_millis: 2990, usercpu_time_millis_training: 2990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 267.844, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 942.6843, usercpu_time_millis: 2960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 267.844, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 909.1698, usercpu_time_millis: 3340, usercpu_time_millis_training: 3340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 267.844, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 1404.1865, usercpu_time_millis: 2740, usercpu_time_millis_training: 2740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 267.844, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 1304.6687, usercpu_time_millis: 2360, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.3408, kappa: 0.2596, kb_relative_information_score: 616.0425, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.5557, predictive_accuracy: 0.4019, prior_entropy: 3.8125, recall: 0.4019, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.9686, scimark_benchmark: 940.3347, usercpu_time_millis: 7130, usercpu_time_millis_testing: 7130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.3908, kappa: 0.3057, kb_relative_information_score: 669.2783, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.5712, predictive_accuracy: 0.4206, prior_entropy: 3.8125, recall: 0.4206, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.9818, scimark_benchmark: 1333.5799, usercpu_time_millis: 5550, usercpu_time_millis_testing: 5540, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.288, kappa: 0.2304, kb_relative_information_score: 103.4311, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.4722, predictive_accuracy: 0.3935, prior_entropy: 3.8125, recall: 0.3935, relative_absolute_error: 1.0535, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0211, scimark_benchmark: 1315.395, usercpu_time_millis: 63400, usercpu_time_millis_testing: 56240, usercpu_time_millis_training: 7160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7287, kappa: 0.6955, kb_relative_information_score: 237.874, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7483, predictive_accuracy: 0.7369, prior_entropy: 3.8125, recall: 0.7369, relative_absolute_error: 1.0411, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.19, root_relative_squared_error: 1.0089, scimark_benchmark: 933.3136, usercpu_time_millis: 12270, usercpu_time_millis_testing: 6420, usercpu_time_millis_training: 5850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8528, kappa: 0.8387, kb_relative_information_score: 1381.3264, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8528, predictive_accuracy: 0.8582, prior_entropy: 3.8125, recall: 0.8582, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.5129, scimark_benchmark: 938.9967, usercpu_time_millis: 1163110, usercpu_time_millis_testing: 7620, usercpu_time_millis_training: 1155490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8612, kappa: 0.8449, kb_relative_information_score: 1367.0952, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8619, predictive_accuracy: 0.863, prior_entropy: 3.8125, recall: 0.863, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.556, scimark_benchmark: 1331.6907, usercpu_time_millis: 510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.6805, kappa: 0.665, kb_relative_information_score: 889.428, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7655, predictive_accuracy: 0.7176, prior_entropy: 3.8125, recall: 0.7176, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.7492, scimark_benchmark: 1327.8711, usercpu_time_millis: 31280, usercpu_time_millis_testing: 1870, usercpu_time_millis_training: 29410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.419, kappa: 0.3463, kb_relative_information_score: 574.8855, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.4211, predictive_accuracy: 0.4194, prior_entropy: 3.8125, recall: 0.4194, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.2154, root_relative_squared_error: 1.1441, scimark_benchmark: 1333.5799, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.7767, kappa: 0.7636, kb_relative_information_score: 1201.4614, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7771, predictive_accuracy: 0.7924, prior_entropy: 3.8125, recall: 0.7924, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.6046, scimark_benchmark: 1316.0472, usercpu_time_millis: 20600, usercpu_time_millis_training: 20600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8105, kappa: 0.7966, kb_relative_information_score: 1259.8622, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8126, predictive_accuracy: 0.8208, prior_entropy: 3.8125, recall: 0.8208, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.5664, scimark_benchmark: 1363.454, usercpu_time_millis: 157850, usercpu_time_millis_training: 157850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.6374, kappa: 0.6261, kb_relative_information_score: 969.6027, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7268, predictive_accuracy: 0.6826, prior_entropy: 3.8125, recall: 0.6826, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.8463, scimark_benchmark: 1280.6952, usercpu_time_millis: 306820, usercpu_time_millis_testing: 151220, usercpu_time_millis_training: 155600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5405, f_measure: 0.1431, kappa: 0.0727, kb_relative_information_score: 98.766, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8163, predictive_accuracy: 0.099, prior_entropy: 3.8125, recall: 0.099, relative_absolute_error: 1.0153, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.2685, root_relative_squared_error: 1.4259, scimark_benchmark: 1339.4189, usercpu_time_millis: 102910, usercpu_time_millis_testing: 20010, usercpu_time_millis_training: 82900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.7815, kappa: 0.7577, kb_relative_information_score: 1233.7204, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7818, predictive_accuracy: 0.7858, prior_entropy: 3.8125, recall: 0.7858, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.6704, scimark_benchmark: 1466.6185, usercpu_time_millis: 327660, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 327600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 368.3732, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.2198, root_relative_squared_error: 1.1675, scimark_benchmark: 1465.2979, usercpu_time_millis: 1320, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4897, f_measure: 0.0819, kb_relative_information_score: 1.0066, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.0501, predictive_accuracy: 0.2239, prior_entropy: 3.8125, recall: 0.2239, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1883, root_relative_squared_error: 1, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.7929, kappa: 0.7764, kb_relative_information_score: 1242.3359, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7915, predictive_accuracy: 0.8039, prior_entropy: 3.8125, recall: 0.8039, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.6338, scimark_benchmark: 1354.3488, usercpu_time_millis: 84810, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 84740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7095, kappa: 0.6688, kb_relative_information_score: 1120.8838, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7243, predictive_accuracy: 0.7031, prior_entropy: 3.8125, recall: 0.7031, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.7775, scimark_benchmark: 923.7642, usercpu_time_millis: 1440720, usercpu_time_millis_testing: 526210, usercpu_time_millis_training: 914510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.723, kappa: 0.6835, kb_relative_information_score: 1126.8128, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7373, predictive_accuracy: 0.7164, prior_entropy: 3.8125, recall: 0.7164, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.7739, scimark_benchmark: 770.3451, usercpu_time_millis: 968400, usercpu_time_millis_testing: 298220, usercpu_time_millis_training: 670180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.6977, kappa: 0.6529, kb_relative_information_score: 1040.7045, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7208, predictive_accuracy: 0.6874, prior_entropy: 3.8125, recall: 0.6874, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.7466, scimark_benchmark: 911.3823, usercpu_time_millis: 887430, usercpu_time_millis_testing: 272480, usercpu_time_millis_training: 614950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.6977, kappa: 0.6529, kb_relative_information_score: 1040.7045, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7208, predictive_accuracy: 0.6874, prior_entropy: 3.8125, recall: 0.6874, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.7466, scimark_benchmark: 923.7642, usercpu_time_millis: 855940, usercpu_time_millis_testing: 265050, usercpu_time_millis_training: 590890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.6977, kappa: 0.6529, kb_relative_information_score: 1040.7045, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7208, predictive_accuracy: 0.6874, prior_entropy: 3.8125, recall: 0.6874, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.7466, scimark_benchmark: 939.7623, usercpu_time_millis: 935400, usercpu_time_millis_testing: 288640, usercpu_time_millis_training: 646760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 267.844, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 936.7115, usercpu_time_millis: 3450, usercpu_time_millis_training: 3450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.843, kappa: 0.8257, kb_relative_information_score: 1356.9624, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8477, predictive_accuracy: 0.8461, prior_entropy: 3.8125, recall: 0.8461, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.5636, scimark_benchmark: 940.2922, usercpu_time_millis: 18361160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 18361150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 267.844, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 936.7115, usercpu_time_millis: 3160, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 267.844, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 938.2848, usercpu_time_millis: 2990, usercpu_time_millis_training: 2990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 267.844, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 938.4285, usercpu_time_millis: 2620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 267.844, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 938.4285, usercpu_time_millis: 2600, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8638, kappa: 0.8518, kb_relative_information_score: 1400.6882, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8632, predictive_accuracy: 0.8696, prior_entropy: 3.8125, recall: 0.8696, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.5054, scimark_benchmark: 931.2336, usercpu_time_millis: 8321110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8321100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8685, kappa: 0.8565, kb_relative_information_score: 1409.7758, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8685, predictive_accuracy: 0.8739, prior_entropy: 3.8125, recall: 0.8739, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.4836, scimark_benchmark: 917.712, usercpu_time_millis: 4848340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4848330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8628, kappa: 0.8516, kb_relative_information_score: 1398.9995, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8618, predictive_accuracy: 0.8696, prior_entropy: 3.8125, recall: 0.8696, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.4785, scimark_benchmark: 943.2817, usercpu_time_millis: 2289660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2289650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8614, kappa: 0.8508, kb_relative_information_score: 1382.0186, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8608, predictive_accuracy: 0.869, prior_entropy: 3.8125, recall: 0.869, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4805, scimark_benchmark: 932.3943, usercpu_time_millis: 1048710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1048700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4897, f_measure: 0.0819, kb_relative_information_score: 1.0066, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.0501, predictive_accuracy: 0.2239, prior_entropy: 3.8125, recall: 0.2239, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1883, root_relative_squared_error: 1, scimark_benchmark: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.859, kappa: 0.8479, kb_relative_information_score: 1379.6712, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.859, predictive_accuracy: 0.8666, prior_entropy: 3.8125, recall: 0.8666, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.482, scimark_benchmark: 883.7187, usercpu_time_millis: 993960, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 993900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.6567, kappa: 0.6299, kb_relative_information_score: 908.1361, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.6931, predictive_accuracy: 0.6838, prior_entropy: 3.8125, recall: 0.6838, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.7624, scimark_benchmark: 902.4773, usercpu_time_millis: 5190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.0819, kb_relative_information_score: 17.2914, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.0501, predictive_accuracy: 0.2239, prior_entropy: 3.8125, recall: 0.2239, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1883, root_relative_squared_error: 1.0002, scimark_benchmark: 910.8389, usercpu_time_millis: 31830, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 31760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0819, kb_relative_information_score: 169.0639, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.0501, predictive_accuracy: 0.2239, prior_entropy: 3.8125, recall: 0.2239, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.2492, root_relative_squared_error: 1.3233, scimark_benchmark: 947.9494, usercpu_time_millis: 490, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8191, kappa: 0.8096, kb_relative_information_score: 1276.8206, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8378, predictive_accuracy: 0.834, prior_entropy: 3.8125, recall: 0.834, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.5357, scimark_benchmark: 901.0726, usercpu_time_millis: 1128710, usercpu_time_millis_testing: 900, usercpu_time_millis_training: 1127810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.8026, kappa: 0.7902, kb_relative_information_score: 1309.8399, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8053, predictive_accuracy: 0.8165, prior_entropy: 3.8125, recall: 0.8165, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.5614, scimark_benchmark: 929.0255, usercpu_time_millis: 4342480, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 4341160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 267.8399, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.9412, scimark_benchmark: 917.7039, usercpu_time_millis: 2610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8502, kappa: 0.8388, kb_relative_information_score: 1376.8538, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.8515, predictive_accuracy: 0.8582, prior_entropy: 3.8125, recall: 0.8582, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.5386, scimark_benchmark: 943.6956, usercpu_time_millis: 3195480, usercpu_time_millis_testing: 2780, usercpu_time_millis_training: 3192700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8519, kappa: 0.8409, kb_relative_information_score: 1377.1259, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.853, predictive_accuracy: 0.86, prior_entropy: 3.8125, recall: 0.86, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.5381, scimark_benchmark: 945.9253, usercpu_time_millis: 3232170, usercpu_time_millis_testing: 2960, usercpu_time_millis_training: 3229210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8519, kappa: 0.8409, kb_relative_information_score: 1377.1259, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.853, predictive_accuracy: 0.86, prior_entropy: 3.8125, recall: 0.86, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.5381, scimark_benchmark: 940.3346, usercpu_time_millis: 3059310, usercpu_time_millis_testing: 2880, usercpu_time_millis_training: 3056430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, build_cpu_time: 1997.7653, build_memory: 779744196.9439, f_measure: 0.7886, kappa: 0.7813, kb_relative_information_score: 1316.5734, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.071, number_of_instances: 1657, precision: 0.7897, predictive_accuracy: 0.8093, prior_entropy: 3.8125, recall: 0.8093, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.5581, scimark_benchmark: 897.0618,

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

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From your own software

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

OpenML APIs