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: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.7447, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1251.0675, usercpu_time_millis: 30.767, usercpu_time_millis_testing: 2.425, usercpu_time_millis_training: 28.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 29100.4063, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3722, scimark_benchmark: 1256.4465, usercpu_time_millis: 3703.74, usercpu_time_millis_testing: 20.866, usercpu_time_millis_training: 3682.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.6123, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1278.832, usercpu_time_millis: 20.595, usercpu_time_millis_testing: 1.097, usercpu_time_millis_training: 19.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.8004, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1250.5907, usercpu_time_millis: 50.841, usercpu_time_millis_testing: 6.222, usercpu_time_millis_training: 44.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9269, kappa: 0.8164, kb_relative_information_score: 18901.7882, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9315, predictive_accuracy: 0.9293, prior_entropy: 0.863, recall: 0.9293, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5882, scimark_benchmark: 1244.3736, usercpu_time_millis: 350.513, usercpu_time_millis_testing: 22.58, usercpu_time_millis_training: 327.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 29151.9289, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3665, scimark_benchmark: 1270.7959, usercpu_time_millis: 188.255, usercpu_time_millis_testing: 2.916, usercpu_time_millis_training: 185.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8582, kappa: 0.6515, kb_relative_information_score: 15460.6703, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8578, predictive_accuracy: 0.8586, prior_entropy: 0.863, recall: 0.8586, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7362, scimark_benchmark: 1251.4089, usercpu_time_millis: 39.838, usercpu_time_millis_testing: 1.268, usercpu_time_millis_training: 38.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 2.2797, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1268.4611, usercpu_time_millis: 35.4, usercpu_time_millis_testing: 1.498, usercpu_time_millis_training: 33.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.8579, kappa: 0.6528, kb_relative_information_score: 15598.8269, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8584, predictive_accuracy: 0.8575, prior_entropy: 0.863, recall: 0.8575, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7387, scimark_benchmark: 1194.3557, usercpu_time_millis: 179.018, usercpu_time_millis_testing: 4.399, usercpu_time_millis_training: 174.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9182, kappa: 0.7945, kb_relative_information_score: 24471.0099, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9229, predictive_accuracy: 0.921, prior_entropy: 0.863, recall: 0.921, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5146, scimark_benchmark: 1276.3435, usercpu_time_millis: 972.388, usercpu_time_millis_testing: 6.064, usercpu_time_millis_training: 966.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9705, kappa: 0.9277, kb_relative_information_score: 30266.5976, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9705, predictive_accuracy: 0.9706, prior_entropy: 0.863, recall: 0.9706, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.339, scimark_benchmark: 1266.976, usercpu_time_millis: 2680.037, usercpu_time_millis_testing: 9.274, usercpu_time_millis_training: 2670.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: 1.8534, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1273.3506, usercpu_time_millis: 9.808, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 8.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9607, kappa: 0.9035, kb_relative_information_score: 28612.7849, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3886, scimark_benchmark: 1281.4217, usercpu_time_millis: 3934.848, usercpu_time_millis_testing: 27.258, usercpu_time_millis_training: 3907.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9676, kappa: 0.9206, kb_relative_information_score: 30213.0696, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3498, scimark_benchmark: 1237.0336, usercpu_time_millis: 6032.674, usercpu_time_millis_testing: 11.029, usercpu_time_millis_training: 6021.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.6533, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1286.086, usercpu_time_millis: 67.92, usercpu_time_millis_testing: 8.837, usercpu_time_millis_training: 59.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 28855.2877, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3896, scimark_benchmark: 1255.0641, usercpu_time_millis: 8179.699, usercpu_time_millis_testing: 16.633, usercpu_time_millis_training: 8163.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9214, kappa: 0.8028, kb_relative_information_score: 24087.5628, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9251, predictive_accuracy: 0.9237, prior_entropy: 0.863, recall: 0.9237, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.5119, scimark_benchmark: 1265.1991, usercpu_time_millis: 249.74, usercpu_time_millis_testing: 5.071, usercpu_time_millis_training: 244.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -16.8115, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1280.4005, usercpu_time_millis: 30.403, usercpu_time_millis_testing: 3.845, usercpu_time_millis_training: 26.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9659, kappa: 0.9164, kb_relative_information_score: 29386.6266, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3634, scimark_benchmark: 1229.8155, usercpu_time_millis: 7292.13, usercpu_time_millis_testing: 23.853, usercpu_time_millis_training: 7268.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9464, kappa: 0.8682, kb_relative_information_score: 26900.8694, mean_absolute_error: 0.0932, 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: 0.2284, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4485, scimark_benchmark: 1278.6374, usercpu_time_millis: 6560.563, usercpu_time_millis_testing: 19.977, usercpu_time_millis_training: 6540.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9553, kappa: 0.8904, kb_relative_information_score: 27888.3523, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4141, scimark_benchmark: 1246.3526, usercpu_time_millis: 2036.554, usercpu_time_millis_testing: 15.473, usercpu_time_millis_training: 2021.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9343, kappa: 0.837, kb_relative_information_score: 25223.5939, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9352, prior_entropy: 0.863, recall: 0.9352, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4903, scimark_benchmark: 1145.913, usercpu_time_millis: 998.075, usercpu_time_millis_testing: 9.683, usercpu_time_millis_training: 988.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.936, kappa: 0.8411, kb_relative_information_score: 22741.674, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.937, prior_entropy: 0.863, recall: 0.937, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5151, scimark_benchmark: 1262.4844, usercpu_time_millis: 622.543, usercpu_time_millis_testing: 20.719, usercpu_time_millis_training: 601.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8574, kappa: 0.6511, kb_relative_information_score: 15470.3831, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8577, predictive_accuracy: 0.8571, prior_entropy: 0.863, recall: 0.8571, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.7385, scimark_benchmark: 1247.8796, usercpu_time_millis: 316.186, usercpu_time_millis_testing: 5.522, usercpu_time_millis_training: 310.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 28186.5898, mean_absolute_error: 0.0783, 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: 0.1918, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.405, scimark_benchmark: 1206.809, usercpu_time_millis: 3176.286, usercpu_time_millis_testing: 20.187, usercpu_time_millis_training: 3156.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.961, kappa: 0.9043, kb_relative_information_score: 28577.0341, mean_absolute_error: 0.0741, 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: 0.1815, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3875, scimark_benchmark: 1254.871, usercpu_time_millis: 531.479, usercpu_time_millis_testing: 5.905, usercpu_time_millis_training: 525.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8791, kappa: 0.7046, kb_relative_information_score: 18745.951, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8795, predictive_accuracy: 0.8788, prior_entropy: 0.863, recall: 0.8788, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.6366, scimark_benchmark: 1240.1077, usercpu_time_millis: 2795.83, usercpu_time_millis_testing: 11.079, usercpu_time_millis_training: 2784.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8579, kappa: 0.6544, kb_relative_information_score: 15547.0549, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8593, predictive_accuracy: 0.8568, prior_entropy: 0.863, recall: 0.8568, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.7443, scimark_benchmark: 1261.6289, usercpu_time_millis: 405.613, usercpu_time_millis_testing: 7.082, usercpu_time_millis_training: 398.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9611, kappa: 0.9045, kb_relative_information_score: 28692.2954, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3837, scimark_benchmark: 1242.4365, usercpu_time_millis: 967.534, usercpu_time_millis_testing: 8.875, usercpu_time_millis_training: 958.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8635, kappa: 0.67, kb_relative_information_score: 17497.382, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8662, predictive_accuracy: 0.8619, prior_entropy: 0.863, recall: 0.8619, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6856, scimark_benchmark: 1274.12, usercpu_time_millis: 2225.795, usercpu_time_millis_testing: 8.893, usercpu_time_millis_training: 2216.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9463, kappa: 0.8679, kb_relative_information_score: 26746.1043, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9462, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4477, scimark_benchmark: 1247.5383, usercpu_time_millis: 1246.542, usercpu_time_millis_testing: 13.113, usercpu_time_millis_training: 1233.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8672, kappa: 0.6781, kb_relative_information_score: 17375.0615, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8693, predictive_accuracy: 0.8658, prior_entropy: 0.863, recall: 0.8658, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6863, scimark_benchmark: 1251.6415, usercpu_time_millis: 921.789, usercpu_time_millis_testing: 4.294, usercpu_time_millis_training: 917.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29215.2329, mean_absolute_error: 0.0658, 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: 0.1613, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3703, scimark_benchmark: 1269.8962, usercpu_time_millis: 829.18, usercpu_time_millis_testing: 4.372, usercpu_time_millis_training: 824.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8678, kappa: 0.6777, kb_relative_information_score: 17289.8103, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8686, predictive_accuracy: 0.8672, prior_entropy: 0.863, recall: 0.8672, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6803, scimark_benchmark: 1286.0037, usercpu_time_millis: 265.983, usercpu_time_millis_testing: 3.09, usercpu_time_millis_training: 262.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -10.0514, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1245.467, usercpu_time_millis: 23.654, usercpu_time_millis_testing: 2.836, usercpu_time_millis_training: 20.818,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9359, kappa: 0.8412, kb_relative_information_score: 25808.5069, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4797, scimark_benchmark: 1371.5428, usercpu_time_millis: 1639.945, usercpu_time_millis_testing: 7.266, usercpu_time_millis_training: 1632.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9601, kappa: 0.9021, kb_relative_information_score: 28549.5367, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3911, scimark_benchmark: 1374.4754, usercpu_time_millis: 2120.8, usercpu_time_millis_testing: 12.924, usercpu_time_millis_training: 2107.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.868, kappa: 0.6785, kb_relative_information_score: 17401.3097, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8691, predictive_accuracy: 0.8671, prior_entropy: 0.863, recall: 0.8671, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6833, scimark_benchmark: 1372.7727, usercpu_time_millis: 741.035, usercpu_time_millis_testing: 3.603, usercpu_time_millis_training: 737.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9502, kappa: 0.8776, kb_relative_information_score: 26981.9708, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4376, scimark_benchmark: 1372.7849, usercpu_time_millis: 297.309, usercpu_time_millis_testing: 1.959, usercpu_time_millis_training: 295.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9201, kappa: 0.7989, kb_relative_information_score: 18318.0853, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9257, predictive_accuracy: 0.923, prior_entropy: 0.863, recall: 0.923, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.6023, scimark_benchmark: 1370.5512, usercpu_time_millis: 65.165, usercpu_time_millis_testing: 4.62, usercpu_time_millis_training: 60.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9643, kappa: 0.9123, kb_relative_information_score: 28974.3039, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3743, scimark_benchmark: 1365.771, usercpu_time_millis: 276.552, usercpu_time_millis_testing: 2.453, usercpu_time_millis_training: 274.099,
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: 0.9926, f_measure: 0.9649, kappa: 0.9138, kb_relative_information_score: 29375.3308, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3681, scimark_benchmark: 1367.0514, usercpu_time_millis: 1576.225, usercpu_time_millis_testing: 2.764, usercpu_time_millis_training: 1573.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9335, kappa: 0.8349, kb_relative_information_score: 25289.7133, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9345, prior_entropy: 0.863, recall: 0.9345, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4947, scimark_benchmark: 1374.7044, usercpu_time_millis: 2021.122, usercpu_time_millis_testing: 9.141, usercpu_time_millis_training: 2011.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9337, kappa: 0.8358, kb_relative_information_score: 25699.9281, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9341, predictive_accuracy: 0.9346, prior_entropy: 0.863, recall: 0.9346, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4871, scimark_benchmark: 1357.3695, usercpu_time_millis: 631.727, usercpu_time_millis_testing: 1.468, usercpu_time_millis_training: 630.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8492, kappa: 0.614, kb_relative_information_score: 12090.0199, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8714, predictive_accuracy: 0.8616, prior_entropy: 0.863, recall: 0.8616, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7375, scimark_benchmark: 1371.6283, usercpu_time_millis: 36.848, usercpu_time_millis_testing: 2.248, usercpu_time_millis_training: 34.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9671, kappa: 0.9192, kb_relative_information_score: 29840.2785, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3549, scimark_benchmark: 1368.89, usercpu_time_millis: 5874.01, usercpu_time_millis_testing: 12.367, usercpu_time_millis_training: 5861.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9546, kappa: 0.8887, kb_relative_information_score: 27884.5422, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.416, scimark_benchmark: 1370.4115, usercpu_time_millis: 4777.516, usercpu_time_millis_testing: 17.165, usercpu_time_millis_training: 4760.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9511, kappa: 0.8801, kb_relative_information_score: 27120.7479, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9512, prior_entropy: 0.863, recall: 0.9512, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4337, scimark_benchmark: 1369.1619, usercpu_time_millis: 1964.521, usercpu_time_millis_testing: 14.768, usercpu_time_millis_training: 1949.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9682, kappa: 0.922, kb_relative_information_score: 29663.5772, mean_absolute_error: 0.0605, 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: 0.1482, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3536, scimark_benchmark: 1370.5671, usercpu_time_millis: 4075.094, usercpu_time_millis_testing: 20.707, usercpu_time_millis_training: 4054.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9686, kappa: 0.9229, kb_relative_information_score: 29784.536, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.347, scimark_benchmark: 1370.6568, usercpu_time_millis: 3240.032, usercpu_time_millis_testing: 19.893, usercpu_time_millis_training: 3220.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9343, kappa: 0.8373, kb_relative_information_score: 25957.7371, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4825, scimark_benchmark: 1368.851, usercpu_time_millis: 7675.245, usercpu_time_millis_testing: 17.266, usercpu_time_millis_training: 7657.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9153, kappa: 0.7869, kb_relative_information_score: 24288.4059, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.9184, prior_entropy: 0.863, recall: 0.9184, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.5273, scimark_benchmark: 1374.7702, usercpu_time_millis: 2181.778, usercpu_time_millis_testing: 7.131, usercpu_time_millis_training: 2174.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8584, kappa: 0.6521, kb_relative_information_score: 15304.9128, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.858, predictive_accuracy: 0.8587, prior_entropy: 0.863, recall: 0.8587, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.7334, scimark_benchmark: 1370.4344, usercpu_time_millis: 286.549, usercpu_time_millis_testing: 8.001, usercpu_time_millis_training: 278.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9442, kappa: 0.8627, kb_relative_information_score: 26589.8876, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.9445, prior_entropy: 0.863, recall: 0.9445, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4598, scimark_benchmark: 1374.8381, usercpu_time_millis: 5953.857, usercpu_time_millis_testing: 11.71, usercpu_time_millis_training: 5942.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 4.016, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1376.5707, usercpu_time_millis: 9.799, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 8.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9202, kappa: 0.7998, kb_relative_information_score: 24642.5541, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9244, predictive_accuracy: 0.9228, prior_entropy: 0.863, recall: 0.9228, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.231, root_relative_squared_error: 0.5115, scimark_benchmark: 1369.4562, usercpu_time_millis: 1039.384, usercpu_time_millis_testing: 9.656, usercpu_time_millis_training: 1029.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9158, kappa: 0.788, kb_relative_information_score: 24288.0091, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9211, predictive_accuracy: 0.9188, prior_entropy: 0.863, recall: 0.9188, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.5278, scimark_benchmark: 1370.3197, usercpu_time_millis: 175.484, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 174.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28807.4062, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3835, scimark_benchmark: 1370.0257, usercpu_time_millis: 1934.547, usercpu_time_millis_testing: 7.487, usercpu_time_millis_training: 1927.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29499.4113, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3525, scimark_benchmark: 1370.1083, usercpu_time_millis: 1139.08, usercpu_time_millis_testing: 14.42, usercpu_time_millis_training: 1124.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9645, kappa: 0.9128, kb_relative_information_score: 29133.6852, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3685, scimark_benchmark: 1368.2497, usercpu_time_millis: 3486.78, usercpu_time_millis_testing: 26.037, usercpu_time_millis_training: 3460.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9541, kappa: 0.8875, kb_relative_information_score: 27977.9554, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4155, scimark_benchmark: 1364.0189, usercpu_time_millis: 7594.875, usercpu_time_millis_testing: 16.984, usercpu_time_millis_training: 7577.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9421, kappa: 0.8574, kb_relative_information_score: 27047.4906, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9423, prior_entropy: 0.863, recall: 0.9423, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4573, scimark_benchmark: 1370.7189, usercpu_time_millis: 4611.97, usercpu_time_millis_testing: 5.9, usercpu_time_millis_training: 4606.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9689, kappa: 0.9236, kb_relative_information_score: 29613.6492, mean_absolute_error: 0.062, 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: 0.1519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.3451, scimark_benchmark: 1368.4741, usercpu_time_millis: 1270.551, usercpu_time_millis_testing: 23.173, usercpu_time_millis_training: 1247.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9695, kappa: 0.9252, kb_relative_information_score: 30138.3694, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.863, recall: 0.9695, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3396, scimark_benchmark: 1367.9477, usercpu_time_millis: 5789.735, usercpu_time_millis_testing: 23.786, usercpu_time_millis_training: 5765.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9686, kappa: 0.9229, kb_relative_information_score: 29812.3208, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3506, scimark_benchmark: 1361.3187, usercpu_time_millis: 8208.964, usercpu_time_millis_testing: 19.692, usercpu_time_millis_training: 8189.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.2249, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1369.3673, usercpu_time_millis: 47.561, usercpu_time_millis_testing: 7.638, usercpu_time_millis_training: 39.923,

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