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: 0.9756, f_measure: 0.847, kappa: 0.6074, kb_relative_information_score: 14331.7559, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8759, predictive_accuracy: 0.861, prior_entropy: 0.863, recall: 0.861, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6933, scimark_benchmark: 1268.3479, usercpu_time_millis: 272.011, usercpu_time_millis_testing: 24.135, usercpu_time_millis_training: 247.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.878, kappa: 0.6892, kb_relative_information_score: 14333.7487, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8932, predictive_accuracy: 0.8858, prior_entropy: 0.863, recall: 0.8858, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6917, scimark_benchmark: 1267.4264, usercpu_time_millis: 170.774, usercpu_time_millis_testing: 15.062, usercpu_time_millis_training: 155.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9445, kappa: 0.8626, kb_relative_information_score: 24779.6628, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4714, scimark_benchmark: 1262.2597, usercpu_time_millis: 887.051, usercpu_time_millis_testing: 33.121, usercpu_time_millis_training: 853.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9601, kappa: 0.902, kb_relative_information_score: 28477.7761, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3912, scimark_benchmark: 1301.1234, usercpu_time_millis: 2647.327, usercpu_time_millis_testing: 46.678, usercpu_time_millis_training: 2600.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9657, kappa: 0.9159, kb_relative_information_score: 29224.8734, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3618, scimark_benchmark: 1265.0313, usercpu_time_millis: 4337.454, usercpu_time_millis_testing: 67.915, usercpu_time_millis_training: 4269.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9394, kappa: 0.85, kb_relative_information_score: 25307.1257, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.477, scimark_benchmark: 1249.8768, usercpu_time_millis: 1339.997, usercpu_time_millis_testing: 64.542, usercpu_time_millis_training: 1275.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9512, kappa: 0.8799, kb_relative_information_score: 26684.468, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4351, scimark_benchmark: 1218.6681, usercpu_time_millis: 1064.814, usercpu_time_millis_testing: 29.655, usercpu_time_millis_training: 1035.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9639, kappa: 0.9114, kb_relative_information_score: 28871.1711, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3719, scimark_benchmark: 1250.4603, usercpu_time_millis: 2082.857, usercpu_time_millis_testing: 56.004, usercpu_time_millis_training: 2026.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9653, kappa: 0.9147, kb_relative_information_score: 29090.2638, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.164, root_relative_squared_error: 0.363, scimark_benchmark: 1257.9415, usercpu_time_millis: 297.995, usercpu_time_millis_testing: 9.885, usercpu_time_millis_training: 288.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9404, kappa: 0.8529, kb_relative_information_score: 26117.4391, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9405, predictive_accuracy: 0.9409, prior_entropy: 0.863, recall: 0.9409, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4656, scimark_benchmark: 1295.4746, usercpu_time_millis: 3012.814, usercpu_time_millis_testing: 42.991, usercpu_time_millis_training: 2969.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9533, kappa: 0.8855, kb_relative_information_score: 27504.1828, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4253, scimark_benchmark: 1273.9334, usercpu_time_millis: 7268.517, usercpu_time_millis_testing: 62.491, usercpu_time_millis_training: 7206.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8639, kappa: 0.6522, kb_relative_information_score: 12443.9713, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8836, predictive_accuracy: 0.874, prior_entropy: 0.863, recall: 0.874, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.33, root_relative_squared_error: 0.7305, scimark_benchmark: 1237.9329, usercpu_time_millis: 287.23, usercpu_time_millis_testing: 25.938, usercpu_time_millis_training: 261.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9658, kappa: 0.916, kb_relative_information_score: 28715.5834, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3674, scimark_benchmark: 1251.1315, usercpu_time_millis: 656.795, usercpu_time_millis_testing: 30.59, usercpu_time_millis_training: 626.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8983, kappa: 0.7486, kb_relative_information_score: 19994.2168, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8979, predictive_accuracy: 0.8992, prior_entropy: 0.863, recall: 0.8992, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5877, scimark_benchmark: 1266.3819, usercpu_time_millis: 680.21, usercpu_time_millis_testing: 34.373, usercpu_time_millis_training: 645.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9493, kappa: 0.8753, kb_relative_information_score: 26723.3748, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4409, scimark_benchmark: 1246.8959, usercpu_time_millis: 955.84, usercpu_time_millis_testing: 22.446, usercpu_time_millis_training: 933.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.953, kappa: 0.8839, kb_relative_information_score: 25952.3779, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.2731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4385, scimark_benchmark: 1248.3105, usercpu_time_millis: 2586.417, usercpu_time_millis_testing: 101.465, usercpu_time_millis_training: 2484.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29105.2325, mean_absolute_error: 0.0681, 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: 0.1668, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3648, scimark_benchmark: 1245.4288, usercpu_time_millis: 1641.311, usercpu_time_millis_testing: 30.736, usercpu_time_millis_training: 1610.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.966, kappa: 0.9164, kb_relative_information_score: 29287.1148, mean_absolute_error: 0.0658, 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: 0.1612, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3594, scimark_benchmark: 1259.028, usercpu_time_millis: 2121.292, usercpu_time_millis_testing: 50.164, usercpu_time_millis_training: 2071.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9699, kappa: 0.9261, kb_relative_information_score: 29941.8839, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9699, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3405, scimark_benchmark: 1262.6647, usercpu_time_millis: 154.699, usercpu_time_millis_testing: 5.521, usercpu_time_millis_training: 149.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 29273.0955, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.364, scimark_benchmark: 1263.4941, usercpu_time_millis: 7841.178, usercpu_time_millis_testing: 85.892, usercpu_time_millis_training: 7755.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9406, kappa: 0.8532, kb_relative_information_score: 26086.3163, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9411, prior_entropy: 0.863, recall: 0.9411, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4652, scimark_benchmark: 1294.1391, usercpu_time_millis: 3797.274, usercpu_time_millis_testing: 77.861, usercpu_time_millis_training: 3719.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8335, kappa: 0.5723, kb_relative_information_score: 13722.1151, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8678, predictive_accuracy: 0.8505, prior_entropy: 0.863, recall: 0.8505, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.7064, scimark_benchmark: 1247.4102, usercpu_time_millis: 399.112, usercpu_time_millis_testing: 33.492, usercpu_time_millis_training: 365.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9596, kappa: 0.9007, kb_relative_information_score: 28025.9575, mean_absolute_error: 0.0823, 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: 0.2016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.395, scimark_benchmark: 1255.4519, usercpu_time_millis: 1655.24, usercpu_time_millis_testing: 71.575, usercpu_time_millis_training: 1583.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9404, kappa: 0.8524, kb_relative_information_score: 25261.6348, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.941, prior_entropy: 0.863, recall: 0.941, relative_absolute_error: 0.2858, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4752, scimark_benchmark: 1266.3118, usercpu_time_millis: 2887.467, usercpu_time_millis_testing: 78.044, usercpu_time_millis_training: 2809.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9533, kappa: 0.8851, kb_relative_information_score: 27106.4976, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4256, scimark_benchmark: 1239.5672, usercpu_time_millis: 834.573, usercpu_time_millis_testing: 36.9, usercpu_time_millis_training: 797.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9193, kappa: 0.7984, kb_relative_information_score: 20421.5002, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9211, predictive_accuracy: 0.9212, prior_entropy: 0.863, recall: 0.9212, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5693, scimark_benchmark: 1253.7815, usercpu_time_millis: 77.493, usercpu_time_millis_testing: 4.274, usercpu_time_millis_training: 73.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9643, kappa: 0.9123, kb_relative_information_score: 28870.438, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3728, scimark_benchmark: 1258.7551, usercpu_time_millis: 2493.306, usercpu_time_millis_testing: 79.112, usercpu_time_millis_training: 2414.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 29006.2473, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3718, scimark_benchmark: 1235.0829, usercpu_time_millis: 186.528, usercpu_time_millis_testing: 9.177, usercpu_time_millis_training: 177.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 28263.7946, mean_absolute_error: 0.0784, 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: 0.1921, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3922, scimark_benchmark: 1271.7586, usercpu_time_millis: 3023.652, usercpu_time_millis_testing: 63.693, usercpu_time_millis_training: 2959.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9524, kappa: 0.8826, kb_relative_information_score: 25987.8778, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9526, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4399, scimark_benchmark: 1242.6214, usercpu_time_millis: 1060.406, usercpu_time_millis_testing: 58.965, usercpu_time_millis_training: 1001.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9484, kappa: 0.8729, kb_relative_information_score: 26594.2203, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9483, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4436, scimark_benchmark: 1270.242, usercpu_time_millis: 3512.497, usercpu_time_millis_testing: 62.887, usercpu_time_millis_training: 3449.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 28759.5534, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.373, scimark_benchmark: 1302.3171, usercpu_time_millis: 2638.443, usercpu_time_millis_testing: 58.872, usercpu_time_millis_training: 2579.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9289, kappa: 0.8214, kb_relative_information_score: 19059.2331, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9335, predictive_accuracy: 0.9311, prior_entropy: 0.863, recall: 0.9311, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.584, scimark_benchmark: 1257.0326, usercpu_time_millis: 1110.536, usercpu_time_millis_testing: 72.294, usercpu_time_millis_training: 1038.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9491, kappa: 0.8743, kb_relative_information_score: 25908.8409, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4485, scimark_benchmark: 1273.4596, usercpu_time_millis: 2743.724, usercpu_time_millis_testing: 71.472, usercpu_time_millis_training: 2672.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.932, kappa: 0.8308, kb_relative_information_score: 23788.7795, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.5039, scimark_benchmark: 1239.4852, usercpu_time_millis: 1847.414, usercpu_time_millis_testing: 48.257, usercpu_time_millis_training: 1799.157,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9577, kappa: 0.8961, kb_relative_information_score: 27962.8466, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4046, scimark_benchmark: 1215.8946, usercpu_time_millis: 86.129, usercpu_time_millis_testing: 4.886, usercpu_time_millis_training: 81.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9629, kappa: 0.9089, kb_relative_information_score: 28514.0265, mean_absolute_error: 0.0764, 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: 0.1873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3776, scimark_benchmark: 1268.4769, usercpu_time_millis: 427.378, usercpu_time_millis_testing: 15.271, usercpu_time_millis_training: 412.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9683, kappa: 0.9221, kb_relative_information_score: 29811.1836, mean_absolute_error: 0.0588, 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: 0.1441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3454, scimark_benchmark: 1271.448, usercpu_time_millis: 4210.872, usercpu_time_millis_testing: 61.449, usercpu_time_millis_training: 4149.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9589, kappa: 0.8989, kb_relative_information_score: 27990.6023, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3987, scimark_benchmark: 1256.2506, usercpu_time_millis: 4318.465, usercpu_time_millis_testing: 103.378, usercpu_time_millis_training: 4215.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 27594.6728, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4206, scimark_benchmark: 1260.4287, usercpu_time_millis: 3389.027, usercpu_time_millis_testing: 65.92, usercpu_time_millis_training: 3323.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9522, kappa: 0.8825, kb_relative_information_score: 27116.7193, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9523, prior_entropy: 0.863, recall: 0.9523, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4311, scimark_benchmark: 1293.2829, usercpu_time_millis: 1789.66, usercpu_time_millis_testing: 51.01, usercpu_time_millis_training: 1738.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9379, kappa: 0.8464, kb_relative_information_score: 25818.7073, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.4735, scimark_benchmark: 1291.6142, usercpu_time_millis: 4227.532, usercpu_time_millis_testing: 41.016, usercpu_time_millis_training: 4186.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9265, kappa: 0.8169, kb_relative_information_score: 21811.8312, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9279, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.5396, scimark_benchmark: 1270.9333, usercpu_time_millis: 711.876, usercpu_time_millis_testing: 34.312, usercpu_time_millis_training: 677.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9518, kappa: 0.8818, kb_relative_information_score: 27170.8099, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9518, predictive_accuracy: 0.9519, prior_entropy: 0.863, recall: 0.9519, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4318, scimark_benchmark: 1284.5121, usercpu_time_millis: 275.667, usercpu_time_millis_testing: 4.968, usercpu_time_millis_training: 270.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8637, kappa: 0.6511, kb_relative_information_score: 15234.4623, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.887, predictive_accuracy: 0.8746, prior_entropy: 0.863, recall: 0.8746, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6727, scimark_benchmark: 1262.2397, usercpu_time_millis: 972.076, usercpu_time_millis_testing: 76.231, usercpu_time_millis_training: 895.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9616, kappa: 0.9057, kb_relative_information_score: 28548.1258, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3845, scimark_benchmark: 1270.872, usercpu_time_millis: 2505.425, usercpu_time_millis_testing: 85.944, usercpu_time_millis_training: 2419.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9493, kappa: 0.8741, kb_relative_information_score: 22980.4106, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.863, recall: 0.95, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4933, scimark_benchmark: 1269.908, usercpu_time_millis: 1105.917, usercpu_time_millis_testing: 90.736, usercpu_time_millis_training: 1015.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.953, kappa: 0.8847, kb_relative_information_score: 27352.1722, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4273, scimark_benchmark: 1300.1369, usercpu_time_millis: 1538.271, usercpu_time_millis_testing: 32.782, usercpu_time_millis_training: 1505.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29766.4614, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3464, scimark_benchmark: 1264.5498, usercpu_time_millis: 2864.64, usercpu_time_millis_testing: 35.769, usercpu_time_millis_training: 2828.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9564, kappa: 0.8923, kb_relative_information_score: 25865.3756, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4299, scimark_benchmark: 1259.9619, usercpu_time_millis: 400.417, usercpu_time_millis_testing: 28.631, usercpu_time_millis_training: 371.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9185, kappa: 0.7953, kb_relative_information_score: 17184.9895, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.284, root_relative_squared_error: 0.6288, scimark_benchmark: 1270.7045, usercpu_time_millis: 383.824, usercpu_time_millis_testing: 30.647, usercpu_time_millis_training: 353.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9542, kappa: 0.8875, kb_relative_information_score: 27517.9802, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4216, scimark_benchmark: 1314.5077, usercpu_time_millis: 3065.65, usercpu_time_millis_testing: 83.143, usercpu_time_millis_training: 2982.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9578, kappa: 0.8965, kb_relative_information_score: 28286.0931, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4004, scimark_benchmark: 1302.8123, usercpu_time_millis: 204.606, usercpu_time_millis_testing: 4.419, usercpu_time_millis_training: 200.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9475, kappa: 0.8709, kb_relative_information_score: 26813.7373, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9474, predictive_accuracy: 0.9476, prior_entropy: 0.863, recall: 0.9476, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4434, scimark_benchmark: 1273.5571, usercpu_time_millis: 5937.043, usercpu_time_millis_testing: 94.137, usercpu_time_millis_training: 5842.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.961, kappa: 0.9042, kb_relative_information_score: 28563.2888, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3851, scimark_benchmark: 1270.3028, usercpu_time_millis: 634.658, usercpu_time_millis_testing: 17.778, usercpu_time_millis_training: 616.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9359, kappa: 0.8412, kb_relative_information_score: 25492.241, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4855, scimark_benchmark: 1312.6984, usercpu_time_millis: 2819.645, usercpu_time_millis_testing: 31.525, usercpu_time_millis_training: 2788.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9523, kappa: 0.8828, kb_relative_information_score: 27149.2366, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9522, predictive_accuracy: 0.9524, prior_entropy: 0.863, recall: 0.9524, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4311, scimark_benchmark: 1316.3507, usercpu_time_millis: 3033.396, usercpu_time_millis_testing: 51.099, usercpu_time_millis_training: 2982.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9642, kappa: 0.912, kb_relative_information_score: 29036.7287, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3726, scimark_benchmark: 1266.9628, usercpu_time_millis: 5678.132, usercpu_time_millis_testing: 96.964, usercpu_time_millis_training: 5581.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9564, kappa: 0.8928, kb_relative_information_score: 27533.943, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4122, scimark_benchmark: 1270.3298, usercpu_time_millis: 4000.733, usercpu_time_millis_testing: 90.123, usercpu_time_millis_training: 3910.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9391, kappa: 0.8492, kb_relative_information_score: 25117.1904, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9395, predictive_accuracy: 0.9399, prior_entropy: 0.863, recall: 0.9399, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4798, scimark_benchmark: 1250.2911, usercpu_time_millis: 408.78, usercpu_time_millis_testing: 11.433, usercpu_time_millis_training: 397.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9439, kappa: 0.8611, kb_relative_information_score: 24112.2146, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4842, scimark_benchmark: 1249.3907, usercpu_time_millis: 1518.479, usercpu_time_millis_testing: 59.045, usercpu_time_millis_training: 1459.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9586, kappa: 0.8984, kb_relative_information_score: 28049.151, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3988, scimark_benchmark: 1272.2351, usercpu_time_millis: 4291.215, usercpu_time_millis_testing: 118.088, usercpu_time_millis_training: 4173.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9567, kappa: 0.8935, kb_relative_information_score: 27647.5626, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.4085, scimark_benchmark: 1270.9407, usercpu_time_millis: 553.173, usercpu_time_millis_testing: 26.127, usercpu_time_millis_training: 527.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9689, kappa: 0.9238, kb_relative_information_score: 29948.4115, mean_absolute_error: 0.057, 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: 0.1397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3402, scimark_benchmark: 1262.9627, usercpu_time_millis: 1344.991, usercpu_time_millis_testing: 24.667, usercpu_time_millis_training: 1320.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9632, kappa: 0.9095, kb_relative_information_score: 28759.3849, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3759, scimark_benchmark: 1276.449, usercpu_time_millis: 3483.96, usercpu_time_millis_testing: 107.788, usercpu_time_millis_training: 3376.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9427, kappa: 0.8583, kb_relative_information_score: 25771.9947, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4637, scimark_benchmark: 1270.4955, usercpu_time_millis: 4055.694, usercpu_time_millis_testing: 73.772, usercpu_time_millis_training: 3981.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9568, kappa: 0.894, kb_relative_information_score: 27629.3289, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.4113, scimark_benchmark: 1253.3015, usercpu_time_millis: 1954.601, usercpu_time_millis_testing: 36.224, usercpu_time_millis_training: 1918.377,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs