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: 0.9887, f_measure: 0.9483, kappa: 0.8722, kb_relative_information_score: 25467.8278, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.455, scimark_benchmark: 1265.1046, usercpu_time_millis: 2298.948, usercpu_time_millis_testing: 72.23, usercpu_time_millis_training: 2226.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.939, kappa: 0.8486, kb_relative_information_score: 24665.2874, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9395, predictive_accuracy: 0.9398, prior_entropy: 0.863, recall: 0.9398, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4851, scimark_benchmark: 1261.9795, usercpu_time_millis: 545.917, usercpu_time_millis_testing: 17.404, usercpu_time_millis_training: 528.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9597, kappa: 0.9009, kb_relative_information_score: 27847.8846, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.395, scimark_benchmark: 1257.9985, usercpu_time_millis: 165.901, usercpu_time_millis_testing: 10.603, usercpu_time_millis_training: 155.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9602, kappa: 0.9023, kb_relative_information_score: 28526.3556, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3904, scimark_benchmark: 1259.0496, usercpu_time_millis: 4053.827, usercpu_time_millis_testing: 76.462, usercpu_time_millis_training: 3977.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9579, kappa: 0.8967, kb_relative_information_score: 28064.8038, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4026, scimark_benchmark: 1251.9475, usercpu_time_millis: 3806.18, usercpu_time_millis_testing: 43.432, usercpu_time_millis_training: 3762.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9375, kappa: 0.8451, kb_relative_information_score: 24914.9058, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4867, scimark_benchmark: 1189.5684, usercpu_time_millis: 2228.908, usercpu_time_millis_testing: 44.922, usercpu_time_millis_training: 2183.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9391, kappa: 0.8491, kb_relative_information_score: 24832.253, mean_absolute_error: 0.1228, 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: 0.301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4826, scimark_benchmark: 1252.1012, usercpu_time_millis: 3241.394, usercpu_time_millis_testing: 74.96, usercpu_time_millis_training: 3166.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9431, kappa: 0.8592, kb_relative_information_score: 25791.9117, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4624, scimark_benchmark: 1268.1561, usercpu_time_millis: 765.461, usercpu_time_millis_testing: 24.705, usercpu_time_millis_training: 740.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9379, kappa: 0.8456, kb_relative_information_score: 21732.9029, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9388, prior_entropy: 0.863, recall: 0.9388, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.5328, scimark_benchmark: 1228.0943, usercpu_time_millis: 661.045, usercpu_time_millis_testing: 33.307, usercpu_time_millis_training: 627.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9593, kappa: 0.9, kb_relative_information_score: 28025.746, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3978, scimark_benchmark: 1239.6856, usercpu_time_millis: 403.646, usercpu_time_millis_testing: 12.264, usercpu_time_millis_training: 391.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9496, kappa: 0.8764, kb_relative_information_score: 27038.529, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.2262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.439, scimark_benchmark: 1247.1262, usercpu_time_millis: 1673.23, usercpu_time_millis_testing: 18.929, usercpu_time_millis_training: 1654.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9421, kappa: 0.857, kb_relative_information_score: 25884.9842, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4636, scimark_benchmark: 1247.5564, usercpu_time_millis: 3371.956, usercpu_time_millis_testing: 50.268, usercpu_time_millis_training: 3321.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9308, kappa: 0.8277, kb_relative_information_score: 24634.1464, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9318, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4985, scimark_benchmark: 1291.6409, usercpu_time_millis: 2046.925, usercpu_time_millis_testing: 35.137, usercpu_time_millis_training: 2011.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.95, kappa: 0.8768, kb_relative_information_score: 26431.9386, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4402, scimark_benchmark: 1238.4195, usercpu_time_millis: 2909.44, usercpu_time_millis_testing: 82.806, usercpu_time_millis_training: 2826.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8605, kappa: 0.6429, kb_relative_information_score: 15111.2244, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8848, predictive_accuracy: 0.872, prior_entropy: 0.863, recall: 0.872, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6756, scimark_benchmark: 1269.0073, usercpu_time_millis: 678.726, usercpu_time_millis_testing: 52.998, usercpu_time_millis_training: 625.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9606, kappa: 0.9029, kb_relative_information_score: 27482.1929, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3981, scimark_benchmark: 1251.2813, usercpu_time_millis: 1132.919, usercpu_time_millis_testing: 47.504, usercpu_time_millis_training: 1085.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9252, kappa: 0.8131, kb_relative_information_score: 22660.5783, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.927, prior_entropy: 0.863, recall: 0.927, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5255, scimark_benchmark: 1257.4331, usercpu_time_millis: 778.186, usercpu_time_millis_testing: 39.924, usercpu_time_millis_training: 738.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9513, kappa: 0.8793, kb_relative_information_score: 23486.541, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4807, scimark_benchmark: 1247.2151, usercpu_time_millis: 164.457, usercpu_time_millis_testing: 12.278, usercpu_time_millis_training: 152.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9658, kappa: 0.916, kb_relative_information_score: 29191.7358, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3617, scimark_benchmark: 1252.824, usercpu_time_millis: 825.085, usercpu_time_millis_testing: 24.847, usercpu_time_millis_training: 800.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9322, kappa: 0.8314, kb_relative_information_score: 21769.5095, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9333, predictive_accuracy: 0.9334, prior_entropy: 0.863, recall: 0.9334, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5349, scimark_benchmark: 1232.267, usercpu_time_millis: 918.417, usercpu_time_millis_testing: 46.454, usercpu_time_millis_training: 871.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.844, kappa: 0.5997, kb_relative_information_score: 14342.1208, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8742, predictive_accuracy: 0.8587, prior_entropy: 0.863, recall: 0.8587, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6934, scimark_benchmark: 1241.9576, usercpu_time_millis: 456.339, usercpu_time_millis_testing: 37.531, usercpu_time_millis_training: 418.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9629, kappa: 0.909, kb_relative_information_score: 28668.6026, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3779, scimark_benchmark: 1266.3714, usercpu_time_millis: 2723.333, usercpu_time_millis_testing: 102.113, usercpu_time_millis_training: 2621.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9349, kappa: 0.8383, kb_relative_information_score: 22934.5794, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9358, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5143, scimark_benchmark: 1226.5868, usercpu_time_millis: 406.974, usercpu_time_millis_testing: 29.659, usercpu_time_millis_training: 377.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9689, kappa: 0.9237, kb_relative_information_score: 29866.766, mean_absolute_error: 0.0581, 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: 0.1423, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.344, scimark_benchmark: 1254.6284, usercpu_time_millis: 2130.591, usercpu_time_millis_testing: 24.641, usercpu_time_millis_training: 2105.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9527, kappa: 0.8832, kb_relative_information_score: 26393.0867, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4339, scimark_benchmark: 1230.4173, usercpu_time_millis: 737.197, usercpu_time_millis_testing: 29.374, usercpu_time_millis_training: 707.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.8929, kappa: 0.7353, kb_relative_information_score: 16215.1844, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8925, predictive_accuracy: 0.8939, prior_entropy: 0.863, recall: 0.8939, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6603, scimark_benchmark: 1245.4759, usercpu_time_millis: 283.889, usercpu_time_millis_testing: 17.123, usercpu_time_millis_training: 266.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9693, kappa: 0.9248, kb_relative_information_score: 29918.8714, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9693, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3378, scimark_benchmark: 1263.6776, usercpu_time_millis: 1532.909, usercpu_time_millis_testing: 36.62, usercpu_time_millis_training: 1496.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9658, kappa: 0.916, kb_relative_information_score: 29187.6433, mean_absolute_error: 0.067, 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: 0.1642, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3629, scimark_benchmark: 1258.7546, usercpu_time_millis: 1917.441, usercpu_time_millis_testing: 45.314, usercpu_time_millis_training: 1872.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9526, kappa: 0.8833, kb_relative_information_score: 26768.3852, mean_absolute_error: 0.098, 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: 0.2401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4313, scimark_benchmark: 1247.7202, usercpu_time_millis: 868.766, usercpu_time_millis_testing: 19.162, usercpu_time_millis_training: 849.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9622, kappa: 0.9072, kb_relative_information_score: 28565.0694, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3813, scimark_benchmark: 1247.2664, usercpu_time_millis: 2767.392, usercpu_time_millis_testing: 68.292, usercpu_time_millis_training: 2699.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9389, kappa: 0.8491, kb_relative_information_score: 25972.353, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.939, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.469, scimark_benchmark: 1245.1611, usercpu_time_millis: 4561.604, usercpu_time_millis_testing: 79.249, usercpu_time_millis_training: 4482.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9569, kappa: 0.8942, kb_relative_information_score: 27886.1981, mean_absolute_error: 0.0826, 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: 0.2024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4079, scimark_benchmark: 1233.5737, usercpu_time_millis: 698.685, usercpu_time_millis_testing: 20.28, usercpu_time_millis_training: 678.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9416, kappa: 0.8556, kb_relative_information_score: 25516.7299, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9418, predictive_accuracy: 0.9422, prior_entropy: 0.863, recall: 0.9422, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.469, scimark_benchmark: 1258.2442, usercpu_time_millis: 1476.684, usercpu_time_millis_testing: 66.709, usercpu_time_millis_training: 1409.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9648, kappa: 0.9131, kb_relative_information_score: 27471.1349, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3852, scimark_benchmark: 1259.8934, usercpu_time_millis: 762.261, usercpu_time_millis_testing: 34.341, usercpu_time_millis_training: 727.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9372, kappa: 0.844, kb_relative_information_score: 21527.4223, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.5371, scimark_benchmark: 1251.9235, usercpu_time_millis: 411.306, usercpu_time_millis_testing: 20.34, usercpu_time_millis_training: 390.966,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9201, kappa: 0.7995, kb_relative_information_score: 22013.8621, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9237, predictive_accuracy: 0.9225, prior_entropy: 0.863, recall: 0.9225, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.5405, scimark_benchmark: 1240.5994, usercpu_time_millis: 569.868, usercpu_time_millis_testing: 32.232, usercpu_time_millis_training: 537.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9416, kappa: 0.855, kb_relative_information_score: 22591.7849, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9424, prior_entropy: 0.863, recall: 0.9424, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.5141, scimark_benchmark: 1241.8417, usercpu_time_millis: 1744.065, usercpu_time_millis_testing: 91.16, usercpu_time_millis_training: 1652.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9623, kappa: 0.9074, kb_relative_information_score: 28751.9153, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3802, scimark_benchmark: 1243.7784, usercpu_time_millis: 861.949, usercpu_time_millis_testing: 19.436, usercpu_time_millis_training: 842.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9657, kappa: 0.9159, kb_relative_information_score: 29165.7072, mean_absolute_error: 0.0675, 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: 0.1655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3613, scimark_benchmark: 1258.5121, usercpu_time_millis: 1836.714, usercpu_time_millis_testing: 50.025, usercpu_time_millis_training: 1786.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9316, kappa: 0.83, kb_relative_information_score: 24986.8639, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4967, scimark_benchmark: 1246.6785, usercpu_time_millis: 4922.739, usercpu_time_millis_testing: 63.898, usercpu_time_millis_training: 4858.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9507, kappa: 0.8788, kb_relative_information_score: 26827.7799, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9509, prior_entropy: 0.863, recall: 0.9509, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4363, scimark_benchmark: 1237.5918, usercpu_time_millis: 2836.794, usercpu_time_millis_testing: 50.799, usercpu_time_millis_training: 2785.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9615, kappa: 0.9053, kb_relative_information_score: 28042.8742, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3872, scimark_benchmark: 1261.9226, usercpu_time_millis: 682.313, usercpu_time_millis_testing: 40.866, usercpu_time_millis_training: 641.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9253, kappa: 0.8134, kb_relative_information_score: 22831.7903, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9272, predictive_accuracy: 0.927, prior_entropy: 0.863, recall: 0.927, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.5239, scimark_benchmark: 1247.8098, usercpu_time_millis: 258.295, usercpu_time_millis_testing: 9.194, usercpu_time_millis_training: 249.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9317, kappa: 0.83, kb_relative_information_score: 22618.3462, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5213, scimark_benchmark: 1258.9872, usercpu_time_millis: 319.548, usercpu_time_millis_testing: 18.048, usercpu_time_millis_training: 301.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9532, kappa: 0.8849, kb_relative_information_score: 27197.8474, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4274, scimark_benchmark: 1246.3679, usercpu_time_millis: 3757.014, usercpu_time_millis_testing: 66.212, usercpu_time_millis_training: 3690.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9569, kappa: 0.8942, kb_relative_information_score: 27724.5425, mean_absolute_error: 0.0848, 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: 0.2078, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.4103, scimark_benchmark: 1214.871, usercpu_time_millis: 1126.201, usercpu_time_millis_testing: 22.534, usercpu_time_millis_training: 1103.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 29415.0195, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3547, scimark_benchmark: 1252.0886, usercpu_time_millis: 2149.773, usercpu_time_millis_testing: 50.518, usercpu_time_millis_training: 2099.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9643, kappa: 0.9123, kb_relative_information_score: 28739.0267, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3718, scimark_benchmark: 1252.9988, usercpu_time_millis: 865.946, usercpu_time_millis_testing: 33.719, usercpu_time_millis_training: 832.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9682, kappa: 0.9221, kb_relative_information_score: 29778.9579, mean_absolute_error: 0.0595, 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: 0.1458, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3427, scimark_benchmark: 1246.2586, usercpu_time_millis: 1561.786, usercpu_time_millis_testing: 34.575, usercpu_time_millis_training: 1527.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9641, kappa: 0.9118, kb_relative_information_score: 28988.592, mean_absolute_error: 0.0695, 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: 0.1702, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3695, scimark_benchmark: 1233.7912, usercpu_time_millis: 515.66, usercpu_time_millis_testing: 14.091, usercpu_time_millis_training: 501.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.925, kappa: 0.8124, kb_relative_information_score: 18311.4392, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9274, predictive_accuracy: 0.9269, prior_entropy: 0.863, recall: 0.9269, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.605, scimark_benchmark: 1255.3317, usercpu_time_millis: 364.708, usercpu_time_millis_testing: 23.267, usercpu_time_millis_training: 341.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9522, kappa: 0.8826, kb_relative_information_score: 27049.1294, mean_absolute_error: 0.093, 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: 0.2279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.432, scimark_benchmark: 1254.6184, usercpu_time_millis: 357.123, usercpu_time_millis_testing: 9.782, usercpu_time_millis_training: 347.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9548, kappa: 0.889, kb_relative_information_score: 27343.1286, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4207, scimark_benchmark: 1238.5851, usercpu_time_millis: 458.998, usercpu_time_millis_testing: 10.246, usercpu_time_millis_training: 448.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9655, kappa: 0.9154, kb_relative_information_score: 29395.4617, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3603, scimark_benchmark: 1236.8671, usercpu_time_millis: 5200.984, usercpu_time_millis_testing: 57.813, usercpu_time_millis_training: 5143.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9531, kappa: 0.8847, kb_relative_information_score: 27005.0445, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4276, scimark_benchmark: 1252.5408, usercpu_time_millis: 293.767, usercpu_time_millis_testing: 10.716, usercpu_time_millis_training: 283.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8726, kappa: 0.6888, kb_relative_information_score: 17521.5078, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.873, predictive_accuracy: 0.8723, prior_entropy: 0.863, recall: 0.8723, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6567, scimark_benchmark: 1258.805, usercpu_time_millis: 699.454, usercpu_time_millis_testing: 28.66, usercpu_time_millis_training: 670.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9589, kappa: 0.8989, kb_relative_information_score: 27715.7903, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.402, scimark_benchmark: 1241.1826, usercpu_time_millis: 4589.725, usercpu_time_millis_testing: 116.05, usercpu_time_millis_training: 4473.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9489, kappa: 0.8739, kb_relative_information_score: 26006.2771, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.949, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4482, scimark_benchmark: 1259.8394, usercpu_time_millis: 696.605, usercpu_time_millis_testing: 19.227, usercpu_time_millis_training: 677.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9504, kappa: 0.8778, kb_relative_information_score: 26389.3778, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9507, prior_entropy: 0.863, recall: 0.9507, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4401, scimark_benchmark: 1248.6157, usercpu_time_millis: 827.901, usercpu_time_millis_testing: 32.729, usercpu_time_millis_training: 795.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9195, kappa: 0.7978, kb_relative_information_score: 24198.9729, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9237, predictive_accuracy: 0.922, prior_entropy: 0.863, recall: 0.922, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.5132, scimark_benchmark: 1254.1317, usercpu_time_millis: 2726.029, usercpu_time_millis_testing: 49.113, usercpu_time_millis_training: 2676.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9469, kappa: 0.8689, kb_relative_information_score: 26100.4298, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9473, prior_entropy: 0.863, recall: 0.9473, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4491, scimark_benchmark: 1244.3808, usercpu_time_millis: 78.835, usercpu_time_millis_testing: 4, usercpu_time_millis_training: 74.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9481, kappa: 0.8723, kb_relative_information_score: 26692.0727, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4434, scimark_benchmark: 1251.4752, usercpu_time_millis: 1148.749, usercpu_time_millis_testing: 37.372, usercpu_time_millis_training: 1111.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8734, kappa: 0.6771, kb_relative_information_score: 15432.7241, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8911, predictive_accuracy: 0.8822, prior_entropy: 0.863, recall: 0.8822, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6704, scimark_benchmark: 1256.5153, usercpu_time_millis: 49.233, usercpu_time_millis_testing: 4.672, usercpu_time_millis_training: 44.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 28671.8181, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3795, scimark_benchmark: 1231.8059, usercpu_time_millis: 5658.987, usercpu_time_millis_testing: 87.653, usercpu_time_millis_training: 5571.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9623, kappa: 0.9076, kb_relative_information_score: 28876.0979, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3796, scimark_benchmark: 1263.28, usercpu_time_millis: 9247.972, usercpu_time_millis_testing: 79.024, usercpu_time_millis_training: 9168.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9242, kappa: 0.8105, kb_relative_information_score: 23509.3961, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9262, predictive_accuracy: 0.926, prior_entropy: 0.863, recall: 0.926, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5146, scimark_benchmark: 1240.2282, usercpu_time_millis: 219.952, usercpu_time_millis_testing: 8.534, usercpu_time_millis_training: 211.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9456, kappa: 0.8657, kb_relative_information_score: 25886.3474, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.206, root_relative_squared_error: 0.456, scimark_benchmark: 1260.9047, usercpu_time_millis: 1542.811, usercpu_time_millis_testing: 63.979, usercpu_time_millis_training: 1478.832,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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