Task
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: 0.9888, f_measure: 0.9532, kappa: 0.8851, kb_relative_information_score: 27391.4477, mean_absolute_error: 0.0883, 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: 0.2165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261, scimark_benchmark: 1250.0265, usercpu_time_millis: 3214.018, usercpu_time_millis_testing: 61.045, usercpu_time_millis_training: 3152.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9664, kappa: 0.9175, kb_relative_information_score: 29422.7187, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3591, scimark_benchmark: 1251.6991, usercpu_time_millis: 10930.806, usercpu_time_millis_testing: 92.628, usercpu_time_millis_training: 10838.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9591, kappa: 0.8992, kb_relative_information_score: 26875.443, mean_absolute_error: 0.1001, 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: 0.2454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.41, scimark_benchmark: 1248.5775, usercpu_time_millis: 471.969, usercpu_time_millis_testing: 28.721, usercpu_time_millis_training: 443.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9576, kappa: 0.8958, kb_relative_information_score: 27842.4795, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4061, scimark_benchmark: 1246.4055, usercpu_time_millis: 1993.989, usercpu_time_millis_testing: 32.238, usercpu_time_millis_training: 1961.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9393, kappa: 0.8496, kb_relative_information_score: 25165.9028, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4763, scimark_benchmark: 1242.9237, usercpu_time_millis: 291.709, usercpu_time_millis_testing: 17.105, usercpu_time_millis_training: 274.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9415, kappa: 0.8548, kb_relative_information_score: 24203.2186, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9422, prior_entropy: 0.863, recall: 0.9422, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4841, scimark_benchmark: 1280.5216, usercpu_time_millis: 1912.511, usercpu_time_millis_testing: 71.83, usercpu_time_millis_training: 1840.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9589, kappa: 0.8992, kb_relative_information_score: 28137.4158, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3985, scimark_benchmark: 1255.8832, usercpu_time_millis: 2004.666, usercpu_time_millis_testing: 39.355, usercpu_time_millis_training: 1965.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9705, kappa: 0.9275, kb_relative_information_score: 30110.0546, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9704, predictive_accuracy: 0.9705, prior_entropy: 0.863, recall: 0.9705, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3324, scimark_benchmark: 1258.2865, usercpu_time_millis: 1521.776, usercpu_time_millis_testing: 33.836, usercpu_time_millis_training: 1487.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9425, kappa: 0.8589, kb_relative_information_score: 27327.4947, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4522, scimark_benchmark: 1276.9327, usercpu_time_millis: 6223.368, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 6222.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9381, kappa: 0.8467, kb_relative_information_score: 25167.4869, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9385, predictive_accuracy: 0.9389, prior_entropy: 0.863, recall: 0.9389, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.478, scimark_benchmark: 1249.236, usercpu_time_millis: 3226.656, usercpu_time_millis_testing: 72.887, usercpu_time_millis_training: 3153.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9552, kappa: 0.89, kb_relative_information_score: 27828.9262, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4138, scimark_benchmark: 1253.4236, usercpu_time_millis: 3093.423, usercpu_time_millis_testing: 35.883, usercpu_time_millis_training: 3057.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9268, kappa: 0.8173, kb_relative_information_score: 22794.3362, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9284, predictive_accuracy: 0.9283, prior_entropy: 0.863, recall: 0.9283, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.5234, scimark_benchmark: 1240.7519, usercpu_time_millis: 1358.106, usercpu_time_millis_testing: 50.632, usercpu_time_millis_training: 1307.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9471, kappa: 0.8701, kb_relative_information_score: 27998.0726, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9472, prior_entropy: 0.863, recall: 0.9472, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4331, scimark_benchmark: 1303.6936, usercpu_time_millis: 2124.694, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 2123.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9569, kappa: 0.8938, kb_relative_information_score: 27289.438, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.4124, scimark_benchmark: 1230.5988, usercpu_time_millis: 1428.75, usercpu_time_millis_testing: 48.653, usercpu_time_millis_training: 1380.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9586, kappa: 0.8978, kb_relative_information_score: 26781.7947, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4127, scimark_benchmark: 1237.5423, usercpu_time_millis: 1346.464, usercpu_time_millis_testing: 77.251, usercpu_time_millis_training: 1269.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9184, kappa: 0.7946, kb_relative_information_score: 18212.017, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9243, predictive_accuracy: 0.9215, prior_entropy: 0.863, recall: 0.9215, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.6059, scimark_benchmark: 1237.1458, usercpu_time_millis: 100.402, usercpu_time_millis_testing: 10.463, usercpu_time_millis_training: 89.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9527, kappa: 0.8837, kb_relative_information_score: 26872.9391, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4298, scimark_benchmark: 1270.9457, usercpu_time_millis: 4005.739, usercpu_time_millis_testing: 88.271, usercpu_time_millis_training: 3917.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9639, kappa: 0.9114, kb_relative_information_score: 29289.3904, mean_absolute_error: 0.065, 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: 0.1593, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3657, scimark_benchmark: 1244.1452, usercpu_time_millis: 99.813, usercpu_time_millis_testing: 4.187, usercpu_time_millis_training: 95.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9617, kappa: 0.9056, kb_relative_information_score: 27436.4307, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3955, scimark_benchmark: 1232.0211, usercpu_time_millis: 149.796, usercpu_time_millis_testing: 12.913, usercpu_time_millis_training: 136.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9407, kappa: 0.8528, kb_relative_information_score: 22431.2798, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9415, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5177, scimark_benchmark: 1271.8475, usercpu_time_millis: 600.7, usercpu_time_millis_testing: 38.335, usercpu_time_millis_training: 562.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9611, kappa: 0.9044, kb_relative_information_score: 28258.8819, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3867, scimark_benchmark: 1264.4783, usercpu_time_millis: 2029.697, usercpu_time_millis_testing: 46.28, usercpu_time_millis_training: 1983.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9598, kappa: 0.9012, kb_relative_information_score: 28299.5423, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3925, scimark_benchmark: 1255.6705, usercpu_time_millis: 3754.469, usercpu_time_millis_testing: 89.014, usercpu_time_millis_training: 3665.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9281, kappa: 0.8208, kb_relative_information_score: 22832.9191, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9293, predictive_accuracy: 0.9294, prior_entropy: 0.863, recall: 0.9294, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.521, scimark_benchmark: 1208.909, usercpu_time_millis: 375.493, usercpu_time_millis_testing: 13.738, usercpu_time_millis_training: 361.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9488, kappa: 0.874, kb_relative_information_score: 26757.8984, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9487, predictive_accuracy: 0.949, prior_entropy: 0.863, recall: 0.949, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.443, scimark_benchmark: 1257.598, usercpu_time_millis: 456.933, usercpu_time_millis_testing: 10.313, usercpu_time_millis_training: 446.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9264, kappa: 0.8161, kb_relative_information_score: 24652.6096, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9284, predictive_accuracy: 0.9281, prior_entropy: 0.863, recall: 0.9281, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.5021, scimark_benchmark: 1224.9608, usercpu_time_millis: 6198.063, usercpu_time_millis_testing: 77.527, usercpu_time_millis_training: 6120.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.961, kappa: 0.9037, kb_relative_information_score: 26429.6179, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.41, scimark_benchmark: 1240.3263, usercpu_time_millis: 1354.485, usercpu_time_millis_testing: 80.356, usercpu_time_millis_training: 1274.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9637, kappa: 0.9109, kb_relative_information_score: 28603.2784, mean_absolute_error: 0.0754, 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: 0.1848, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3745, scimark_benchmark: 1269.9702, usercpu_time_millis: 570.836, usercpu_time_millis_testing: 26.63, usercpu_time_millis_training: 544.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9382, kappa: 0.8467, kb_relative_information_score: 24802.4965, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.939, prior_entropy: 0.863, recall: 0.939, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4827, scimark_benchmark: 1266.2875, usercpu_time_millis: 2083.455, usercpu_time_millis_testing: 71.898, usercpu_time_millis_training: 2011.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9631, kappa: 0.9095, kb_relative_information_score: 28829.5618, mean_absolute_error: 0.0713, 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: 0.1746, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3766, scimark_benchmark: 1247.2772, usercpu_time_millis: 3076.923, usercpu_time_millis_testing: 73.971, usercpu_time_millis_training: 3002.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9334, kappa: 0.8345, kb_relative_information_score: 22746.1898, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9344, predictive_accuracy: 0.9346, prior_entropy: 0.863, recall: 0.9346, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5173, scimark_benchmark: 1237.1005, usercpu_time_millis: 2147.589, usercpu_time_millis_testing: 83.13, usercpu_time_millis_training: 2064.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9557, kappa: 0.8911, kb_relative_information_score: 27428.2194, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4167, scimark_benchmark: 1232.8536, usercpu_time_millis: 1648.478, usercpu_time_millis_testing: 34.945, usercpu_time_millis_training: 1613.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9389, kappa: 0.8487, kb_relative_information_score: 25037.3087, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9394, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4775, scimark_benchmark: 1245.7267, usercpu_time_millis: 2794.174, usercpu_time_millis_testing: 70.988, usercpu_time_millis_training: 2723.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9654, kappa: 0.915, kb_relative_information_score: 29274.7428, mean_absolute_error: 0.0655, 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: 0.1606, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3639, scimark_benchmark: 1245.7896, usercpu_time_millis: 2500.511, usercpu_time_millis_testing: 35.704, usercpu_time_millis_training: 2464.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.959, kappa: 0.8994, kb_relative_information_score: 28453.0607, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3934, scimark_benchmark: 1236.9576, usercpu_time_millis: 4707.503, usercpu_time_millis_testing: 42.686, usercpu_time_millis_training: 4664.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.963, kappa: 0.9092, kb_relative_information_score: 28882.7657, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3757, scimark_benchmark: 1245.5251, usercpu_time_millis: 1418.503, usercpu_time_millis_testing: 34.998, usercpu_time_millis_training: 1383.505,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9409, kappa: 0.8549, kb_relative_information_score: 26758.2666, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9411, prior_entropy: 0.863, recall: 0.9411, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4577, scimark_benchmark: 1275.105, usercpu_time_millis: 15745.213, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 15744.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29688.7564, mean_absolute_error: 0.06, 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: 0.1471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3538, scimark_benchmark: 1246.4072, usercpu_time_millis: 12079.622, usercpu_time_millis_testing: 85.706, usercpu_time_millis_training: 11993.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9498, kappa: 0.8761, kb_relative_information_score: 26141.8584, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.443, scimark_benchmark: 1278.2198, usercpu_time_millis: 2224.278, usercpu_time_millis_testing: 64.427, usercpu_time_millis_training: 2159.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9669, kappa: 0.9188, kb_relative_information_score: 29528.8029, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3559, scimark_benchmark: 1244.363, usercpu_time_millis: 1205.203, usercpu_time_millis_testing: 15.425, usercpu_time_millis_training: 1189.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9541, kappa: 0.8863, kb_relative_information_score: 24998.5923, mean_absolute_error: 0.1265, 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: 0.3101, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4503, scimark_benchmark: 1245.4915, usercpu_time_millis: 1214.828, usercpu_time_millis_testing: 66.896, usercpu_time_millis_training: 1147.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9527, kappa: 0.8835, kb_relative_information_score: 26917.2874, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9526, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4301, scimark_benchmark: 1283.76, usercpu_time_millis: 1090.734, usercpu_time_millis_testing: 30.481, usercpu_time_millis_training: 1060.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9475, kappa: 0.8712, kb_relative_information_score: 28144.5597, mean_absolute_error: 0.0761, 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: 0.1866, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.43, scimark_benchmark: 1267.4398, usercpu_time_millis: 3042.316, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 3041.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9586, kappa: 0.8981, kb_relative_information_score: 27492.181, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.402, scimark_benchmark: 1283.9088, usercpu_time_millis: 1045.95, usercpu_time_millis_testing: 69.715, usercpu_time_millis_training: 976.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9399, kappa: 0.8512, kb_relative_information_score: 25403.5232, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9402, predictive_accuracy: 0.9406, prior_entropy: 0.863, recall: 0.9406, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4722, scimark_benchmark: 1293.7174, usercpu_time_millis: 831.68, usercpu_time_millis_testing: 36.327, usercpu_time_millis_training: 795.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.957, kappa: 0.894, kb_relative_information_score: 27063.427, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.4134, scimark_benchmark: 1204.0652, usercpu_time_millis: 548.425, usercpu_time_millis_testing: 26.599, usercpu_time_millis_training: 521.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.942, kappa: 0.8564, kb_relative_information_score: 25438.6581, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.2826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4656, scimark_benchmark: 1216.3993, usercpu_time_millis: 2418.955, usercpu_time_millis_testing: 87.59, usercpu_time_millis_training: 2331.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 28787.3299, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.369, scimark_benchmark: 1290.7742, usercpu_time_millis: 1623.072, usercpu_time_millis_testing: 53.081, usercpu_time_millis_training: 1569.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9698, kappa: 0.9258, kb_relative_information_score: 30235.833, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9698, prior_entropy: 0.863, recall: 0.9698, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.3368, scimark_benchmark: 1203.3649, usercpu_time_millis: 3232.988, usercpu_time_millis_testing: 31.088, usercpu_time_millis_training: 3201.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9578, kappa: 0.8961, kb_relative_information_score: 27421.5856, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.4087, scimark_benchmark: 1295.2171, usercpu_time_millis: 2568.281, usercpu_time_millis_testing: 76.336, usercpu_time_millis_training: 2491.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9479, kappa: 0.8719, kb_relative_information_score: 27211.1789, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4353, scimark_benchmark: 1285.2045, usercpu_time_millis: 4446.101, usercpu_time_millis_testing: 12.568, usercpu_time_millis_training: 4433.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 29801.8659, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.347, scimark_benchmark: 1227.3676, usercpu_time_millis: 7226.643, usercpu_time_millis_testing: 61.032, usercpu_time_millis_training: 7165.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9652, kappa: 0.9146, kb_relative_information_score: 29003.3846, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3663, scimark_benchmark: 1291.3557, usercpu_time_millis: 2610.396, usercpu_time_millis_testing: 76.302, usercpu_time_millis_training: 2534.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.965, kappa: 0.914, kb_relative_information_score: 28993.4384, mean_absolute_error: 0.0695, 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: 0.1703, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3689, scimark_benchmark: 1273.7834, usercpu_time_millis: 2423.237, usercpu_time_millis_testing: 70.537, usercpu_time_millis_training: 2352.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9606, kappa: 0.903, kb_relative_information_score: 27833.2982, mean_absolute_error: 0.0862, 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: 0.2111, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3923, scimark_benchmark: 1231.7575, usercpu_time_millis: 698.143, usercpu_time_millis_testing: 36.153, usercpu_time_millis_training: 661.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9669, kappa: 0.9186, kb_relative_information_score: 28903.5233, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1286.9423, usercpu_time_millis: 1023.895, usercpu_time_millis_testing: 44.221, usercpu_time_millis_training: 979.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9555, kappa: 0.8901, kb_relative_information_score: 26527.6167, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4244, scimark_benchmark: 1270.4935, usercpu_time_millis: 1453.285, usercpu_time_millis_testing: 83.633, usercpu_time_millis_training: 1369.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 28809.7529, mean_absolute_error: 0.0714, 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: 0.1748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3776, scimark_benchmark: 1276.8871, usercpu_time_millis: 2454.714, usercpu_time_millis_testing: 43.626, usercpu_time_millis_training: 2411.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9455, kappa: 0.8659, kb_relative_information_score: 26771.0916, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9454, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4477, scimark_benchmark: 1216.206, usercpu_time_millis: 11226.926, usercpu_time_millis_testing: 99.448, usercpu_time_millis_training: 11127.478,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9441, kappa: 0.8614, kb_relative_information_score: 23274.2936, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.9449, prior_entropy: 0.863, recall: 0.9449, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4987, scimark_benchmark: 1289.5693, usercpu_time_millis: 988.164, usercpu_time_millis_testing: 43.626, usercpu_time_millis_training: 944.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9536, kappa: 0.8859, kb_relative_information_score: 27206.8743, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4253, scimark_benchmark: 1293.8782, usercpu_time_millis: 1430.545, usercpu_time_millis_testing: 46.816, usercpu_time_millis_training: 1383.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9493, kappa: 0.8752, kb_relative_information_score: 26732.3385, mean_absolute_error: 0.0971, 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: 0.238, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4404, scimark_benchmark: 1232.6872, usercpu_time_millis: 4719.701, usercpu_time_millis_testing: 81.214, usercpu_time_millis_training: 4638.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9337, kappa: 0.8367, kb_relative_information_score: 24399.3978, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9335, predictive_accuracy: 0.934, prior_entropy: 0.863, recall: 0.934, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.5024, scimark_benchmark: 1294.5481, usercpu_time_millis: 5074.659, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 5073.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9688, kappa: 0.9233, kb_relative_information_score: 29630.9367, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3476, scimark_benchmark: 1232.2771, usercpu_time_millis: 368.384, usercpu_time_millis_testing: 11.323, usercpu_time_millis_training: 357.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9575, kappa: 0.8955, kb_relative_information_score: 27812.8644, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4056, scimark_benchmark: 1293.6149, usercpu_time_millis: 295.365, usercpu_time_millis_testing: 7.915, usercpu_time_millis_training: 287.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9632, kappa: 0.9096, kb_relative_information_score: 28797.4709, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3777, scimark_benchmark: 1278.1124, usercpu_time_millis: 2775.062, usercpu_time_millis_testing: 68.571, usercpu_time_millis_training: 2706.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9652, kappa: 0.9144, kb_relative_information_score: 28034.5263, mean_absolute_error: 0.0852, 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: 0.2087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3765, scimark_benchmark: 1270.7686, usercpu_time_millis: 1041.018, usercpu_time_millis_testing: 49.937, usercpu_time_millis_training: 991.081,

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)

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