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: 0.9917, f_measure: 0.957, kappa: 0.8938, kb_relative_information_score: 26280.8449, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.426, scimark_benchmark: 1255.7575, usercpu_time_millis: 2108.739, usercpu_time_millis_testing: 85.929, usercpu_time_millis_training: 2022.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9616, kappa: 0.9057, kb_relative_information_score: 28356.4943, mean_absolute_error: 0.078, 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: 0.191, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.386, scimark_benchmark: 1274.6314, usercpu_time_millis: 1794.337, usercpu_time_millis_testing: 88.692, usercpu_time_millis_training: 1705.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9653, kappa: 0.9148, kb_relative_information_score: 29002.0128, mean_absolute_error: 0.0696, 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: 0.1706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3663, scimark_benchmark: 1267.8585, usercpu_time_millis: 1158.574, usercpu_time_millis_testing: 41.754, usercpu_time_millis_training: 1116.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9374, kappa: 0.8447, kb_relative_information_score: 24783.3725, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4873, scimark_benchmark: 1241.6678, usercpu_time_millis: 1114.845, usercpu_time_millis_testing: 40.011, usercpu_time_millis_training: 1074.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.93, kappa: 0.8255, kb_relative_information_score: 24837.2012, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9314, predictive_accuracy: 0.9314, prior_entropy: 0.863, recall: 0.9314, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4995, scimark_benchmark: 1284.8719, usercpu_time_millis: 2925.341, usercpu_time_millis_testing: 69.18, usercpu_time_millis_training: 2856.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9272, kappa: 0.8183, kb_relative_information_score: 24736.9316, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9292, predictive_accuracy: 0.9289, prior_entropy: 0.863, recall: 0.9289, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.5017, scimark_benchmark: 1266.3233, usercpu_time_millis: 3900.726, usercpu_time_millis_testing: 71.609, usercpu_time_millis_training: 3829.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9382, kappa: 0.8467, kb_relative_information_score: 24596.2518, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9388, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4865, scimark_benchmark: 1255.3748, usercpu_time_millis: 693.778, usercpu_time_millis_testing: 34.456, usercpu_time_millis_training: 659.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.934, kappa: 0.8345, kb_relative_information_score: 19666.5452, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9376, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.257, root_relative_squared_error: 0.5689, scimark_benchmark: 1271.4483, usercpu_time_millis: 290.808, usercpu_time_millis_testing: 21.64, usercpu_time_millis_training: 269.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9368, kappa: 0.8433, kb_relative_information_score: 24888.5448, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9373, predictive_accuracy: 0.9377, prior_entropy: 0.863, recall: 0.9377, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4874, scimark_benchmark: 1274.4252, usercpu_time_millis: 146.339, usercpu_time_millis_testing: 8.027, usercpu_time_millis_training: 138.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9686, kappa: 0.923, kb_relative_information_score: 29771.5353, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3464, scimark_benchmark: 1248.4887, usercpu_time_millis: 2871.425, usercpu_time_millis_testing: 35.224, usercpu_time_millis_training: 2836.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9322, kappa: 0.8321, kb_relative_information_score: 25522.0224, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.933, prior_entropy: 0.863, recall: 0.933, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4906, scimark_benchmark: 1267.3165, usercpu_time_millis: 59.531, usercpu_time_millis_testing: 3.901, usercpu_time_millis_training: 55.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9554, kappa: 0.8896, kb_relative_information_score: 25255.869, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.443, scimark_benchmark: 1272.4318, usercpu_time_millis: 871.986, usercpu_time_millis_testing: 49.138, usercpu_time_millis_training: 822.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9636, kappa: 0.9104, kb_relative_information_score: 28323.9697, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3774, scimark_benchmark: 1275.1509, usercpu_time_millis: 1919.547, usercpu_time_millis_testing: 71.117, usercpu_time_millis_training: 1848.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9428, kappa: 0.8584, kb_relative_information_score: 25061.567, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4727, scimark_benchmark: 1284.8041, usercpu_time_millis: 419.838, usercpu_time_millis_testing: 16.085, usercpu_time_millis_training: 403.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9296, kappa: 0.8246, kb_relative_information_score: 24570.8317, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9309, predictive_accuracy: 0.931, prior_entropy: 0.863, recall: 0.931, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.226, root_relative_squared_error: 0.5004, scimark_benchmark: 1269.5511, usercpu_time_millis: 2623.672, usercpu_time_millis_testing: 33.734, usercpu_time_millis_training: 2589.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.944, kappa: 0.8609, kb_relative_information_score: 22154.5041, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.4036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.515, scimark_benchmark: 1267.8335, usercpu_time_millis: 483.132, usercpu_time_millis_testing: 32.962, usercpu_time_millis_training: 450.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9508, kappa: 0.879, kb_relative_information_score: 26807.7958, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.951, prior_entropy: 0.863, recall: 0.951, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4367, scimark_benchmark: 1274.9967, usercpu_time_millis: 3068.296, usercpu_time_millis_testing: 76.628, usercpu_time_millis_training: 2991.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9654, kappa: 0.9151, kb_relative_information_score: 29181.8925, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3636, scimark_benchmark: 1264.5539, usercpu_time_millis: 644.533, usercpu_time_millis_testing: 15.948, usercpu_time_millis_training: 628.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9489, kappa: 0.874, kb_relative_information_score: 26156.8016, mean_absolute_error: 0.1062, 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: 0.2603, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.446, scimark_benchmark: 1273.3326, usercpu_time_millis: 1184.264, usercpu_time_millis_testing: 41.362, usercpu_time_millis_training: 1142.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9563, kappa: 0.8922, kb_relative_information_score: 27069.5583, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9566, prior_entropy: 0.863, recall: 0.9566, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4138, scimark_benchmark: 1280.6069, usercpu_time_millis: 1355.38, usercpu_time_millis_testing: 93.167, usercpu_time_millis_training: 1262.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9599, kappa: 0.901, kb_relative_information_score: 27083.9683, mean_absolute_error: 0.0975, 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: 0.239, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.4042, scimark_benchmark: 1264.1194, usercpu_time_millis: 1607.904, usercpu_time_millis_testing: 66.192, usercpu_time_millis_training: 1541.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9683, kappa: 0.9222, kb_relative_information_score: 29616.1858, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3468, scimark_benchmark: 1267.6373, usercpu_time_millis: 2679.009, usercpu_time_millis_testing: 65.231, usercpu_time_millis_training: 2613.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9658, kappa: 0.9159, kb_relative_information_score: 29150.19, mean_absolute_error: 0.0679, 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: 0.1663, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3605, scimark_benchmark: 1259.2639, usercpu_time_millis: 3144.713, usercpu_time_millis_testing: 75.103, usercpu_time_millis_training: 3069.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29400.6763, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3578, scimark_benchmark: 1286.8986, usercpu_time_millis: 3445.702, usercpu_time_millis_testing: 59.569, usercpu_time_millis_training: 3386.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.968, kappa: 0.9216, kb_relative_information_score: 29629.1041, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3483, scimark_benchmark: 1256.8749, usercpu_time_millis: 3364.111, usercpu_time_millis_testing: 62.172, usercpu_time_millis_training: 3301.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9646, kappa: 0.913, kb_relative_information_score: 29005.5594, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3679, scimark_benchmark: 1251.7441, usercpu_time_millis: 2552.077, usercpu_time_millis_testing: 73.783, usercpu_time_millis_training: 2478.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9464, kappa: 0.868, kb_relative_information_score: 26386.4285, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9467, prior_entropy: 0.863, recall: 0.9467, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4487, scimark_benchmark: 1284.5548, usercpu_time_millis: 2058.797, usercpu_time_millis_testing: 44.74, usercpu_time_millis_training: 2014.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9454, kappa: 0.8648, kb_relative_information_score: 24212.6384, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9458, predictive_accuracy: 0.946, prior_entropy: 0.863, recall: 0.946, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4798, scimark_benchmark: 1279.7986, usercpu_time_millis: 722.432, usercpu_time_millis_testing: 44.573, usercpu_time_millis_training: 677.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9351, kappa: 0.8387, kb_relative_information_score: 23887.3184, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9362, prior_entropy: 0.863, recall: 0.9362, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.501, scimark_benchmark: 1267.0704, usercpu_time_millis: 1175.552, usercpu_time_millis_testing: 39.345, usercpu_time_millis_training: 1136.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.949, kappa: 0.8748, kb_relative_information_score: 26862.6051, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.949, predictive_accuracy: 0.9492, prior_entropy: 0.863, recall: 0.9492, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4405, scimark_benchmark: 1259.5412, usercpu_time_millis: 6387.189, usercpu_time_millis_testing: 80.784, usercpu_time_millis_training: 6306.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9679, kappa: 0.9213, kb_relative_information_score: 29524.9719, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3508, scimark_benchmark: 1264.8259, usercpu_time_millis: 2256.968, usercpu_time_millis_testing: 43.546, usercpu_time_millis_training: 2213.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9422, kappa: 0.8562, kb_relative_information_score: 21851.9551, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.5227, scimark_benchmark: 1279.9521, usercpu_time_millis: 512.347, usercpu_time_millis_testing: 36.485, usercpu_time_millis_training: 475.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9475, kappa: 0.8707, kb_relative_information_score: 26514.0923, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9474, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4466, scimark_benchmark: 1258.9585, usercpu_time_millis: 5155.738, usercpu_time_millis_testing: 89.563, usercpu_time_millis_training: 5066.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9672, kappa: 0.9194, kb_relative_information_score: 29645.1986, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3505, scimark_benchmark: 1283.4941, usercpu_time_millis: 553.101, usercpu_time_millis_testing: 10.33, usercpu_time_millis_training: 542.771,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9645, kappa: 0.9128, kb_relative_information_score: 28967.3794, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3734, scimark_benchmark: 1264.4591, usercpu_time_millis: 1435.919, usercpu_time_millis_testing: 27.376, usercpu_time_millis_training: 1408.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.95, kappa: 0.8765, kb_relative_information_score: 25536.852, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.451, scimark_benchmark: 1267.2508, usercpu_time_millis: 445.107, usercpu_time_millis_testing: 22.719, usercpu_time_millis_training: 422.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9436, kappa: 0.8599, kb_relative_information_score: 22200.2552, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9444, prior_entropy: 0.863, recall: 0.9444, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.235, root_relative_squared_error: 0.5201, scimark_benchmark: 1257.9153, usercpu_time_millis: 2185.652, usercpu_time_millis_testing: 113.506, usercpu_time_millis_training: 2072.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9582, kappa: 0.8972, kb_relative_information_score: 27760.0425, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4013, scimark_benchmark: 1251.814, usercpu_time_millis: 2106.054, usercpu_time_millis_testing: 80.972, usercpu_time_millis_training: 2025.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9635, kappa: 0.9104, kb_relative_information_score: 28861.6414, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3744, scimark_benchmark: 1245.1694, usercpu_time_millis: 2062.706, usercpu_time_millis_testing: 36.044, usercpu_time_millis_training: 2026.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9665, kappa: 0.9179, kb_relative_information_score: 29488.7453, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.359, scimark_benchmark: 1268.9545, usercpu_time_millis: 1952.018, usercpu_time_millis_testing: 21.697, usercpu_time_millis_training: 1930.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9676, kappa: 0.9206, kb_relative_information_score: 29601.8545, mean_absolute_error: 0.0616, 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: 0.151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3502, scimark_benchmark: 1253.8721, usercpu_time_millis: 2024.025, usercpu_time_millis_testing: 39.562, usercpu_time_millis_training: 1984.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9668, kappa: 0.9184, kb_relative_information_score: 29469.5451, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.354, scimark_benchmark: 1245.9239, usercpu_time_millis: 1984.45, usercpu_time_millis_testing: 31.553, usercpu_time_millis_training: 1952.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9462, kappa: 0.8675, kb_relative_information_score: 26462.4948, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9462, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4491, scimark_benchmark: 1257.0803, usercpu_time_millis: 208.403, usercpu_time_millis_testing: 6.502, usercpu_time_millis_training: 201.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9412, kappa: 0.8546, kb_relative_information_score: 25740.2417, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9414, predictive_accuracy: 0.9418, prior_entropy: 0.863, recall: 0.9418, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.21, root_relative_squared_error: 0.465, scimark_benchmark: 1275.0879, usercpu_time_millis: 2242.285, usercpu_time_millis_testing: 49.606, usercpu_time_millis_training: 2192.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9434, kappa: 0.8594, kb_relative_information_score: 22446.5182, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.5134, scimark_benchmark: 1281.012, usercpu_time_millis: 733.978, usercpu_time_millis_testing: 55.389, usercpu_time_millis_training: 678.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9418, kappa: 0.8561, kb_relative_information_score: 25255.6002, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4718, scimark_benchmark: 1253.9535, usercpu_time_millis: 1613.26, usercpu_time_millis_testing: 38.402, usercpu_time_millis_training: 1574.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9517, kappa: 0.8805, kb_relative_information_score: 24806.2661, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.458, scimark_benchmark: 1242.0243, usercpu_time_millis: 1539.285, usercpu_time_millis_testing: 106.533, usercpu_time_millis_training: 1432.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9534, kappa: 0.8846, kb_relative_information_score: 23678.241, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4747, scimark_benchmark: 1248.6358, usercpu_time_millis: 1529.494, usercpu_time_millis_testing: 107.446, usercpu_time_millis_training: 1422.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.918, kappa: 0.7935, kb_relative_information_score: 18085.7714, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.924, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.6079, scimark_benchmark: 1261.69, usercpu_time_millis: 538.771, usercpu_time_millis_testing: 44.829, usercpu_time_millis_training: 493.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29281.5933, 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: 0.1604, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3637, scimark_benchmark: 1261.5662, usercpu_time_millis: 1398.299, usercpu_time_millis_testing: 22.519, usercpu_time_millis_training: 1375.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9233, kappa: 0.8081, kb_relative_information_score: 22159.5235, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9258, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.5345, scimark_benchmark: 1241.4669, usercpu_time_millis: 1082.921, usercpu_time_millis_testing: 49.887, usercpu_time_millis_training: 1033.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29302.0376, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3532, scimark_benchmark: 1274.2541, usercpu_time_millis: 1475.434, usercpu_time_millis_testing: 40.328, usercpu_time_millis_training: 1435.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9218, kappa: 0.804, kb_relative_information_score: 24130.7354, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9253, predictive_accuracy: 0.9241, prior_entropy: 0.863, recall: 0.9241, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.5106, scimark_benchmark: 1247.5806, usercpu_time_millis: 1095.355, usercpu_time_millis_testing: 30.469, usercpu_time_millis_training: 1064.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9681, kappa: 0.9218, kb_relative_information_score: 29736.8207, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3477, scimark_benchmark: 1254.858, usercpu_time_millis: 394.67, usercpu_time_millis_testing: 12.828, usercpu_time_millis_training: 381.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29449.9, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3532, scimark_benchmark: 1276.6306, usercpu_time_millis: 864.135, usercpu_time_millis_testing: 21.03, usercpu_time_millis_training: 843.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29501.4012, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3533, scimark_benchmark: 1276.9817, usercpu_time_millis: 2756.214, usercpu_time_millis_testing: 51.76, usercpu_time_millis_training: 2704.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9471, kappa: 0.8702, kb_relative_information_score: 28006.4483, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9471, prior_entropy: 0.863, recall: 0.9471, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.437, scimark_benchmark: 1213.6989, usercpu_time_millis: 17064.896, usercpu_time_millis_testing: 140.657, usercpu_time_millis_training: 16924.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9385, kappa: 0.8478, kb_relative_information_score: 25723.7437, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4741, scimark_benchmark: 1272.0622, usercpu_time_millis: 2605.997, usercpu_time_millis_testing: 68.837, usercpu_time_millis_training: 2537.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9668, kappa: 0.9186, kb_relative_information_score: 29601.0898, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3528, scimark_benchmark: 1270.4974, usercpu_time_millis: 619.894, usercpu_time_millis_testing: 10.63, usercpu_time_millis_training: 609.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9325, kappa: 0.8323, kb_relative_information_score: 24740.5305, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9333, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.495, scimark_benchmark: 1267.7175, usercpu_time_millis: 1167.925, usercpu_time_millis_testing: 39.873, usercpu_time_millis_training: 1128.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9376, kappa: 0.8458, kb_relative_information_score: 25745.5161, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.2645, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4753, scimark_benchmark: 1272.5874, usercpu_time_millis: 2862.746, usercpu_time_millis_testing: 29.082, usercpu_time_millis_training: 2833.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9599, kappa: 0.9013, kb_relative_information_score: 27457.1973, mean_absolute_error: 0.0917, 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: 0.2247, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1250.5941, usercpu_time_millis: 2125.686, usercpu_time_millis_testing: 98.22, usercpu_time_millis_training: 2027.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.944, kappa: 0.8611, kb_relative_information_score: 23463.2733, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4947, scimark_benchmark: 1270.6119, usercpu_time_millis: 845.701, usercpu_time_millis_testing: 53.668, usercpu_time_millis_training: 792.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9627, kappa: 0.9083, kb_relative_information_score: 28338.4803, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3816, scimark_benchmark: 1249.8871, usercpu_time_millis: 157.268, usercpu_time_millis_testing: 8.848, usercpu_time_millis_training: 148.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8718, kappa: 0.6871, kb_relative_information_score: 17579.7915, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8724, predictive_accuracy: 0.8713, prior_entropy: 0.863, recall: 0.8713, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6617, scimark_benchmark: 1262.8233, usercpu_time_millis: 71.826, usercpu_time_millis_testing: 3.34, usercpu_time_millis_training: 68.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.966, kappa: 0.9165, kb_relative_information_score: 29309.1952, mean_absolute_error: 0.0653, 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: 0.1599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3614, scimark_benchmark: 1270.9365, usercpu_time_millis: 5410.068, usercpu_time_millis_testing: 83.631, usercpu_time_millis_training: 5326.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.938, kappa: 0.8466, kb_relative_information_score: 25799.3443, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.4735, scimark_benchmark: 1249.7041, usercpu_time_millis: 4014.698, usercpu_time_millis_testing: 72.498, usercpu_time_millis_training: 3942.2,

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