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: 0.9817, f_measure: 0.9327, kappa: 0.8327, kb_relative_information_score: 22092.3051, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9336, predictive_accuracy: 0.9338, prior_entropy: 0.863, recall: 0.9338, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.5321, scimark_benchmark: 1294.5981, usercpu_time_millis: 64.318, usercpu_time_millis_testing: 3.888, usercpu_time_millis_training: 60.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9382, kappa: 0.847, kb_relative_information_score: 25280.621, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9385, predictive_accuracy: 0.939, prior_entropy: 0.863, recall: 0.939, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4778, scimark_benchmark: 1285.8861, usercpu_time_millis: 2627.178, usercpu_time_millis_testing: 77.312, usercpu_time_millis_training: 2549.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9577, kappa: 0.8961, kb_relative_information_score: 28036.1002, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4031, scimark_benchmark: 1255.3135, usercpu_time_millis: 2437.644, usercpu_time_millis_testing: 69.201, usercpu_time_millis_training: 2368.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9676, kappa: 0.9204, kb_relative_information_score: 29338.7305, mean_absolute_error: 0.0658, 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: 0.1613, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3519, scimark_benchmark: 1247.8671, usercpu_time_millis: 433.416, usercpu_time_millis_testing: 15.497, usercpu_time_millis_training: 417.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9446, kappa: 0.8633, kb_relative_information_score: 26243.2167, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4566, scimark_benchmark: 1242.9303, usercpu_time_millis: 1786.676, usercpu_time_millis_testing: 71.982, usercpu_time_millis_training: 1714.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9727, kappa: 0.9331, kb_relative_information_score: 31263.4726, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9727, predictive_accuracy: 0.9727, prior_entropy: 0.863, recall: 0.9727, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.144, root_relative_squared_error: 0.3187, scimark_benchmark: 1294.0282, usercpu_time_millis: 9684.957, usercpu_time_millis_testing: 24.47, usercpu_time_millis_training: 9660.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9517, kappa: 0.8811, kb_relative_information_score: 26764.8294, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9517, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4344, scimark_benchmark: 1251.1324, usercpu_time_millis: 4384.684, usercpu_time_millis_testing: 88.619, usercpu_time_millis_training: 4296.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9425, kappa: 0.857, kb_relative_information_score: 22374.0862, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5159, scimark_benchmark: 1276.0437, usercpu_time_millis: 249.192, usercpu_time_millis_testing: 12.352, usercpu_time_millis_training: 236.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9517, kappa: 0.8808, kb_relative_information_score: 26068.1701, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4396, scimark_benchmark: 1294.1582, usercpu_time_millis: 830.45, usercpu_time_millis_testing: 38.072, usercpu_time_millis_training: 792.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9537, kappa: 0.8861, kb_relative_information_score: 27115.88, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4243, scimark_benchmark: 1288.994, usercpu_time_millis: 1995.136, usercpu_time_millis_testing: 68.836, usercpu_time_millis_training: 1926.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9397, kappa: 0.851, kb_relative_information_score: 25699.2009, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9399, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4705, scimark_benchmark: 1277.2211, usercpu_time_millis: 3371.6, usercpu_time_millis_testing: 81.462, usercpu_time_millis_training: 3290.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.966, kappa: 0.9164, kb_relative_information_score: 29269.5903, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3621, scimark_benchmark: 1274.6071, usercpu_time_millis: 1945.042, usercpu_time_millis_testing: 31.662, usercpu_time_millis_training: 1913.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9605, kappa: 0.9031, kb_relative_information_score: 28489.3221, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3884, scimark_benchmark: 1295.615, usercpu_time_millis: 4801.079, usercpu_time_millis_testing: 67.887, usercpu_time_millis_training: 4733.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9502, kappa: 0.8771, kb_relative_information_score: 26407.1696, mean_absolute_error: 0.1028, 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: 0.2518, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4407, scimark_benchmark: 1243.9942, usercpu_time_millis: 3333.172, usercpu_time_millis_testing: 85.001, usercpu_time_millis_training: 3248.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 28900.1796, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3743, scimark_benchmark: 1262.5078, usercpu_time_millis: 2305.447, usercpu_time_millis_testing: 57.861, usercpu_time_millis_training: 2247.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9673, kappa: 0.9196, kb_relative_information_score: 29428.8711, mean_absolute_error: 0.0641, 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: 0.1571, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3535, scimark_benchmark: 1245.8577, usercpu_time_millis: 2124.081, usercpu_time_millis_testing: 61.276, usercpu_time_millis_training: 2062.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9473, kappa: 0.8707, kb_relative_information_score: 27929.2899, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9472, predictive_accuracy: 0.9474, prior_entropy: 0.863, recall: 0.9474, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4352, scimark_benchmark: 1278.6446, usercpu_time_millis: 9689.994, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 9689.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.959, kappa: 0.8992, kb_relative_information_score: 27985.2622, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3988, scimark_benchmark: 1250.3162, usercpu_time_millis: 1080.919, usercpu_time_millis_testing: 51.826, usercpu_time_millis_training: 1029.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9478, kappa: 0.8711, kb_relative_information_score: 25892.2733, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9483, prior_entropy: 0.863, recall: 0.9483, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.45, scimark_benchmark: 1275.2408, usercpu_time_millis: 1145.524, usercpu_time_millis_testing: 69.642, usercpu_time_millis_training: 1075.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9606, kappa: 0.9027, kb_relative_information_score: 26335.6396, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4122, scimark_benchmark: 1246.444, usercpu_time_millis: 746.443, usercpu_time_millis_testing: 40.811, usercpu_time_millis_training: 705.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9626, kappa: 0.9081, kb_relative_information_score: 28763.411, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3789, scimark_benchmark: 1259.3564, usercpu_time_millis: 3907.77, usercpu_time_millis_testing: 79.228, usercpu_time_millis_training: 3828.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9601, kappa: 0.9019, kb_relative_information_score: 28000.8622, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.395, scimark_benchmark: 1257.4387, usercpu_time_millis: 607.803, usercpu_time_millis_testing: 24.162, usercpu_time_millis_training: 583.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9582, kappa: 0.8974, kb_relative_information_score: 28228.0641, mean_absolute_error: 0.0784, 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: 0.1922, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.399, scimark_benchmark: 1241.7144, usercpu_time_millis: 970.185, usercpu_time_millis_testing: 28.856, usercpu_time_millis_training: 941.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9651, kappa: 0.9142, kb_relative_information_score: 29099.7445, mean_absolute_error: 0.0679, 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: 0.1663, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3677, scimark_benchmark: 1244.7175, usercpu_time_millis: 3141.799, usercpu_time_millis_testing: 63.006, usercpu_time_millis_training: 3078.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9523, kappa: 0.8829, kb_relative_information_score: 27114.9278, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9523, predictive_accuracy: 0.9525, prior_entropy: 0.863, recall: 0.9525, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4305, scimark_benchmark: 1245.2015, usercpu_time_millis: 1570.416, usercpu_time_millis_testing: 41.173, usercpu_time_millis_training: 1529.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9465, kappa: 0.8683, kb_relative_information_score: 26496.8858, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9468, prior_entropy: 0.863, recall: 0.9468, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4479, scimark_benchmark: 1258.9248, usercpu_time_millis: 1616.624, usercpu_time_millis_testing: 25.706, usercpu_time_millis_training: 1590.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9342, kappa: 0.8367, kb_relative_information_score: 25319.6418, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4882, scimark_benchmark: 1251.3888, usercpu_time_millis: 2276.998, usercpu_time_millis_testing: 62.655, usercpu_time_millis_training: 2214.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9374, kappa: 0.845, kb_relative_information_score: 25325.1631, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4804, scimark_benchmark: 1248.0505, usercpu_time_millis: 4144.143, usercpu_time_millis_testing: 74.229, usercpu_time_millis_training: 4069.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9652, kappa: 0.9146, kb_relative_information_score: 29078.4395, mean_absolute_error: 0.0683, 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: 0.1674, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3673, scimark_benchmark: 1255.5186, usercpu_time_millis: 3763.093, usercpu_time_millis_testing: 90.593, usercpu_time_millis_training: 3672.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9694, kappa: 0.9248, kb_relative_information_score: 29917.4708, mean_absolute_error: 0.0574, 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: 0.1407, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.3421, scimark_benchmark: 1249.5369, usercpu_time_millis: 3325.207, usercpu_time_millis_testing: 36.034, usercpu_time_millis_training: 3289.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.942, kappa: 0.856, kb_relative_information_score: 23549.5079, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9426, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4958, scimark_benchmark: 1238.3634, usercpu_time_millis: 515.43, usercpu_time_millis_testing: 24.323, usercpu_time_millis_training: 491.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9592, kappa: 0.8997, kb_relative_information_score: 27952.1263, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3978, scimark_benchmark: 1257.5918, usercpu_time_millis: 1024.919, usercpu_time_millis_testing: 54.389, usercpu_time_millis_training: 970.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9504, kappa: 0.8777, kb_relative_information_score: 26699.3857, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4377, scimark_benchmark: 1225.1057, usercpu_time_millis: 1620.879, usercpu_time_millis_testing: 43.523, usercpu_time_millis_training: 1577.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 29713.8855, mean_absolute_error: 0.06, 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: 0.1469, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.349, scimark_benchmark: 1252.3476, usercpu_time_millis: 2792.699, usercpu_time_millis_testing: 37.435, usercpu_time_millis_training: 2755.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.97, kappa: 0.9263, kb_relative_information_score: 30228.5566, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9699, predictive_accuracy: 0.97, prior_entropy: 0.863, recall: 0.97, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3343, scimark_benchmark: 1258.1697, usercpu_time_millis: 2559.317, usercpu_time_millis_testing: 30.415, usercpu_time_millis_training: 2528.902,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.959, kappa: 0.8992, kb_relative_information_score: 28681.915, mean_absolute_error: 0.0718, 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: 0.1759, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3927, scimark_benchmark: 1250.7975, usercpu_time_millis: 66.833, usercpu_time_millis_testing: 4.471, usercpu_time_millis_training: 62.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9244, kappa: 0.8111, kb_relative_information_score: 22506.5151, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9266, predictive_accuracy: 0.9262, prior_entropy: 0.863, recall: 0.9262, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.53, scimark_benchmark: 1247.6909, usercpu_time_millis: 190.442, usercpu_time_millis_testing: 8.412, usercpu_time_millis_training: 182.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9315, kappa: 0.8311, kb_relative_information_score: 25442.684, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9313, predictive_accuracy: 0.9318, prior_entropy: 0.863, recall: 0.9318, relative_absolute_error: 0.2731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4889, scimark_benchmark: 1254.6931, usercpu_time_millis: 4032.483, usercpu_time_millis_testing: 14.716, usercpu_time_millis_training: 4017.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 27485.2509, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4209, scimark_benchmark: 1237.3531, usercpu_time_millis: 241.52, usercpu_time_millis_testing: 8.58, usercpu_time_millis_training: 232.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9538, kappa: 0.8865, kb_relative_information_score: 27352.6425, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4244, scimark_benchmark: 1242.5842, usercpu_time_millis: 4620.294, usercpu_time_millis_testing: 70.454, usercpu_time_millis_training: 4549.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9686, kappa: 0.9228, kb_relative_information_score: 29788.8317, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.345, scimark_benchmark: 1258.1342, usercpu_time_millis: 646.816, usercpu_time_millis_testing: 10.991, usercpu_time_millis_training: 635.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9428, kappa: 0.8583, kb_relative_information_score: 23843.2591, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4893, scimark_benchmark: 1250.2394, usercpu_time_millis: 1083.841, usercpu_time_millis_testing: 60.767, usercpu_time_millis_training: 1023.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9612, kappa: 0.9047, kb_relative_information_score: 28186.1169, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3871, scimark_benchmark: 1251.8578, usercpu_time_millis: 1062.158, usercpu_time_millis_testing: 47.214, usercpu_time_millis_training: 1014.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9496, kappa: 0.8759, kb_relative_information_score: 26775.8318, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4392, scimark_benchmark: 1254.7006, usercpu_time_millis: 5628.564, usercpu_time_millis_testing: 94.174, usercpu_time_millis_training: 5534.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29443.0464, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3579, scimark_benchmark: 1255.616, usercpu_time_millis: 1476.888, usercpu_time_millis_testing: 24.744, usercpu_time_millis_training: 1452.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29332.9322, mean_absolute_error: 0.0657, 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: 0.1609, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3543, scimark_benchmark: 1301.3304, usercpu_time_millis: 792.26, usercpu_time_millis_testing: 19.867, usercpu_time_millis_training: 772.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9214, kappa: 0.8021, kb_relative_information_score: 18297.8892, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9271, predictive_accuracy: 0.9242, prior_entropy: 0.863, recall: 0.9242, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.6026, scimark_benchmark: 1268.0441, usercpu_time_millis: 741.978, usercpu_time_millis_testing: 60.204, usercpu_time_millis_training: 681.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9612, kappa: 0.9047, kb_relative_information_score: 28126.9878, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3886, scimark_benchmark: 1239.2839, usercpu_time_millis: 3339.991, usercpu_time_millis_testing: 88.528, usercpu_time_millis_training: 3251.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9289, kappa: 0.8231, kb_relative_information_score: 20656.1405, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.93, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.558, scimark_benchmark: 1245.2825, usercpu_time_millis: 1165.936, usercpu_time_millis_testing: 56.582, usercpu_time_millis_training: 1109.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9687, kappa: 0.9233, kb_relative_information_score: 29774.9378, mean_absolute_error: 0.0595, 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: 0.1457, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3442, scimark_benchmark: 1243.8789, usercpu_time_millis: 3103.905, usercpu_time_millis_testing: 57.229, usercpu_time_millis_training: 3046.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 28406.2465, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3787, scimark_benchmark: 1235.9773, usercpu_time_millis: 1452.235, usercpu_time_millis_testing: 59.316, usercpu_time_millis_training: 1392.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9699, kappa: 0.9261, kb_relative_information_score: 30108.0004, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3358, scimark_benchmark: 1256.7823, usercpu_time_millis: 475.165, usercpu_time_millis_testing: 10.996, usercpu_time_millis_training: 464.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9447, kappa: 0.8638, kb_relative_information_score: 26396.0471, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4522, scimark_benchmark: 1240.535, usercpu_time_millis: 1232.992, usercpu_time_millis_testing: 24.35, usercpu_time_millis_training: 1208.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9585, kappa: 0.8978, kb_relative_information_score: 27503.6635, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.404, scimark_benchmark: 1244.1666, usercpu_time_millis: 1189.608, usercpu_time_millis_testing: 43.829, usercpu_time_millis_training: 1145.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9506, kappa: 0.8783, kb_relative_information_score: 26534.9065, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9507, predictive_accuracy: 0.951, prior_entropy: 0.863, recall: 0.951, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4374, scimark_benchmark: 1244.4657, usercpu_time_millis: 3060.363, usercpu_time_millis_testing: 95.212, usercpu_time_millis_training: 2965.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 29470.5107, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3558, scimark_benchmark: 1256.9331, usercpu_time_millis: 1619.264, usercpu_time_millis_testing: 27.315, usercpu_time_millis_training: 1591.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9557, kappa: 0.8913, kb_relative_information_score: 27701.758, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.413, scimark_benchmark: 1272.1777, usercpu_time_millis: 2996.057, usercpu_time_millis_testing: 51.467, usercpu_time_millis_training: 2944.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9549, kappa: 0.889, kb_relative_information_score: 27276.0139, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4209, scimark_benchmark: 1241.4229, usercpu_time_millis: 3632.407, usercpu_time_millis_testing: 80.49, usercpu_time_millis_training: 3551.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9318, kappa: 0.832, kb_relative_information_score: 24949.2859, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9317, predictive_accuracy: 0.9322, prior_entropy: 0.863, recall: 0.9322, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5014, scimark_benchmark: 1255.9344, usercpu_time_millis: 2836.197, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 2835.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9662, kappa: 0.9169, kb_relative_information_score: 29052.2128, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3602, scimark_benchmark: 1260.6205, usercpu_time_millis: 1187.346, usercpu_time_millis_testing: 41.818, usercpu_time_millis_training: 1145.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9405, kappa: 0.8531, kb_relative_information_score: 25942.2019, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9411, prior_entropy: 0.863, recall: 0.9411, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4655, scimark_benchmark: 1257.48, usercpu_time_millis: 5190.55, usercpu_time_millis_testing: 76.933, usercpu_time_millis_training: 5113.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9202, kappa: 0.7997, kb_relative_information_score: 22546.0973, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9241, predictive_accuracy: 0.9226, prior_entropy: 0.863, recall: 0.9226, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.5322, scimark_benchmark: 1235.6213, usercpu_time_millis: 570.117, usercpu_time_millis_testing: 29.3, usercpu_time_millis_training: 540.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 28713.5178, mean_absolute_error: 0.0722, 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: 0.1769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3868, scimark_benchmark: 1305.307, usercpu_time_millis: 2709.654, usercpu_time_millis_testing: 28.087, usercpu_time_millis_training: 2681.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9535, kappa: 0.8852, kb_relative_information_score: 26121.3268, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4345, scimark_benchmark: 1257.4823, usercpu_time_millis: 895.438, usercpu_time_millis_testing: 50.205, usercpu_time_millis_training: 845.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8915, kappa: 0.7264, kb_relative_information_score: 13100.392, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8969, predictive_accuracy: 0.8958, prior_entropy: 0.863, recall: 0.8958, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7158, scimark_benchmark: 1225.6002, usercpu_time_millis: 344.508, usercpu_time_millis_testing: 25.744, usercpu_time_millis_training: 318.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9262, kappa: 0.8155, kb_relative_information_score: 18464.3306, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9286, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.6016, scimark_benchmark: 1248.0556, usercpu_time_millis: 342.886, usercpu_time_millis_testing: 29.71, usercpu_time_millis_training: 313.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9236, kappa: 0.8089, kb_relative_information_score: 22136.6311, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.9255, prior_entropy: 0.863, recall: 0.9255, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.536, scimark_benchmark: 1208.5207, usercpu_time_millis: 1364.223, usercpu_time_millis_testing: 56.644, usercpu_time_millis_training: 1307.579,

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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