OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32444 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9518, kappa: 0.8814, kb_relative_information_score: 26896.1838, mean_absolute_error: 0.0956, 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: 0.2342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4331, scimark_benchmark: 1794.1486, usercpu_time_millis: 212.54, usercpu_time_millis_testing: 6.048, usercpu_time_millis_training: 206.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8722, kappa: 0.6879, kb_relative_information_score: 17853.4877, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8727, predictive_accuracy: 0.8717, prior_entropy: 0.863, recall: 0.8717, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.6556, scimark_benchmark: 1776.4937, usercpu_time_millis: 400.105, usercpu_time_millis_testing: 5.64, usercpu_time_millis_training: 394.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9349, kappa: 0.8384, kb_relative_information_score: 25377.0396, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.2736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4915, scimark_benchmark: 1759.6101, usercpu_time_millis: 1714.195, usercpu_time_millis_testing: 8.753, usercpu_time_millis_training: 1705.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 29383.5938, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3629, scimark_benchmark: 1785.8029, usercpu_time_millis: 1781.249, usercpu_time_millis_testing: 9.801, usercpu_time_millis_training: 1771.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9226, kappa: 0.8062, kb_relative_information_score: 24754.8232, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9247, prior_entropy: 0.863, recall: 0.9247, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.5127, scimark_benchmark: 1805.6924, usercpu_time_millis: 2694.142, usercpu_time_millis_testing: 11.692, usercpu_time_millis_training: 2682.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.7706, kappa: 0.41, kb_relative_information_score: 10305.9795, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8422, predictive_accuracy: 0.8069, prior_entropy: 0.863, recall: 0.8069, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7789, scimark_benchmark: 1794.3316, usercpu_time_millis: 41.779, usercpu_time_millis_testing: 5.277, usercpu_time_millis_training: 36.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9541, kappa: 0.8867, kb_relative_information_score: 26191.7385, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4324, scimark_benchmark: 1800.6422, usercpu_time_millis: 319.468, usercpu_time_millis_testing: 11.866, usercpu_time_millis_training: 307.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9592, kappa: 0.9, kb_relative_information_score: 28418.6566, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3969, scimark_benchmark: 1889.0339, usercpu_time_millis: 809.49, usercpu_time_millis_testing: 4.169, usercpu_time_millis_training: 805.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9624, kappa: 0.9078, kb_relative_information_score: 29002.573, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3799, scimark_benchmark: 1743.2321, usercpu_time_millis: 1230.608, usercpu_time_millis_testing: 5.689, usercpu_time_millis_training: 1224.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.96, kappa: 0.902, kb_relative_information_score: 28678.0911, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3912, scimark_benchmark: 1826.3384, usercpu_time_millis: 1629.635, usercpu_time_millis_testing: 4.856, usercpu_time_millis_training: 1624.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8633, kappa: 0.6695, kb_relative_information_score: 17389.8699, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8661, predictive_accuracy: 0.8617, prior_entropy: 0.863, recall: 0.8617, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6892, scimark_benchmark: 1733.1863, usercpu_time_millis: 1052.589, usercpu_time_millis_testing: 5.669, usercpu_time_millis_training: 1046.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9489, kappa: 0.8746, kb_relative_information_score: 27218.6439, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.949, prior_entropy: 0.863, recall: 0.949, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4408, scimark_benchmark: 1734.5529, usercpu_time_millis: 1590.111, usercpu_time_millis_testing: 6.268, usercpu_time_millis_training: 1583.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9376, kappa: 0.8459, kb_relative_information_score: 26115.568, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4769, scimark_benchmark: 1724.1017, usercpu_time_millis: 2282.923, usercpu_time_millis_testing: 8.245, usercpu_time_millis_training: 2274.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8679, kappa: 0.6783, kb_relative_information_score: 17380.8554, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8689, predictive_accuracy: 0.8671, prior_entropy: 0.863, recall: 0.8671, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6829, scimark_benchmark: 1833.1413, usercpu_time_millis: 733.815, usercpu_time_millis_testing: 9.568, usercpu_time_millis_training: 724.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 30037.6889, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.355, scimark_benchmark: 1835.7111, usercpu_time_millis: 1075.401, usercpu_time_millis_testing: 2.687, usercpu_time_millis_training: 1072.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 27664.0275, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4226, scimark_benchmark: 1849.3014, usercpu_time_millis: 1014.159, usercpu_time_millis_testing: 6.606, usercpu_time_millis_training: 1007.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9666, kappa: 0.918, kb_relative_information_score: 29432.8965, mean_absolute_error: 0.0635, 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: 0.1555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3608, scimark_benchmark: 1847.3406, usercpu_time_millis: 798.166, usercpu_time_millis_testing: 4.047, usercpu_time_millis_training: 794.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9423, kappa: 0.8576, kb_relative_information_score: 26264.6297, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4659, scimark_benchmark: 1884.2851, usercpu_time_millis: 813.214, usercpu_time_millis_testing: 4.385, usercpu_time_millis_training: 808.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9163, kappa: 0.7895, kb_relative_information_score: 24504.3131, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9213, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.235, root_relative_squared_error: 0.5202, scimark_benchmark: 1734.7321, usercpu_time_millis: 3452.668, usercpu_time_millis_testing: 11.946, usercpu_time_millis_training: 3440.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8739, kappa: 0.6922, kb_relative_information_score: 18167.6074, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8745, predictive_accuracy: 0.8735, prior_entropy: 0.863, recall: 0.8735, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.6448, scimark_benchmark: 1830.0332, usercpu_time_millis: 477.686, usercpu_time_millis_testing: 7.458, usercpu_time_millis_training: 470.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9426, kappa: 0.8583, kb_relative_information_score: 25974.7494, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4605, scimark_benchmark: 1753.2651, usercpu_time_millis: 19.989, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 19.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9492, kappa: 0.8744, kb_relative_information_score: 25297.8399, mean_absolute_error: 0.1199, 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: 0.2939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4554, scimark_benchmark: 1798.9509, usercpu_time_millis: 65.782, usercpu_time_millis_testing: 4.236, usercpu_time_millis_training: 61.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8643, kappa: 0.6703, kb_relative_information_score: 17472.874, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8659, predictive_accuracy: 0.8632, prior_entropy: 0.863, recall: 0.8632, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6843, scimark_benchmark: 1829.178, usercpu_time_millis: 415.409, usercpu_time_millis_testing: 7.92, usercpu_time_millis_training: 407.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8639, kappa: 0.671, kb_relative_information_score: 17376.2366, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8667, predictive_accuracy: 0.8623, prior_entropy: 0.863, recall: 0.8623, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6889, scimark_benchmark: 1865.2211, usercpu_time_millis: 725.823, usercpu_time_millis_testing: 4.244, usercpu_time_millis_training: 721.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9156, kappa: 0.7877, kb_relative_information_score: 24381.8216, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9211, predictive_accuracy: 0.9187, prior_entropy: 0.863, recall: 0.9187, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.236, root_relative_squared_error: 0.5225, scimark_benchmark: 1729.728, usercpu_time_millis: 528.329, usercpu_time_millis_testing: 7.231, usercpu_time_millis_training: 521.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9444, kappa: 0.863, kb_relative_information_score: 26625.1572, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4596, scimark_benchmark: 1732.5611, usercpu_time_millis: 3159.05, usercpu_time_millis_testing: 8.992, usercpu_time_millis_training: 3150.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.8707, kappa: 0.6846, kb_relative_information_score: 17540.949, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8714, predictive_accuracy: 0.8702, prior_entropy: 0.863, recall: 0.8702, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6674, scimark_benchmark: 1730.387, usercpu_time_millis: 328.549, usercpu_time_millis_testing: 4.605, usercpu_time_millis_training: 323.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8641, kappa: 0.6663, kb_relative_information_score: 15730.0302, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8638, predictive_accuracy: 0.8643, prior_entropy: 0.863, recall: 0.8643, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6915, scimark_benchmark: 1736.4936, usercpu_time_millis: 190.888, usercpu_time_millis_testing: 6.347, usercpu_time_millis_training: 184.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 29121.6469, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3963, scimark_benchmark: 1732.8983, usercpu_time_millis: 13.335, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 12.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.6466, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1733.3606, usercpu_time_millis: 48.435, usercpu_time_millis_testing: 7.661, usercpu_time_millis_training: 40.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8708, kappa: 0.6848, kb_relative_information_score: 17548.5173, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8715, predictive_accuracy: 0.8703, prior_entropy: 0.863, recall: 0.8703, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6663, scimark_benchmark: 1729.728, usercpu_time_millis: 130.569, usercpu_time_millis_testing: 1.615, usercpu_time_millis_training: 128.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.968, kappa: 0.9214, kb_relative_information_score: 29776.2355, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.35, scimark_benchmark: 1733.9326, usercpu_time_millis: 450.121, usercpu_time_millis_testing: 3.733, usercpu_time_millis_training: 446.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9138, kappa: 0.7833, kb_relative_information_score: 24060.6672, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9184, predictive_accuracy: 0.9167, prior_entropy: 0.863, recall: 0.9167, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.241, root_relative_squared_error: 0.5335, scimark_benchmark: 1716.9359, usercpu_time_millis: 993.891, usercpu_time_millis_testing: 4.882, usercpu_time_millis_training: 989.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.7478, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1724.6756, usercpu_time_millis: 23.895, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 22.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8576, kappa: 0.6537, kb_relative_information_score: 15532.4334, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.859, predictive_accuracy: 0.8566, prior_entropy: 0.863, recall: 0.8566, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7382, scimark_benchmark: 1737.4645, usercpu_time_millis: 109.741, usercpu_time_millis_testing: 2.198, usercpu_time_millis_training: 107.543,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9151, kappa: 0.7864, kb_relative_information_score: 24496.9318, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.9181, prior_entropy: 0.863, recall: 0.9181, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.5242, scimark_benchmark: 1473.7533, usercpu_time_millis: 3611.52, usercpu_time_millis_testing: 19.72, usercpu_time_millis_training: 3591.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.6606, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 26.272, usercpu_time_millis_testing: 2.515, usercpu_time_millis_training: 23.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -6.588, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1846.2342, usercpu_time_millis: 25.934, usercpu_time_millis_testing: 4.087, usercpu_time_millis_training: 21.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.1748, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1839.1443, usercpu_time_millis: 39.27, usercpu_time_millis_testing: 5.106, usercpu_time_millis_training: 34.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.923, kappa: 0.8072, kb_relative_information_score: 24630.8504, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9262, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5081, scimark_benchmark: 1845.181, usercpu_time_millis: 98.676, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 97.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.856, kappa: 0.6469, kb_relative_information_score: 15135.1573, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8559, predictive_accuracy: 0.8562, prior_entropy: 0.863, recall: 0.8562, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7402, scimark_benchmark: 1726.2445, usercpu_time_millis: 12.64, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 12.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.7229, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1841.2811, usercpu_time_millis: 53.852, usercpu_time_millis_testing: 7.749, usercpu_time_millis_training: 46.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8678, kappa: 0.6775, kb_relative_information_score: 17095.6884, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8685, predictive_accuracy: 0.8673, prior_entropy: 0.863, recall: 0.8673, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6791, scimark_benchmark: 1724.5531, usercpu_time_millis: 209.804, usercpu_time_millis_testing: 5.827, usercpu_time_millis_training: 203.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9365, kappa: 0.8428, kb_relative_information_score: 25648.0517, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9367, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4825, scimark_benchmark: 1727.4447, usercpu_time_millis: 227.745, usercpu_time_millis_testing: 1.794, usercpu_time_millis_training: 225.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.959, kappa: 0.8992, kb_relative_information_score: 28245.1925, mean_absolute_error: 0.0783, 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: 0.1919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3969, scimark_benchmark: 1841.2811, usercpu_time_millis: 399.774, usercpu_time_millis_testing: 10.175, usercpu_time_millis_training: 389.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9541, kappa: 0.8873, kb_relative_information_score: 27667.415, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4174, scimark_benchmark: 1729.728, usercpu_time_millis: 434.61, usercpu_time_millis_testing: 12.046, usercpu_time_millis_training: 422.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29526.4626, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3549, scimark_benchmark: 1736.6052, usercpu_time_millis: 500.943, usercpu_time_millis_testing: 5.624, usercpu_time_millis_training: 495.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8636, kappa: 0.6667, kb_relative_information_score: 16584.1038, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.864, predictive_accuracy: 0.8633, prior_entropy: 0.863, recall: 0.8633, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6967, scimark_benchmark: 1721.4034, usercpu_time_millis: 529.611, usercpu_time_millis_testing: 9.57, usercpu_time_millis_training: 520.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9421, kappa: 0.8574, kb_relative_information_score: 26287.9206, mean_absolute_error: 0.1005, 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: 0.2464, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4638, scimark_benchmark: 1858.6775, usercpu_time_millis: 1631.191, usercpu_time_millis_testing: 11.796, usercpu_time_millis_training: 1619.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9542, kappa: 0.8878, kb_relative_information_score: 27673.5853, mean_absolute_error: 0.0843, 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: 0.2067, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4204, scimark_benchmark: 1855.4813, usercpu_time_millis: 1961.612, usercpu_time_millis_testing: 14.958, usercpu_time_millis_training: 1946.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9668, kappa: 0.9186, kb_relative_information_score: 29585.127, mean_absolute_error: 0.0613, 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: 0.1501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3578, scimark_benchmark: 2126.2155, usercpu_time_millis: 2155.626, usercpu_time_millis_testing: 8.431, usercpu_time_millis_training: 2147.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9483, kappa: 0.8731, kb_relative_information_score: 27064.4433, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4433, scimark_benchmark: 1838.6023, usercpu_time_millis: 2625.985, usercpu_time_millis_testing: 11.242, usercpu_time_millis_training: 2614.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.953, kappa: 0.8848, kb_relative_information_score: 27793.8754, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4223, scimark_benchmark: 1850.2875, usercpu_time_millis: 2683.067, usercpu_time_millis_testing: 9.351, usercpu_time_millis_training: 2673.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8597, kappa: 0.6554, kb_relative_information_score: 15235.417, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8594, predictive_accuracy: 0.8601, prior_entropy: 0.863, recall: 0.8601, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.7192, scimark_benchmark: 1724.375, usercpu_time_millis: 154.228, usercpu_time_millis_testing: 5.911, usercpu_time_millis_training: 148.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9032, kappa: 0.7585, kb_relative_information_score: 19025.4357, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9041, predictive_accuracy: 0.9052, prior_entropy: 0.863, recall: 0.9052, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.6001, scimark_benchmark: 1726.3086, usercpu_time_millis: 158.304, usercpu_time_millis_testing: 3.759, usercpu_time_millis_training: 154.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9323, kappa: 0.8318, kb_relative_information_score: 25221.0347, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9334, prior_entropy: 0.863, recall: 0.9334, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4994, scimark_benchmark: 1705.1148, usercpu_time_millis: 186.698, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 185.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8638, kappa: 0.6657, kb_relative_information_score: 15653.2952, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8636, predictive_accuracy: 0.864, prior_entropy: 0.863, recall: 0.864, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6944, scimark_benchmark: 1725.2655, usercpu_time_millis: 196.437, usercpu_time_millis_testing: 7.208, usercpu_time_millis_training: 189.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29650.8611, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3553, scimark_benchmark: 1718.3417, usercpu_time_millis: 286.042, usercpu_time_millis_testing: 1.758, usercpu_time_millis_training: 284.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9672, kappa: 0.9195, kb_relative_information_score: 30024.6989, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3552, scimark_benchmark: 1731.8814, usercpu_time_millis: 1151.902, usercpu_time_millis_testing: 2.956, usercpu_time_millis_training: 1148.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9428, kappa: 0.8589, kb_relative_information_score: 26271.4289, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4603, scimark_benchmark: 1718.7337, usercpu_time_millis: 357.756, usercpu_time_millis_testing: 5.712, usercpu_time_millis_training: 352.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9451, kappa: 0.8649, kb_relative_information_score: 26856.9518, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4536, scimark_benchmark: 1724.5497, usercpu_time_millis: 4137.023, usercpu_time_millis_testing: 10.875, usercpu_time_millis_training: 4126.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9666, kappa: 0.918, kb_relative_information_score: 29997.5588, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3573, scimark_benchmark: 1737.0657, usercpu_time_millis: 3283.884, usercpu_time_millis_testing: 7.23, usercpu_time_millis_training: 3276.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9517, kappa: 0.8814, kb_relative_information_score: 27434.5857, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.43, scimark_benchmark: 1099.9057, usercpu_time_millis: 3353.746, usercpu_time_millis_testing: 22.671, usercpu_time_millis_training: 3331.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9619, kappa: 0.9065, kb_relative_information_score: 29015.1918, mean_absolute_error: 0.0678, 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: 0.1661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3818, scimark_benchmark: 1081.3528, usercpu_time_millis: 5693.48, usercpu_time_millis_testing: 10.888, usercpu_time_millis_training: 5682.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9534, kappa: 0.8858, kb_relative_information_score: 27840.1621, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4189, scimark_benchmark: 1726.3126, usercpu_time_millis: 3378.589, usercpu_time_millis_testing: 14.855, usercpu_time_millis_training: 3363.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.916, kappa: 0.7887, kb_relative_information_score: 24449.0212, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.919, prior_entropy: 0.863, recall: 0.919, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.5226, scimark_benchmark: 1135.9895, usercpu_time_millis: 3720.519, usercpu_time_millis_testing: 12.791, usercpu_time_millis_training: 3707.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9002, kappa: 0.751, kb_relative_information_score: 15131.0446, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9011, predictive_accuracy: 0.9023, prior_entropy: 0.863, recall: 0.9023, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6757, scimark_benchmark: 1856.1949, usercpu_time_millis: 103.703, usercpu_time_millis_testing: 5.743, usercpu_time_millis_training: 97.96,

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