OpenML
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 56.8341, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.9759, scimark_benchmark: 1323.442, usercpu_time_millis: 4.437, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 4.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8951, kappa: 0.4577, kb_relative_information_score: 351.3513, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8986, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.8193, scimark_benchmark: 1357.3952, usercpu_time_millis: 4.034, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 3.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8384, kappa: 0.1093, kb_relative_information_score: 110.2841, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8565, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.9304, scimark_benchmark: 1335.4992, usercpu_time_millis: 7.647, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 7.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8971, kappa: 0.4739, kb_relative_information_score: 364.653, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8982, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.818, scimark_benchmark: 1334.7446, usercpu_time_millis: 4.582, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 4.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8963, kappa: 0.4563, kb_relative_information_score: 363.6587, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9061, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7903, scimark_benchmark: 1341.0309, usercpu_time_millis: 156.91, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 156.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.8659, kappa: 0.2722, kb_relative_information_score: 252.4852, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8915, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.295, root_relative_squared_error: 0.9011, scimark_benchmark: 1344.8525, usercpu_time_millis: 3.691, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 3.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -1.9885, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3286, root_relative_squared_error: 1.0039, scimark_benchmark: 1346.5421, usercpu_time_millis: 4.302, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 4.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.8305, kappa: 0.0664, kb_relative_information_score: -77.5146, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.827, predictive_accuracy: 0.8759, prior_entropy: 0.5368, recall: 0.8759, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.9748, scimark_benchmark: 1320.2896, usercpu_time_millis: 14.8, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 14.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8975, kappa: 0.4724, kb_relative_information_score: 384.0954, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9003, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.8009, scimark_benchmark: 1359.3947, usercpu_time_millis: 3.332, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 3.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -0.3728, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3285, root_relative_squared_error: 1.0034, scimark_benchmark: 1329.4121, usercpu_time_millis: 5.214, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 5.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8968, kappa: 0.4589, kb_relative_information_score: 356.2842, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9075, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.7897, scimark_benchmark: 1346.5215, usercpu_time_millis: 22.938, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 22.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8965, kappa: 0.4667, kb_relative_information_score: 383.7471, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8994, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8005, scimark_benchmark: 1333.1355, usercpu_time_millis: 3.257, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 3.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8961, kappa: 0.4635, kb_relative_information_score: 377.7156, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8996, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.801, scimark_benchmark: 1335.1414, usercpu_time_millis: 3.381, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 3.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4645, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -8.111, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3287, root_relative_squared_error: 1.0041, scimark_benchmark: 1339.6573, usercpu_time_millis: 6.01, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 5.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5319, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: 0.992, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3278, root_relative_squared_error: 1.0014, scimark_benchmark: 1332.2413, usercpu_time_millis: 5.474, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 5.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.8388, kappa: 0.111, kb_relative_information_score: 124.8263, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8608, predictive_accuracy: 0.8827, prior_entropy: 0.5368, recall: 0.8827, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.9536, scimark_benchmark: 1349.1276, usercpu_time_millis: 3.72, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 3.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 67.2508, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9752, scimark_benchmark: 1342.8016, usercpu_time_millis: 4.453, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 4.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8989, kappa: 0.4708, kb_relative_information_score: 371.2745, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9091, predictive_accuracy: 0.9143, prior_entropy: 0.5368, recall: 0.9143, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7901, scimark_benchmark: 1336.4491, usercpu_time_millis: 4.874, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 4.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 31.9742, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.9914, scimark_benchmark: 1355.6284, usercpu_time_millis: 3.998, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6297, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -114.2878, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.9898, scimark_benchmark: 1356.5994, usercpu_time_millis: 14.183, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 13.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: -34.4618, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8531, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.9925, scimark_benchmark: 1326.6217, usercpu_time_millis: 5.882, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 5.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8955, kappa: 0.4611, kb_relative_information_score: 374.1243, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8985, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.8072, scimark_benchmark: 1327.2969, usercpu_time_millis: 3.27, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 3.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 29.9048, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.9922, scimark_benchmark: 1308.7632, usercpu_time_millis: 4.195, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 3.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9008, kappa: 0.4833, kb_relative_information_score: 389.5436, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.909, predictive_accuracy: 0.915, prior_entropy: 0.5368, recall: 0.915, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.7838, scimark_benchmark: 1353.5958, usercpu_time_millis: 5.211, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 5.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 359.9488, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7919, scimark_benchmark: 1347.0029, usercpu_time_millis: 207.978, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 207.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 26.8292, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.9935, scimark_benchmark: 1329.0739, usercpu_time_millis: 4.38, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 4.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4603, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -8.155, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3287, root_relative_squared_error: 1.004, scimark_benchmark: 1326.6443, usercpu_time_millis: 6.519, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 6.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.8375, kappa: 0.106, kb_relative_information_score: 139.4181, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8492, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.9495, scimark_benchmark: 1350.3446, usercpu_time_millis: 3.545, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 3.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 32.1465, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.9916, scimark_benchmark: 1327.7436, usercpu_time_millis: 3.998, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 3.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8983, kappa: 0.4683, kb_relative_information_score: 380.1748, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9078, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.784, scimark_benchmark: 1353.3365, usercpu_time_millis: 6.252, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 6.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.8295, kappa: 0.053, kb_relative_information_score: 88.2692, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8551, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.9707, scimark_benchmark: 1360.1105, usercpu_time_millis: 3.991, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8988, kappa: 0.4716, kb_relative_information_score: 376.936, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9073, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7893, scimark_benchmark: 1336.5897, usercpu_time_millis: 4.82, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 4.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8417, kappa: 0.1283, kb_relative_information_score: 137.2072, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8655, predictive_accuracy: 0.8841, prior_entropy: 0.5368, recall: 0.8841, relative_absolute_error: 0.8824, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.9221, scimark_benchmark: 1342.7547, usercpu_time_millis: 6.552, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 6.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.573, f_measure: 0.8222, kappa: 0.0084, kb_relative_information_score: 11.3757, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8322, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.999, scimark_benchmark: 1333.9393, usercpu_time_millis: 5.795, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 5.715,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 21.7514, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.9949, scimark_benchmark: 1307.3216, usercpu_time_millis: 4.35, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: -54.1761, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8531, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.9893, scimark_benchmark: 1324.3261, usercpu_time_millis: 5.546, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 5.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 32.409, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9917, scimark_benchmark: 1342.9012, usercpu_time_millis: 4.088, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 4.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8968, kappa: 0.4589, kb_relative_information_score: 355.9663, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9075, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.7897, scimark_benchmark: 1333.2511, usercpu_time_millis: 22.85, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 22.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8973, kappa: 0.4683, kb_relative_information_score: 378.7435, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9018, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.8011, scimark_benchmark: 1312.9033, usercpu_time_millis: 3.4, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 3.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8968, kappa: 0.465, kb_relative_information_score: 425.107, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.902, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7877, scimark_benchmark: 1304.5237, usercpu_time_millis: 4.109, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 4.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8988, kappa: 0.4716, kb_relative_information_score: 380.8127, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9073, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.258, root_relative_squared_error: 0.788, scimark_benchmark: 1315.6474, usercpu_time_millis: 4.562, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 4.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.8254, kappa: 0.0278, kb_relative_information_score: 35.9878, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8638, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.9859, scimark_benchmark: 1313.4573, usercpu_time_millis: 4.365, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 4.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -115.0173, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.326, root_relative_squared_error: 0.9959, scimark_benchmark: 1307.5791, usercpu_time_millis: 13.222, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 13.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 360.7412, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7918, scimark_benchmark: 1344.31, usercpu_time_millis: 167.836, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 167.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.894, kappa: 0.4581, kb_relative_information_score: 383.6009, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8945, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.271, root_relative_squared_error: 0.8277, scimark_benchmark: 1336.2726, usercpu_time_millis: 4.64, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 4.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8991, kappa: 0.4699, kb_relative_information_score: 364.093, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9112, predictive_accuracy: 0.915, prior_entropy: 0.5368, recall: 0.915, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.7867, scimark_benchmark: 1339.2545, usercpu_time_millis: 16.259, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 16.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.894, kappa: 0.453, kb_relative_information_score: 375.1367, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8965, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8099, scimark_benchmark: 1326.522, usercpu_time_millis: 3.313, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 3.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.8298, kappa: 0.0546, kb_relative_information_score: 31.2716, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8653, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.9915, scimark_benchmark: 1322.0048, usercpu_time_millis: 3.942, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -138.1581, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.991, scimark_benchmark: 1343.1422, usercpu_time_millis: 13.481, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 13.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -112.3447, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.996, scimark_benchmark: 1344.6761, usercpu_time_millis: 13.164, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 12.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: -142.9168, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8531, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.9869, scimark_benchmark: 1336.601, usercpu_time_millis: 14.169, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 13.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8979, kappa: 0.4648, kb_relative_information_score: 361.8564, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9083, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7903, scimark_benchmark: 1314.0079, usercpu_time_millis: 27.008, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 26.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.8341, kappa: 0.0806, kb_relative_information_score: 78.7608, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8669, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.9731, scimark_benchmark: 1320.1862, usercpu_time_millis: 4.203, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 4.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8964, kappa: 0.4617, kb_relative_information_score: 436.1741, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9023, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7904, scimark_benchmark: 1337.8119, usercpu_time_millis: 4.74, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 4.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.8302, kappa: 0.0621, kb_relative_information_score: -101.7545, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8318, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.979, scimark_benchmark: 1319.3363, usercpu_time_millis: 15.66, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 15.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8959, kappa: 0.4643, kb_relative_information_score: 375.0375, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8984, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.8019, scimark_benchmark: 1342.8402, usercpu_time_millis: 3.311, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 3.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.894, kappa: 0.453, kb_relative_information_score: 379.2568, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8965, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8036, scimark_benchmark: 1321.8796, usercpu_time_millis: 3.141, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 3.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.846, kappa: 0.1537, kb_relative_information_score: 205.2597, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8715, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.9079, scimark_benchmark: 1327.384, usercpu_time_millis: 4.95, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 4.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -50.7646, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.9948, scimark_benchmark: 1350.1827, usercpu_time_millis: 9.213, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 8.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.8267, kappa: 0.0393, kb_relative_information_score: 19.7736, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8284, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.9603, scimark_benchmark: 1345.7495, usercpu_time_millis: 9.421, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 9.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8554, kappa: 0.2299, kb_relative_information_score: 153.2003, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.854, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.8934, scimark_benchmark: 1342.537, usercpu_time_millis: 11.748, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 11.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8944, kappa: 0.442, kb_relative_information_score: 347.013, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9087, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.7955, scimark_benchmark: 1337.4847, usercpu_time_millis: 394.749, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 394.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.8263, kappa: 0.0343, kb_relative_information_score: -140.3336, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8424, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.9824, scimark_benchmark: 1353.3194, usercpu_time_millis: 14.853, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 14.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.894, kappa: 0.453, kb_relative_information_score: 373.297, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8965, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.8085, scimark_benchmark: 1301.5283, usercpu_time_millis: 3.297, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 3.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8951, kappa: 0.4577, kb_relative_information_score: 373.1351, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8986, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.8116, scimark_benchmark: 1312.9781, usercpu_time_millis: 3.375, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 3.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8961, kappa: 0.4635, kb_relative_information_score: 377.598, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8996, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.8011, scimark_benchmark: 1330.4662, usercpu_time_millis: 3.258, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 3.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.8298, kappa: 0.0546, kb_relative_information_score: 34.3672, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8653, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.99, scimark_benchmark: 1311.6696, usercpu_time_millis: 4.062, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 3.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8483, kappa: 0.1684, kb_relative_information_score: 193.2459, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8714, predictive_accuracy: 0.8868, prior_entropy: 0.5368, recall: 0.8868, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9097, scimark_benchmark: 1345.5815, usercpu_time_millis: 4.754, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 4.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.8298, kappa: 0.0576, kb_relative_information_score: -103.9984, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8398, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.975, scimark_benchmark: 1355.9762, usercpu_time_millis: 15.503, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 15.276,

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