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: 0.9057, f_measure: 0.8963, kappa: 0.4563, kb_relative_information_score: 365.6286, mean_absolute_error: 0.1395, 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: 0.6494, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.7899, scimark_benchmark: 1282.0836, usercpu_time_millis: 104.338, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 104.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8939, kappa: 0.4383, kb_relative_information_score: 337.2611, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9095, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.7964, scimark_benchmark: 1288.0204, usercpu_time_millis: 389.445, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 389.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8952, kappa: 0.4503, kb_relative_information_score: 364.4812, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9052, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.7899, scimark_benchmark: 1311.5275, usercpu_time_millis: 74.518, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 74.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9, kappa: 0.4815, kb_relative_information_score: 427.8269, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9061, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.7844, scimark_benchmark: 1299.5637, usercpu_time_millis: 4.258, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 4.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8878, kappa: 0.4193, kb_relative_information_score: 357.8774, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8896, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.8379, scimark_benchmark: 1300.9721, usercpu_time_millis: 5.642, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 5.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4769, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -4.9145, 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: 0.9999, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3287, root_relative_squared_error: 1.0039, scimark_benchmark: 1312.6107, usercpu_time_millis: 5.27, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 5.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8985, kappa: 0.4674, kb_relative_information_score: 364.5613, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9097, predictive_accuracy: 0.9143, prior_entropy: 0.5368, recall: 0.9143, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.7866, scimark_benchmark: 1285.3995, usercpu_time_millis: 16.716, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 16.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 360.3502, 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: 0.654, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7917, scimark_benchmark: 1289.9867, usercpu_time_millis: 167.789, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 167.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.8247, kappa: 0.0248, kb_relative_information_score: 18.1485, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8331, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.9931, scimark_benchmark: 1270.1798, usercpu_time_millis: 4.761, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 4.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.861, kappa: 0.2686, kb_relative_information_score: 194.0641, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8583, predictive_accuracy: 0.8834, prior_entropy: 0.5368, recall: 0.8834, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.292, root_relative_squared_error: 0.892, scimark_benchmark: 1299.3749, usercpu_time_millis: 11.927, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 11.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.894, kappa: 0.453, kb_relative_information_score: 373.9703, mean_absolute_error: 0.1372, 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: 0.6388, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.8112, scimark_benchmark: 1305.299, usercpu_time_millis: 3.237, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 3.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8985, kappa: 0.4674, kb_relative_information_score: 373.6592, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9097, predictive_accuracy: 0.9143, prior_entropy: 0.5368, recall: 0.9143, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.7848, scimark_benchmark: 1291.2612, usercpu_time_millis: 9.567, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 9.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.8256, kappa: 0.0314, kb_relative_information_score: -123.2463, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8268, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.9814, scimark_benchmark: 1300.2666, usercpu_time_millis: 15.108, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 14.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8922, kappa: 0.4392, kb_relative_information_score: 403.9338, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8972, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.8259, scimark_benchmark: 1304.6934, usercpu_time_millis: 3.832, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 3.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8973, kappa: 0.4683, kb_relative_information_score: 378.8354, 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: 0.6389, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.801, scimark_benchmark: 1306.2845, usercpu_time_millis: 3.194, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 3.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8915, kappa: 0.4446, kb_relative_information_score: 359.6213, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8916, predictive_accuracy: 0.904, prior_entropy: 0.5368, recall: 0.904, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.8202, scimark_benchmark: 1303.2701, usercpu_time_millis: 4.687, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 4.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -77.0129, mean_absolute_error: 0.2126, 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: 0.9899, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.9973, scimark_benchmark: 1278.6023, usercpu_time_millis: 13.234, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 13.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.8298, kappa: 0.0546, kb_relative_information_score: 33.9183, mean_absolute_error: 0.2093, 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: 0.9744, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.9899, scimark_benchmark: 1282.8011, usercpu_time_millis: 4.469, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 4.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8963, kappa: 0.4563, kb_relative_information_score: 364.6062, mean_absolute_error: 0.1396, 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: 0.6502, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7902, scimark_benchmark: 1306.7573, usercpu_time_millis: 133.122, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 133.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.8321, kappa: 0.0726, kb_relative_information_score: -122.5502, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8396, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.9728, scimark_benchmark: 1288.9653, usercpu_time_millis: 14.905, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 14.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -0.7337, 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: 0.3286, root_relative_squared_error: 1.0036, scimark_benchmark: 1301.674, usercpu_time_millis: 3.856, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 3.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 28.7992, 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: 0.3248, root_relative_squared_error: 0.9921, scimark_benchmark: 1285.5386, usercpu_time_millis: 4.055, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 3.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 34.0458, mean_absolute_error: 0.2095, 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: 0.9755, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.991, scimark_benchmark: 1304.8684, usercpu_time_millis: 4.188, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8922, kappa: 0.4459, kb_relative_information_score: 333.8781, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8935, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.8119, scimark_benchmark: 1279.8788, usercpu_time_millis: 4.58, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 4.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8899, kappa: 0.4298, kb_relative_information_score: 339.7602, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8927, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6781, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.8329, scimark_benchmark: 1287.5627, usercpu_time_millis: 3.803, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 3.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.8367, kappa: 0.0969, kb_relative_information_score: 86.1306, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8658, predictive_accuracy: 0.8827, prior_entropy: 0.5368, recall: 0.8827, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.968, scimark_benchmark: 1301.9892, usercpu_time_millis: 3.738, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 3.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -110.8972, mean_absolute_error: 0.2121, 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: 0.9876, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9961, scimark_benchmark: 1289.2839, usercpu_time_millis: 13.067, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 12.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8973, kappa: 0.4683, kb_relative_information_score: 379.3571, mean_absolute_error: 0.1368, 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: 0.6369, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8005, scimark_benchmark: 1308.5255, usercpu_time_millis: 3.27, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 3.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.8222, kappa: 0.0084, kb_relative_information_score: 23.3658, mean_absolute_error: 0.2111, 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: 0.9829, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.9909, scimark_benchmark: 1306.6736, usercpu_time_millis: 4.719, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 4.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.889, kappa: 0.431, kb_relative_information_score: 352.9909, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8887, predictive_accuracy: 0.9019, prior_entropy: 0.5368, recall: 0.9019, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.266, root_relative_squared_error: 0.8124, scimark_benchmark: 1285.0809, usercpu_time_millis: 5.008, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 4.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.895, kappa: 0.4445, kb_relative_information_score: 355.9797, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9103, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7894, scimark_benchmark: 1281.7669, usercpu_time_millis: 11.753, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 11.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -110.2089, mean_absolute_error: 0.2108, 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: 0.9817, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.992, scimark_benchmark: 1274.7028, usercpu_time_millis: 13.924, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 13.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.8251, kappa: 0.0263, kb_relative_information_score: 15.2759, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8454, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.9974, scimark_benchmark: 1309.5767, usercpu_time_millis: 4.529, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 4.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.8279, kappa: 0.047, kb_relative_information_score: -71.1821, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8298, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.319, root_relative_squared_error: 0.9745, scimark_benchmark: 1311.4649, usercpu_time_millis: 12.112, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 11.917,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -0.7566, mean_absolute_error: 0.2143, 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: 0.9977, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3285, root_relative_squared_error: 1.0036, scimark_benchmark: 1315.1911, usercpu_time_millis: 4.557, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8892, kappa: 0.4286, kb_relative_information_score: 354.2703, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8906, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.8393, scimark_benchmark: 1341.4544, usercpu_time_millis: 5.442, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 5.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: -142.249, mean_absolute_error: 0.2095, 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: 0.9757, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.9882, scimark_benchmark: 1322.9229, usercpu_time_millis: 14.005, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 13.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8979, kappa: 0.4648, kb_relative_information_score: 361.7223, 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: 0.6548, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7904, scimark_benchmark: 1322.093, usercpu_time_millis: 26.681, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 26.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8542, kappa: 0.2027, kb_relative_information_score: 239.9408, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8809, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.294, root_relative_squared_error: 0.8979, scimark_benchmark: 1316.8906, usercpu_time_millis: 4.378, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 4.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 29.2835, 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: 0.9813, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.992, scimark_benchmark: 1287.8497, usercpu_time_millis: 4.164, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 4.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 26.7184, mean_absolute_error: 0.211, 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: 1340.7923, usercpu_time_millis: 4.105, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8948, kappa: 0.4596, kb_relative_information_score: 343.0281, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8964, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.804, scimark_benchmark: 1314.8209, usercpu_time_millis: 4.865, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.8921, kappa: 0.4469, kb_relative_information_score: 72.8982, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8925, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.8501, scimark_benchmark: 1320.0743, usercpu_time_millis: 4.312, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 4.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 25.9431, mean_absolute_error: 0.2111, 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: 0.9829, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.9938, scimark_benchmark: 1318.7102, usercpu_time_millis: 4.352, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 4.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8962, kappa: 0.4684, kb_relative_information_score: 374.9035, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8973, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.8201, scimark_benchmark: 1338.9591, usercpu_time_millis: 4.093, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8853, kappa: 0.4037, kb_relative_information_score: 338.6, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8876, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.845, scimark_benchmark: 1338.2312, usercpu_time_millis: 6.337, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 6.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.8256, kappa: 0.0314, kb_relative_information_score: -138.4605, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8268, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.982, scimark_benchmark: 1312.7681, usercpu_time_millis: 15.297, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 15.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8899, kappa: 0.4298, kb_relative_information_score: 357.5283, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8927, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.8418, scimark_benchmark: 1317.7499, usercpu_time_millis: 4.507, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 4.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.8254, kappa: 0.0278, kb_relative_information_score: 26.325, mean_absolute_error: 0.2111, 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: 0.983, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.325, root_relative_squared_error: 0.9926, scimark_benchmark: 1337.9293, usercpu_time_millis: 4.832, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 4.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8997, kappa: 0.4725, kb_relative_information_score: 379.8122, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9127, predictive_accuracy: 0.9156, prior_entropy: 0.5368, recall: 0.9156, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.783, scimark_benchmark: 1327.9387, usercpu_time_millis: 7.31, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 7.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8872, kappa: 0.417, kb_relative_information_score: 339.4334, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8886, predictive_accuracy: 0.9019, prior_entropy: 0.5368, recall: 0.9019, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.8348, scimark_benchmark: 1337.426, usercpu_time_millis: 4.326, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8973, kappa: 0.4683, kb_relative_information_score: 402.66, mean_absolute_error: 0.1361, 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: 0.634, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.7977, scimark_benchmark: 1345.0731, usercpu_time_millis: 4.111, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8965, kappa: 0.4667, kb_relative_information_score: 381.7885, 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: 0.6355, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8002, scimark_benchmark: 1351.993, usercpu_time_millis: 3.516, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 3.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: -140.9394, mean_absolute_error: 0.2097, 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: 0.9766, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.9888, scimark_benchmark: 1325.0844, usercpu_time_millis: 14.521, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 14.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 361.2763, 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: 0.6537, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7918, scimark_benchmark: 1342.9785, usercpu_time_millis: 215.656, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 215.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8762, kappa: 0.3561, kb_relative_information_score: 288.8351, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8761, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.849, scimark_benchmark: 1319.307, usercpu_time_millis: 7.724, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 7.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.8259, kappa: 0.0329, kb_relative_information_score: -145.7535, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8336, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.9827, scimark_benchmark: 1335.518, usercpu_time_millis: 15.259, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 15.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8752, kappa: 0.3459, kb_relative_information_score: 274.0709, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8769, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.7161, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.8519, scimark_benchmark: 1342.8421, usercpu_time_millis: 8.176, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 8.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8515, kappa: 0.1866, kb_relative_information_score: 227.3674, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8781, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.9036, scimark_benchmark: 1353.1711, usercpu_time_millis: 4.207, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 4.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4455, f_measure: 0.8202, kappa: -0.0027, kb_relative_information_score: -8.9775, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7706, predictive_accuracy: 0.8765, prior_entropy: 0.5368, recall: 0.8765, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3289, root_relative_squared_error: 1.0047, scimark_benchmark: 1346.2157, usercpu_time_millis: 5.954, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 5.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8339, kappa: 0.0952, kb_relative_information_score: -58.973, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8256, predictive_accuracy: 0.8731, prior_entropy: 0.5368, recall: 0.8731, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.312, root_relative_squared_error: 0.9532, scimark_benchmark: 1331.3859, usercpu_time_millis: 13.487, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 13.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.8256, kappa: 0.0314, kb_relative_information_score: -139.4982, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8268, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.9823, scimark_benchmark: 1332.0275, usercpu_time_millis: 15.225, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 14.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.8341, kappa: 0.0806, kb_relative_information_score: 71.0904, mean_absolute_error: 0.2034, 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: 0.9474, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9754, scimark_benchmark: 1326.6034, usercpu_time_millis: 3.63, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 3.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.8322, kappa: 0.0699, kb_relative_information_score: 80.4909, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8561, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.9678, scimark_benchmark: 1326.3441, usercpu_time_millis: 3.535, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 3.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.8461, kappa: 0.1734, kb_relative_information_score: 76.0253, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8423, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.9266, scimark_benchmark: 1318.4848, usercpu_time_millis: 8.535, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 8.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -116.4441, 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: 0.9871, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.326, root_relative_squared_error: 0.9958, scimark_benchmark: 1341.4092, usercpu_time_millis: 13.329, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 13.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -75.5475, mean_absolute_error: 0.2126, 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: 0.9898, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.9972, scimark_benchmark: 1348.8844, usercpu_time_millis: 14.163, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 13.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4765, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -5.9226, 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: 1, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3287, root_relative_squared_error: 1.004, scimark_benchmark: 1327.1155, usercpu_time_millis: 5.522, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 5.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5901, f_measure: 0.8251, kappa: 0.0263, kb_relative_information_score: 20.5936, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8454, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.326, root_relative_squared_error: 0.9957, scimark_benchmark: 1344.449, usercpu_time_millis: 4.661, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.575,

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