OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142878 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8911, kappa: 0.7542, kb_relative_information_score: 804.686, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9075, predictive_accuracy: 0.8959, prior_entropy: 0.9313, recall: 0.8959, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6967, scimark_benchmark: 1323.0291, usercpu_time_millis: 79.225, usercpu_time_millis_testing: 6.144, usercpu_time_millis_training: 73.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1593.9724, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.2954, scimark_benchmark: 1290.8721, usercpu_time_millis: 106.696, usercpu_time_millis_testing: 5.522, usercpu_time_millis_training: 101.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9856, kappa: 0.9681, kb_relative_information_score: 1423.0133, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9313, recall: 0.9856, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3959, scimark_benchmark: 1317.3626, usercpu_time_millis: 41.583, usercpu_time_millis_testing: 2.902, usercpu_time_millis_training: 38.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1666.6498, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.118, root_relative_squared_error: 0.2479, scimark_benchmark: 1315.9821, usercpu_time_millis: 14.996, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 14.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1891.1854, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0802, scimark_benchmark: 1294.4627, usercpu_time_millis: 29.757, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 28.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.6575, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0039, root_relative_squared_error: 0.0082, scimark_benchmark: 1321.8213, usercpu_time_millis: 153.496, usercpu_time_millis_testing: 2.878, usercpu_time_millis_training: 150.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1907.9249, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0229, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0306, root_relative_squared_error: 0.0643, scimark_benchmark: 1291.6711, usercpu_time_millis: 158.643, usercpu_time_millis_testing: 4.237, usercpu_time_millis_training: 154.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1916.0332, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0175, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.0477, scimark_benchmark: 1289.3174, usercpu_time_millis: 89.882, usercpu_time_millis_testing: 2.008, usercpu_time_millis_training: 87.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9804, kappa: 0.9567, kb_relative_information_score: 1502.4873, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9804, predictive_accuracy: 0.9804, prior_entropy: 0.9313, recall: 0.9804, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3726, scimark_benchmark: 1326.3857, usercpu_time_millis: 2.145, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 1.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9866, kappa: 0.9703, kb_relative_information_score: 1369.0245, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9866, predictive_accuracy: 0.9866, prior_entropy: 0.9313, recall: 0.9866, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.428, scimark_benchmark: 1292.7742, usercpu_time_millis: 62.241, usercpu_time_millis_testing: 3.576, usercpu_time_millis_training: 58.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1919.7424, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0209, root_relative_squared_error: 0.0438, scimark_benchmark: 1286.4529, usercpu_time_millis: 122.375, usercpu_time_millis_testing: 2.761, usercpu_time_millis_training: 119.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9768, kappa: 0.9486, kb_relative_information_score: 1313.8381, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9768, predictive_accuracy: 0.9768, prior_entropy: 0.9313, recall: 0.9768, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4568, scimark_benchmark: 1320.6998, usercpu_time_millis: 25.737, usercpu_time_millis_testing: 1.647, usercpu_time_millis_training: 24.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.8541, kappa: 0.6703, kb_relative_information_score: 689.9818, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8765, predictive_accuracy: 0.8624, prior_entropy: 0.9313, recall: 0.8624, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7448, scimark_benchmark: 1298.3308, usercpu_time_millis: 2.553, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 2.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8825, kappa: 0.7346, kb_relative_information_score: 777.4204, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9012, predictive_accuracy: 0.8882, prior_entropy: 0.9313, recall: 0.8882, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7082, scimark_benchmark: 1303.1411, usercpu_time_millis: 63.034, usercpu_time_millis_testing: 5.974, usercpu_time_millis_training: 57.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1932.4284, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0092, root_relative_squared_error: 0.0194, scimark_benchmark: 1317.6118, usercpu_time_millis: 80.552, usercpu_time_millis_testing: 2.539, usercpu_time_millis_training: 78.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1927.339, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0164, root_relative_squared_error: 0.0345, scimark_benchmark: 1297.1605, usercpu_time_millis: 134.954, usercpu_time_millis_testing: 3.223, usercpu_time_millis_training: 131.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1647.5959, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9313, recall: 0.9948, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.2616, scimark_benchmark: 1300.7287, usercpu_time_millis: 120.688, usercpu_time_millis_testing: 5.266, usercpu_time_millis_training: 115.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1916.4486, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0322, root_relative_squared_error: 0.0677, scimark_benchmark: 1300.3747, usercpu_time_millis: 1.404, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 1.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1863.4931, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1046, scimark_benchmark: 1311.8213, usercpu_time_millis: 25.521, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 24.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1677.0478, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9313, recall: 0.9948, relative_absolute_error: 0.1735, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.2439, scimark_benchmark: 1323.18, usercpu_time_millis: 40.013, usercpu_time_millis_testing: 2.116, usercpu_time_millis_training: 37.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9689, kappa: 0.9308, kb_relative_information_score: 1103.5239, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9695, predictive_accuracy: 0.9691, prior_entropy: 0.9313, recall: 0.9691, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5634, scimark_benchmark: 1318.161, usercpu_time_millis: 89.329, usercpu_time_millis_testing: 7.014, usercpu_time_millis_training: 82.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1592.0188, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.2966, scimark_benchmark: 1320.3258, usercpu_time_millis: 62.828, usercpu_time_millis_testing: 3.168, usercpu_time_millis_training: 59.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1816.3776, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1272, scimark_benchmark: 1315.3638, usercpu_time_millis: 57.48, usercpu_time_millis_testing: 2.562, usercpu_time_millis_training: 54.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1932.9996, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0099, root_relative_squared_error: 0.0208, scimark_benchmark: 1321.1536, usercpu_time_millis: 153.861, usercpu_time_millis_testing: 2.826, usercpu_time_millis_training: 151.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1695.859, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.2316, scimark_benchmark: 1310.6717, usercpu_time_millis: 29.385, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 28.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1864.5295, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1074, scimark_benchmark: 1292.8367, usercpu_time_millis: 6.907, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 6.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 1573.0185, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9313, recall: 0.9933, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.3078, scimark_benchmark: 1294.4679, usercpu_time_millis: 95.021, usercpu_time_millis_testing: 5.303, usercpu_time_millis_training: 89.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1807.4738, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.1524, scimark_benchmark: 1320.0103, usercpu_time_millis: 97.52, usercpu_time_millis_testing: 3.242, usercpu_time_millis_training: 94.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.0244, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0043, root_relative_squared_error: 0.009, scimark_benchmark: 1298.8626, usercpu_time_millis: 136.402, usercpu_time_millis_testing: 3.001, usercpu_time_millis_training: 133.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1935.2299, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0065, root_relative_squared_error: 0.0137, scimark_benchmark: 1323.9363, usercpu_time_millis: 28.414, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 27.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1683.487, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.235, scimark_benchmark: 1324.8443, usercpu_time_millis: 45.514, usercpu_time_millis_testing: 2.128, usercpu_time_millis_training: 43.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1886.4219, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0375, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.0897, scimark_benchmark: 1317.1472, usercpu_time_millis: 154.554, usercpu_time_millis_testing: 4.247, usercpu_time_millis_training: 150.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1743.0223, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.1991, scimark_benchmark: 1313.7873, usercpu_time_millis: 20.94, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 19.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1905.4755, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0335, root_relative_squared_error: 0.0704, scimark_benchmark: 1302.3807, usercpu_time_millis: 4.233, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 4.078,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.9837, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0018, root_relative_squared_error: 0.0039, scimark_benchmark: 1320.2124, usercpu_time_millis: 150.045, usercpu_time_millis_testing: 2.541, usercpu_time_millis_training: 147.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1935.2296, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0067, root_relative_squared_error: 0.0141, scimark_benchmark: 1319.673, usercpu_time_millis: 86.067, usercpu_time_millis_testing: 2.525, usercpu_time_millis_training: 83.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1932.497, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0101, root_relative_squared_error: 0.0212, scimark_benchmark: 1292.7543, usercpu_time_millis: 90.27, usercpu_time_millis_testing: 3.102, usercpu_time_millis_training: 87.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1934.6336, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0076, root_relative_squared_error: 0.0159, scimark_benchmark: 1321.2543, usercpu_time_millis: 87.35, usercpu_time_millis_testing: 2.034, usercpu_time_millis_training: 85.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1818.8371, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0676, root_relative_squared_error: 0.1421, scimark_benchmark: 1310.4991, usercpu_time_millis: 59.324, usercpu_time_millis_testing: 2.539, usercpu_time_millis_training: 56.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1936.7585, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0049, root_relative_squared_error: 0.0103, scimark_benchmark: 1313.2251, usercpu_time_millis: 113.156, usercpu_time_millis_testing: 2.928, usercpu_time_millis_training: 110.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1911.2541, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0275, root_relative_squared_error: 0.0578, scimark_benchmark: 1319.0273, usercpu_time_millis: 94.417, usercpu_time_millis_testing: 2.508, usercpu_time_millis_training: 91.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9876, kappa: 0.9727, kb_relative_information_score: 1436.1828, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9313, recall: 0.9876, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3891, scimark_benchmark: 1322.7823, usercpu_time_millis: 15.137, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 14.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6171, mean_absolute_error: 0, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0004, root_relative_squared_error: 0.0008, scimark_benchmark: 1294.4408, usercpu_time_millis: 44.592, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 43.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9897, kappa: 0.9772, kb_relative_information_score: 1462.1316, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.9313, recall: 0.9897, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3733, scimark_benchmark: 1305.6242, usercpu_time_millis: 62.813, usercpu_time_millis_testing: 3.552, usercpu_time_millis_training: 59.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1928.2959, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0131, root_relative_squared_error: 0.0276, scimark_benchmark: 1305.8712, usercpu_time_millis: 106.142, usercpu_time_millis_testing: 2.499, usercpu_time_millis_training: 103.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9907, kappa: 0.9795, kb_relative_information_score: 1425.1427, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.9313, recall: 0.9907, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.189, root_relative_squared_error: 0.397, scimark_benchmark: 1286.5414, usercpu_time_millis: 115.108, usercpu_time_millis_testing: 7.087, usercpu_time_millis_training: 108.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1901.0267, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0309, root_relative_squared_error: 0.0649, scimark_benchmark: 1317.9208, usercpu_time_millis: 3.549, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 3.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1902.3171, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.027, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0307, root_relative_squared_error: 0.0644, scimark_benchmark: 1299.954, usercpu_time_millis: 106.854, usercpu_time_millis_testing: 2.975, usercpu_time_millis_training: 103.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1851.0415, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1196, scimark_benchmark: 1324.2819, usercpu_time_millis: 74.596, usercpu_time_millis_testing: 3.221, usercpu_time_millis_training: 71.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1935.139, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0073, root_relative_squared_error: 0.0153, scimark_benchmark: 1322.1774, usercpu_time_millis: 23.474, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 22.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1911.7052, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0299, root_relative_squared_error: 0.0629, scimark_benchmark: 1288.1374, usercpu_time_millis: 96.323, usercpu_time_millis_testing: 2.928, usercpu_time_millis_training: 93.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.1453, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.001, root_relative_squared_error: 0.002, scimark_benchmark: 1291.7659, usercpu_time_millis: 142.05, usercpu_time_millis_testing: 2.305, usercpu_time_millis_training: 139.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1926.9442, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.032, scimark_benchmark: 1310.749, usercpu_time_millis: 56.23, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 55.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9777, kappa: 0.9507, kb_relative_information_score: 1192.0141, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.978, predictive_accuracy: 0.9778, prior_entropy: 0.9313, recall: 0.9778, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.5209, scimark_benchmark: 1289.7125, usercpu_time_millis: 56.356, usercpu_time_millis_testing: 3.863, usercpu_time_millis_training: 52.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1881.7907, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0411, root_relative_squared_error: 0.0863, scimark_benchmark: 1315.1119, usercpu_time_millis: 61.771, usercpu_time_millis_testing: 2.11, usercpu_time_millis_training: 59.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1731.458, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.2074, scimark_benchmark: 1289.0175, usercpu_time_millis: 46.852, usercpu_time_millis_testing: 1.95, usercpu_time_millis_training: 44.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1937.411, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0155, scimark_benchmark: 1296.0544, usercpu_time_millis: 107.199, usercpu_time_millis_testing: 2.035, usercpu_time_millis_training: 105.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, scimark_benchmark: 1314.3513, usercpu_time_millis: 80.762, usercpu_time_millis_testing: 1.283, usercpu_time_millis_training: 79.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1779.1654, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.175, scimark_benchmark: 1293.8111, usercpu_time_millis: 35.623, usercpu_time_millis_testing: 1.687, usercpu_time_millis_training: 33.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8794, kappa: 0.7276, kb_relative_information_score: 761.0695, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9, predictive_accuracy: 0.8856, prior_entropy: 0.9313, recall: 0.8856, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7151, scimark_benchmark: 1309.2226, usercpu_time_millis: 50.359, usercpu_time_millis_testing: 4.718, usercpu_time_millis_training: 45.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1895.7857, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0315, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.034, root_relative_squared_error: 0.0714, scimark_benchmark: 1311.1901, usercpu_time_millis: 55.872, usercpu_time_millis_testing: 1.727, usercpu_time_millis_training: 54.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.7843, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0029, root_relative_squared_error: 0.0062, scimark_benchmark: 1311.881, usercpu_time_millis: 142.313, usercpu_time_millis_testing: 2.391, usercpu_time_millis_training: 139.922,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs