OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9818, kappa: 0.963, kb_relative_information_score: 1264.1343, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2502, scimark_benchmark: 1851.8674, usercpu_time_millis: 0.068, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1304.0034, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.1747, scimark_benchmark: 1732.0988, usercpu_time_millis: 7.189, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 6.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.864, kappa: 0.7254, kb_relative_information_score: 745.5882, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8651, predictive_accuracy: 0.8637, prior_entropy: 0.9912, recall: 0.8637, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6302, scimark_benchmark: 1713.3488, usercpu_time_millis: 2.559, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 2.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8661, kappa: 0.7294, kb_relative_information_score: 663.3714, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8667, predictive_accuracy: 0.8659, prior_entropy: 0.9912, recall: 0.8659, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6669, scimark_benchmark: 1749.5639, usercpu_time_millis: 2.724, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 2.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1328.9362, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.1841, scimark_benchmark: 1728.2374, usercpu_time_millis: 14.351, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 13.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1315.7426, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0469, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.1826, scimark_benchmark: 1744.9056, usercpu_time_millis: 4.738, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 4.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1273.3668, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.2336, scimark_benchmark: 1763.1624, usercpu_time_millis: 3.768, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 3.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9482, kappa: 0.8949, kb_relative_information_score: 1121.9328, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9484, predictive_accuracy: 0.9483, prior_entropy: 0.9912, recall: 0.9483, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3863, scimark_benchmark: 1839.0599, usercpu_time_millis: 5.846, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 5.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1325.1203, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.1496, scimark_benchmark: 1732.0396, usercpu_time_millis: 0.358, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9242, kappa: 0.8465, kb_relative_information_score: 1069.3105, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9242, predictive_accuracy: 0.9242, prior_entropy: 0.9912, recall: 0.9242, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.4967, scimark_benchmark: 1830.9972, usercpu_time_millis: 11.117, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 10.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8763, kappa: 0.75, kb_relative_information_score: 702.3151, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8769, predictive_accuracy: 0.8761, prior_entropy: 0.9912, recall: 0.8761, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6262, scimark_benchmark: 1752.8751, usercpu_time_millis: 1.806, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 1.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1231.0668, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.2399, scimark_benchmark: 1870.866, usercpu_time_millis: 0.95, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9497, kappa: 0.898, kb_relative_information_score: 1077.7771, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9912, recall: 0.9497, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4151, scimark_benchmark: 1788.7864, usercpu_time_millis: 4.712, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 4.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8692, kappa: 0.737, kb_relative_information_score: 845.2377, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8731, predictive_accuracy: 0.8688, prior_entropy: 0.9912, recall: 0.8688, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6417, scimark_benchmark: 1912.24, usercpu_time_millis: 0.057, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1269.9295, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2026, scimark_benchmark: 1804.5665, usercpu_time_millis: 8.04, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 7.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9246, kappa: 0.8469, kb_relative_information_score: 1033.4725, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 0.9912, recall: 0.9249, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.4678, scimark_benchmark: 1853.6308, usercpu_time_millis: 2.837, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 2.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9156, kappa: 0.8286, kb_relative_information_score: 930.3481, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9187, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.251, root_relative_squared_error: 0.5051, scimark_benchmark: 1774.2972, usercpu_time_millis: 1.034, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 1098.0773, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9681, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3722, scimark_benchmark: 1785.1767, usercpu_time_millis: 3.909, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 3.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1242.6163, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2095, scimark_benchmark: 1864.1514, usercpu_time_millis: 7.799, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 7.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1298.2762, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.1798, scimark_benchmark: 1749.9829, usercpu_time_millis: 3.293, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 3.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1286.8406, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.2109, scimark_benchmark: 1828.7044, usercpu_time_millis: 8.594, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 8.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9767, kappa: 0.9529, kb_relative_information_score: 1097.1808, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3406, scimark_benchmark: 1747.4929, usercpu_time_millis: 5.23, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 4.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8546, kappa: 0.7069, kb_relative_information_score: 784.0426, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8567, predictive_accuracy: 0.8542, prior_entropy: 0.9912, recall: 0.8542, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.32, root_relative_squared_error: 0.644, scimark_benchmark: 1761.1391, usercpu_time_millis: 3.354, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 2.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9096, kappa: 0.8164, kb_relative_information_score: 694.9904, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9137, predictive_accuracy: 0.9104, prior_entropy: 0.9912, recall: 0.9104, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.619, scimark_benchmark: 1864.5852, usercpu_time_millis: 3.698, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 3.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1233.0505, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.2376, scimark_benchmark: 1868.9245, usercpu_time_millis: 7.273, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 6.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8784, kappa: 0.7542, kb_relative_information_score: 747.5485, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8789, predictive_accuracy: 0.8783, prior_entropy: 0.9912, recall: 0.8783, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.604, scimark_benchmark: 1842.6758, usercpu_time_millis: 2.528, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 2.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1286.3034, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1942, scimark_benchmark: 1864.5852, usercpu_time_millis: 1.426, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 1.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1313.8224, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.1634, scimark_benchmark: 1852.8114, usercpu_time_millis: 1.82, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9767, kappa: 0.9528, kb_relative_information_score: 1166.944, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3181, scimark_benchmark: 1752.305, usercpu_time_millis: 8.21, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 7.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1257.8964, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1943, scimark_benchmark: 1753.2494, usercpu_time_millis: 7.437, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 6.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8582, kappa: 0.714, kb_relative_information_score: 758.4464, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8599, predictive_accuracy: 0.8579, prior_entropy: 0.9912, recall: 0.8579, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6287, scimark_benchmark: 1865.0161, usercpu_time_millis: 1.629, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9475, kappa: 0.8936, kb_relative_information_score: 1075.6704, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9475, predictive_accuracy: 0.9475, prior_entropy: 0.9912, recall: 0.9475, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4172, scimark_benchmark: 1843.9357, usercpu_time_millis: 4.243, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 3.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0306, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1844.6335, usercpu_time_millis: 2.123, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 1.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9182, kappa: 0.8341, kb_relative_information_score: 1010.717, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9186, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5012, scimark_benchmark: 1784.1955, usercpu_time_millis: 3.265, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 2.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: -0.0641, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1749.9329, usercpu_time_millis: 2.012, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 1.62,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9182, kappa: 0.8341, kb_relative_information_score: 1012.832, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9185, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.4973, scimark_benchmark: 1855.4325, usercpu_time_millis: 4.414, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 4.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1319.7765, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.1768, scimark_benchmark: 2036.8125, usercpu_time_millis: 6.212, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 5.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8524, kappa: 0.7026, kb_relative_information_score: 731.6091, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8546, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6967, scimark_benchmark: 1922.4976, usercpu_time_millis: 2.075, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 1.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1317.1318, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1789, scimark_benchmark: 1751.7696, usercpu_time_millis: 3.391, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 3.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9606, kappa: 0.9203, kb_relative_information_score: 1042.2488, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4177, scimark_benchmark: 1761.5692, usercpu_time_millis: 5.399, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 4.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9138, kappa: 0.8252, kb_relative_information_score: 1010.7654, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9141, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5024, scimark_benchmark: 1751.7373, usercpu_time_millis: 0.313, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1303.3742, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.1662, scimark_benchmark: 1765.2688, usercpu_time_millis: 4.939, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 4.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0837, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1698.2512, usercpu_time_millis: 1.074, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9482, kappa: 0.895, kb_relative_information_score: 917.5855, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9483, predictive_accuracy: 0.9483, prior_entropy: 0.9912, recall: 0.9483, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.4798, scimark_benchmark: 1925.0265, usercpu_time_millis: 3.88, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 3.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9225, kappa: 0.8429, kb_relative_information_score: 1011.4197, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.923, predictive_accuracy: 0.9227, prior_entropy: 0.9912, recall: 0.9227, relative_absolute_error: 0.2864, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.4997, scimark_benchmark: 1923.3421, usercpu_time_millis: 0.106, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1014.313, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9165, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5088, scimark_benchmark: 1846.8716, usercpu_time_millis: 8.454, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 8.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1274.9773, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.2245, scimark_benchmark: 1846.9419, usercpu_time_millis: 5.391, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 5.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 662.0975, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6788, scimark_benchmark: 1849.0911, usercpu_time_millis: 1.466, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: -0.0796, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1742.6381, usercpu_time_millis: 0.562, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.887, kappa: 0.7705, kb_relative_information_score: 388.8596, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8952, predictive_accuracy: 0.8885, prior_entropy: 0.9912, recall: 0.8885, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7944, scimark_benchmark: 1749.9829, usercpu_time_millis: 0.871, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1316.1834, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.1634, scimark_benchmark: 1746.6883, usercpu_time_millis: 5.706, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 5.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9094, kappa: 0.8162, kb_relative_information_score: 1001.7866, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9099, predictive_accuracy: 0.9096, prior_entropy: 0.9912, recall: 0.9096, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.5452, scimark_benchmark: 1746.226, usercpu_time_millis: 4.274, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 4.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9208, kappa: 0.8392, kb_relative_information_score: 793.6465, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9233, predictive_accuracy: 0.9213, prior_entropy: 0.9912, recall: 0.9213, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.562, scimark_benchmark: 1747.6591, usercpu_time_millis: 3.304, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 2.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9134, kappa: 0.8242, kb_relative_information_score: 716.2099, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9161, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6053, scimark_benchmark: 1743.9277, usercpu_time_millis: 1.995, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1307.6427, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.1612, scimark_benchmark: 1743.1959, usercpu_time_millis: 3.114, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 2.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1236.2995, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.2144, scimark_benchmark: 1740.384, usercpu_time_millis: 4.099, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 3.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1251.9592, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.1996, scimark_benchmark: 1745.8253, usercpu_time_millis: 5.711, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 5.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1315.2999, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.1525, scimark_benchmark: 1747.5976, usercpu_time_millis: 8.422, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 7.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9135, kappa: 0.8245, kb_relative_information_score: 945.3731, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9154, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5195, scimark_benchmark: 1748.0598, usercpu_time_millis: 5.531, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 5.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1253.8885, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.1955, scimark_benchmark: 1749.9829, usercpu_time_millis: 5.666, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 5.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1311.7859, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.1595, scimark_benchmark: 1746.2794, usercpu_time_millis: 11.623, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 10.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9723, kappa: 0.944, kb_relative_information_score: 1217.8968, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.3128, scimark_benchmark: 1743.5289, usercpu_time_millis: 2.552, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 2.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1318.8632, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.1624, scimark_benchmark: 1746.8596, usercpu_time_millis: 2.277, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 2.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9563, kappa: 0.9114, kb_relative_information_score: 926.588, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9912, recall: 0.9563, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4717, scimark_benchmark: 1743.8685, usercpu_time_millis: 0.839, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.946, kappa: 0.8905, kb_relative_information_score: 1080.918, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9462, predictive_accuracy: 0.9461, prior_entropy: 0.9912, recall: 0.9461, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4203, scimark_benchmark: 1766.7361, usercpu_time_millis: 3.492, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 3.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9357, kappa: 0.8695, kb_relative_information_score: 1051.2675, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9364, predictive_accuracy: 0.9359, prior_entropy: 0.9912, recall: 0.9359, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4431, scimark_benchmark: 1739.4775, usercpu_time_millis: 8.078, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 7.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1321.6504, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.1781, scimark_benchmark: 1753.245, usercpu_time_millis: 6.671, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 6.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0365, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1753.8817, usercpu_time_millis: 2.043, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 1.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1305.5304, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.1728, scimark_benchmark: 1705.5542, usercpu_time_millis: 6.331, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 5.701,

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