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: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.2821, 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: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1863.8517, usercpu_time_millis: 0.446, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9592, kappa: 0.9173, kb_relative_information_score: 1049.9083, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.9912, recall: 0.9592, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4155, scimark_benchmark: 1867.6581, usercpu_time_millis: 1.554, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 678.2918, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8632, predictive_accuracy: 0.8622, prior_entropy: 0.9912, recall: 0.8622, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6604, scimark_benchmark: 1866.6776, usercpu_time_millis: 2.449, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 2.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9825, kappa: 0.9645, kb_relative_information_score: 1212.1507, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.2883, scimark_benchmark: 1862.2945, usercpu_time_millis: 6.167, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 5.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1145.3987, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3285, scimark_benchmark: 1868.6447, usercpu_time_millis: 6.632, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 5.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1193.5208, mean_absolute_error: 0.0786, 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: 0.1591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2582, scimark_benchmark: 1867.1999, usercpu_time_millis: 3.292, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 2.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1284.2574, mean_absolute_error: 0.0378, 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: 0.0766, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.1914, scimark_benchmark: 1863.3902, usercpu_time_millis: 2.951, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 2.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1262.7648, mean_absolute_error: 0.0468, 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: 0.0947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.2201, scimark_benchmark: 1859.7394, usercpu_time_millis: 1.976, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9715, kappa: 0.9422, kb_relative_information_score: 1198.5091, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9719, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3125, scimark_benchmark: 1871.4349, usercpu_time_millis: 4.435, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 3.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1215.8073, mean_absolute_error: 0.069, 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: 0.1398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.2382, scimark_benchmark: 1864.8991, usercpu_time_millis: 4.709, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 4.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9722, kappa: 0.9437, kb_relative_information_score: 1189.2383, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9728, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3097, scimark_benchmark: 1869.1029, usercpu_time_millis: 3.294, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 3.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9767, kappa: 0.9527, kb_relative_information_score: 1151.9084, mean_absolute_error: 0.0926, 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: 0.1875, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3229, scimark_benchmark: 1866.6776, usercpu_time_millis: 3.792, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 3.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9238, kappa: 0.8452, kb_relative_information_score: 1001.3123, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9259, predictive_accuracy: 0.9242, prior_entropy: 0.9912, recall: 0.9242, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.4826, scimark_benchmark: 1868.1832, usercpu_time_millis: 3.793, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 3.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.946, kappa: 0.8905, kb_relative_information_score: 892.2618, mean_absolute_error: 0.1989, 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: 0.4028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.4974, scimark_benchmark: 1861.1843, usercpu_time_millis: 2.815, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 2.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1002.281, mean_absolute_error: 0.1441, 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: 0.2918, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5186, scimark_benchmark: 1864.4376, usercpu_time_millis: 5.665, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 5.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1304.0104, mean_absolute_error: 0.0289, 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: 0.0585, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.1742, scimark_benchmark: 1860.8554, usercpu_time_millis: 4.85, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 4.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9584, kappa: 0.9156, kb_relative_information_score: 1116.1288, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3755, scimark_benchmark: 1864.8991, usercpu_time_millis: 4.854, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 4.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1242.9057, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2316, scimark_benchmark: 1873.8058, usercpu_time_millis: 1.866, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1253.7395, mean_absolute_error: 0.0502, 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: 0.1017, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2344, scimark_benchmark: 1854.4968, usercpu_time_millis: 8.72, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 8.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8719, kappa: 0.7414, kb_relative_information_score: 799.293, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8728, predictive_accuracy: 0.8717, prior_entropy: 0.9912, recall: 0.8717, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.5983, scimark_benchmark: 1863.0003, usercpu_time_millis: 2.882, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 2.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.957, kappa: 0.9129, kb_relative_information_score: 982.25, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9912, recall: 0.957, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4404, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.181, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.929, kappa: 0.8559, kb_relative_information_score: 1038.3653, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9303, predictive_accuracy: 0.9293, prior_entropy: 0.9912, recall: 0.9293, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4582, scimark_benchmark: 1864.4376, usercpu_time_millis: 1.28, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 1.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.887, kappa: 0.7706, kb_relative_information_score: 412.1341, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8949, predictive_accuracy: 0.8885, prior_entropy: 0.9912, recall: 0.8885, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7813, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.226, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.0961, mean_absolute_error: 0.4938, 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: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1995.8136, usercpu_time_millis: 0.609, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1261.3147, mean_absolute_error: 0.0488, 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: 0.0989, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.1998, scimark_benchmark: 1862.3553, usercpu_time_millis: 9.147, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 8.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1307.1186, mean_absolute_error: 0.0264, 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: 0.0534, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.2039, scimark_benchmark: 1867.3423, usercpu_time_millis: 1.253, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 1.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1265.5368, mean_absolute_error: 0.0444, 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: 0.0899, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.118, root_relative_squared_error: 0.2374, scimark_benchmark: 1862.932, usercpu_time_millis: 4.579, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 4.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1161.7415, mean_absolute_error: 0.0917, 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: 0.1857, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.144, root_relative_squared_error: 0.2897, scimark_benchmark: 1991.2135, usercpu_time_millis: 0.779, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9053, kappa: 0.8076, kb_relative_information_score: 812.816, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9088, predictive_accuracy: 0.906, prior_entropy: 0.9912, recall: 0.906, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.5626, scimark_benchmark: 1864.4376, usercpu_time_millis: 3.661, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 3.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1298.0855, 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: 0.0877, root_relative_squared_error: 0.1766, scimark_benchmark: 1861.1843, usercpu_time_millis: 7.317, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 6.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8502, kappa: 0.698, kb_relative_information_score: 739.6847, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.852, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6842, scimark_benchmark: 1869.1029, usercpu_time_millis: 2.904, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 2.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: 0.05, 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: 1869.1727, usercpu_time_millis: 0.629, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1131.1151, mean_absolute_error: 0.1045, 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: 0.2116, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3142, scimark_benchmark: 1571.1186, usercpu_time_millis: 1.883, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 1.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1289.8289, mean_absolute_error: 0.0355, 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: 0.0718, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.184, scimark_benchmark: 1861.8971, usercpu_time_millis: 9.36, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 8.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1316.5621, mean_absolute_error: 0.0231, 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: 0.0467, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.1648, scimark_benchmark: 1863.0756, usercpu_time_millis: 8.395, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 7.52,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9672, kappa: 0.9337, kb_relative_information_score: 995.513, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4227, scimark_benchmark: 1859.2172, usercpu_time_millis: 2.679, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 2.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1301.2207, mean_absolute_error: 0.0297, 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: 0.0601, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.1847, scimark_benchmark: 1859.6753, usercpu_time_millis: 5.396, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 4.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1087.4012, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9775, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3488, scimark_benchmark: 1860.7227, usercpu_time_millis: 1.225, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.1116, 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: 1865.3572, usercpu_time_millis: 2.043, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1310.7507, mean_absolute_error: 0.0258, 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: 0.0522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.1687, scimark_benchmark: 1871.3226, usercpu_time_millis: 8.831, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 8.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9781, kappa: 0.9557, kb_relative_information_score: 1170.0702, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3122, scimark_benchmark: 1862.4126, usercpu_time_millis: 0.613, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9119, kappa: 0.821, kb_relative_information_score: 899.3611, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9153, predictive_accuracy: 0.9125, prior_entropy: 0.9912, recall: 0.9125, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5215, scimark_benchmark: 1870.6721, usercpu_time_millis: 1.196, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0351, 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: 1838.3823, usercpu_time_millis: 0.679, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0363, 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: 1869.1727, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1292.949, mean_absolute_error: 0.0339, 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: 0.0686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.1839, scimark_benchmark: 1868.6447, usercpu_time_millis: 7.231, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 6.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1281.8125, mean_absolute_error: 0.0396, 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: 0.0802, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1822, scimark_benchmark: 1866.2961, usercpu_time_millis: 5.257, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 4.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 1015.9671, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9682, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4104, scimark_benchmark: 1862.932, usercpu_time_millis: 4.86, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 4.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1174.2354, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.2991, scimark_benchmark: 1862.4126, usercpu_time_millis: 3.934, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 3.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0356, 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: 1862.932, usercpu_time_millis: 1.674, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 1.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8916, kappa: 0.7798, kb_relative_information_score: 541.9596, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8985, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7114, scimark_benchmark: 1865.1205, usercpu_time_millis: 1.041, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9137, kappa: 0.8249, kb_relative_information_score: 1003.5852, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9145, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5134, scimark_benchmark: 1864.3739, usercpu_time_millis: 0.927, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.924, kappa: 0.8457, kb_relative_information_score: 1036.6297, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9247, predictive_accuracy: 0.9242, prior_entropy: 0.9912, recall: 0.9242, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.4794, scimark_benchmark: 1863.9794, usercpu_time_millis: 4.694, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 4.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9679, kappa: 0.9348, kb_relative_information_score: 1185.3654, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9683, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3259, scimark_benchmark: 1862.4126, usercpu_time_millis: 4.866, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 4.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9379, kappa: 0.874, kb_relative_information_score: 1058.0175, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9386, predictive_accuracy: 0.938, prior_entropy: 0.9912, recall: 0.938, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4372, scimark_benchmark: 1863.4543, usercpu_time_millis: 2.849, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 2.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1303.9504, mean_absolute_error: 0.0289, 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: 0.0586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.1741, scimark_benchmark: 1871.5019, usercpu_time_millis: 9.805, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 8.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9438, kappa: 0.8859, kb_relative_information_score: 1097.8819, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9442, predictive_accuracy: 0.9439, prior_entropy: 0.9912, recall: 0.9439, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.41, scimark_benchmark: 1861.913, usercpu_time_millis: 3.295, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 2.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.1754, 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: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1861.6424, usercpu_time_millis: 0.557, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1242.744, mean_absolute_error: 0.0571, 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: 0.1156, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2163, scimark_benchmark: 1865.3572, usercpu_time_millis: 8.36, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 7.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1312.6881, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2155, scimark_benchmark: 1862.932, usercpu_time_millis: 9.431, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 8.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.876, kappa: 0.7489, kb_relative_information_score: 723.0263, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.876, predictive_accuracy: 0.8761, prior_entropy: 0.9912, recall: 0.8761, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6173, scimark_benchmark: 1869.2942, usercpu_time_millis: 1.01, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1159.1651, mean_absolute_error: 0.0928, 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: 0.1878, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.145, root_relative_squared_error: 0.2917, scimark_benchmark: 1863.8001, usercpu_time_millis: 1.041, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1229.691, mean_absolute_error: 0.0618, 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: 0.1252, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.241, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.105, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1304.9622, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9877, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.1845, scimark_benchmark: 1839.9801, usercpu_time_millis: 1.265, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9067, kappa: 0.8104, kb_relative_information_score: 740.7205, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9107, predictive_accuracy: 0.9074, prior_entropy: 0.9912, recall: 0.9074, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.5928, scimark_benchmark: 1803.8609, usercpu_time_millis: 1.21, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 745.3848, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8522, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6795, scimark_benchmark: 1776.7695, usercpu_time_millis: 3.774, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 3.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9759, kappa: 0.9512, kb_relative_information_score: 1201.5528, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9761, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.2942, scimark_benchmark: 1783.1767, usercpu_time_millis: 4.67, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 4.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9606, kappa: 0.9203, kb_relative_information_score: 1045.062, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9606, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4179, scimark_benchmark: 1811.4275, usercpu_time_millis: 2.406, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 2.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1248.7819, mean_absolute_error: 0.0535, 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: 0.1084, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2224, scimark_benchmark: 1801.4745, usercpu_time_millis: 6.332, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 5.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9467, kappa: 0.892, kb_relative_information_score: 1105.9157, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.9912, recall: 0.9468, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.3988, scimark_benchmark: 1812.3043, usercpu_time_millis: 2.587, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 2.427,

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