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: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1306.5353, mean_absolute_error: 0.0277, 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: 0.0561, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.1742, scimark_benchmark: 2156.5744, usercpu_time_millis: 14.192, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 14.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1210.0268, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9776, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.272, scimark_benchmark: 1878.1724, usercpu_time_millis: 2.082, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 2.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9037, kappa: 0.8043, kb_relative_information_score: 551.8408, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9081, predictive_accuracy: 0.9045, prior_entropy: 0.9912, recall: 0.9045, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6941, scimark_benchmark: 1834.8832, usercpu_time_millis: 19.321, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 19.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -25.9384, mean_absolute_error: 0.5, 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: 1.0124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1874.977, usercpu_time_millis: 7.72, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 7.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 1229.3822, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9831, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2434, scimark_benchmark: 1875.6591, usercpu_time_millis: 4.093, usercpu_time_millis_testing: 0.002, usercpu_time_millis_training: 4.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9723, kappa: 0.9441, kb_relative_information_score: 1110.7744, mean_absolute_error: 0.1124, 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: 0.2276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3309, scimark_benchmark: 1871.8506, usercpu_time_millis: 7.964, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 7.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1329.0294, mean_absolute_error: 0.0166, 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: 0.0336, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.172, scimark_benchmark: 1861.2508, usercpu_time_millis: 5.237, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 5.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1243.6382, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9823, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2345, scimark_benchmark: 1858.3002, usercpu_time_millis: 8.608, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 8.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1332.0892, mean_absolute_error: 0.0152, 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: 0.0308, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.1714, scimark_benchmark: 1859.0681, usercpu_time_millis: 5.548, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 5.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1259.2978, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9823, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.2261, scimark_benchmark: 1877.7472, usercpu_time_millis: 7.291, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -25.9384, mean_absolute_error: 0.5, 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: 1.0124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1752.7462, usercpu_time_millis: 5.85, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 5.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1330.9412, mean_absolute_error: 0.0157, 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: 0.0319, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.1709, scimark_benchmark: 1864.0535, usercpu_time_millis: 6.828, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1264.9277, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9822, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.2259, scimark_benchmark: 1866.6336, usercpu_time_millis: 3.65, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -25.9384, mean_absolute_error: 0.5, 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: 1.0124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1874.7889, usercpu_time_millis: 7.59, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 7.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8324, kappa: 0.66, kb_relative_information_score: 56.9353, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8423, predictive_accuracy: 0.8353, prior_entropy: 0.9912, recall: 0.8353, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9659, scimark_benchmark: 1874.4761, usercpu_time_millis: 0.079, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1328.4576, mean_absolute_error: 0.0169, 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: 0.0342, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.1724, scimark_benchmark: 1874.4489, usercpu_time_millis: 5.862, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 5.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 1192.4283, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9762, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.2893, scimark_benchmark: 1872.4216, usercpu_time_millis: 4.562, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 4.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 1302.8791, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.985, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.1955, scimark_benchmark: 1868.8974, usercpu_time_millis: 1.142, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 1.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1220.3434, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.2524, scimark_benchmark: 1756.4112, usercpu_time_millis: 0.448, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1314.0503, mean_absolute_error: 0.0233, 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: 0.0473, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.1837, scimark_benchmark: 1877.7472, usercpu_time_millis: 7.832, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 1182.0266, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9762, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.2887, scimark_benchmark: 1873.4078, usercpu_time_millis: 7.559, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 7.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1311.2466, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9885, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.1864, scimark_benchmark: 1908.2649, usercpu_time_millis: 2.25, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 2.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9425, kb_relative_information_score: 1156.2575, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3205, scimark_benchmark: 1877.2162, usercpu_time_millis: 1.744, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 1.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1246.7723, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2355, scimark_benchmark: 1878.7854, usercpu_time_millis: 1.665, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 1.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9095, kappa: 0.8165, kb_relative_information_score: 904.9858, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9096, predictive_accuracy: 0.9096, prior_entropy: 0.9912, recall: 0.9096, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5372, scimark_benchmark: 1767.9947, usercpu_time_millis: 8.849, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 8.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1330.2635, mean_absolute_error: 0.0161, 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: 0.0325, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.1714, scimark_benchmark: 1875.2009, usercpu_time_millis: 5.382, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 5.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.93, kappa: 0.858, kb_relative_information_score: 987.2298, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4849, scimark_benchmark: 1864.5074, usercpu_time_millis: 11.253, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 11.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9274, kappa: 0.8525, kb_relative_information_score: 919.9542, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9304, predictive_accuracy: 0.9278, prior_entropy: 0.9912, recall: 0.9278, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5007, scimark_benchmark: 2074.5844, usercpu_time_millis: 3.032, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1333.0351, mean_absolute_error: 0.0148, 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: 0.03, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1707, scimark_benchmark: 1793.9448, usercpu_time_millis: 6.548, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 6.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1214.9082, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2848, scimark_benchmark: 1809.2611, usercpu_time_millis: 7.956, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 7.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -25.9384, mean_absolute_error: 0.5, 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: 1.0124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1762.6073, usercpu_time_millis: 14.887, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 14.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1277.0306, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.2278, scimark_benchmark: 1866.5348, usercpu_time_millis: 15.967, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 15.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1306.5257, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9871, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.19, scimark_benchmark: 2107.0981, usercpu_time_millis: 7.243, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 7.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9767, kappa: 0.9529, kb_relative_information_score: 1244.5581, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9771, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.2451, scimark_benchmark: 1867.0206, usercpu_time_millis: 5.113, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 5.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9796, kappa: 0.9588, kb_relative_information_score: 1009.8744, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9802, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.3913, scimark_benchmark: 1870.1346, usercpu_time_millis: 2.187, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 2.183,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8207, kappa: 0.637, kb_relative_information_score: 328.1378, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8373, predictive_accuracy: 0.8251, prior_entropy: 0.9912, recall: 0.8251, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8266, scimark_benchmark: 1864.6227, usercpu_time_millis: 0.523, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9599, kappa: 0.9186, kb_relative_information_score: 893.2216, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9912, recall: 0.9599, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4846, scimark_benchmark: 1870.1619, usercpu_time_millis: 0.767, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1275.1176, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.226, scimark_benchmark: 1857.1082, usercpu_time_millis: 1.528, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 1.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9716, kappa: 0.9424, kb_relative_information_score: 1144.1676, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3303, scimark_benchmark: 1768.7207, usercpu_time_millis: 0.566, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.909, kappa: 0.8153, kb_relative_information_score: 770.3719, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9116, predictive_accuracy: 0.9096, prior_entropy: 0.9912, recall: 0.9096, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.5868, scimark_benchmark: 1848.2722, usercpu_time_millis: 0.724, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1266.1336, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.2277, scimark_benchmark: 1771.3825, usercpu_time_millis: 1.936, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 1.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1330.6382, mean_absolute_error: 0.0159, 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: 0.0321, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1718, scimark_benchmark: 1755.733, usercpu_time_millis: 8.463, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 8.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1200.6328, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.2654, scimark_benchmark: 1886.411, usercpu_time_millis: 2.488, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 2.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1261.1646, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.2265, scimark_benchmark: 1873.4078, usercpu_time_millis: 6.869, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 6.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1327.4318, mean_absolute_error: 0.0173, 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: 0.035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.086, root_relative_squared_error: 0.1731, scimark_benchmark: 1872.9496, usercpu_time_millis: 6.758, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 6.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9767, kappa: 0.9529, kb_relative_information_score: 1230.1684, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.977, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2575, scimark_benchmark: 1873.4805, usercpu_time_millis: 6.762, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 6.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9613, kappa: 0.9216, kb_relative_information_score: 1072.064, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.3896, scimark_benchmark: 1877.8658, usercpu_time_millis: 3.49, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9789, kappa: 0.9573, kb_relative_information_score: 1000.7343, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9794, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.3977, scimark_benchmark: 1874.7394, usercpu_time_millis: 4.168, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9357, kappa: 0.8697, kb_relative_information_score: 825.9927, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.9912, recall: 0.9359, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5342, scimark_benchmark: 1873.9908, usercpu_time_millis: 3.184, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 3.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9782, kappa: 0.9559, kb_relative_information_score: 1094.3168, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9786, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3366, scimark_benchmark: 1876.7581, usercpu_time_millis: 0.991, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1128.6564, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.982, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.3117, scimark_benchmark: 1861.5185, usercpu_time_millis: 19.605, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 19.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9534, kappa: 0.9056, kb_relative_information_score: 1147.6444, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.9912, recall: 0.9534, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3677, scimark_benchmark: 1751.3718, usercpu_time_millis: 7.744, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 7.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1339.8417, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9912, recall: 0.9949, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.1175, scimark_benchmark: 1866.1679, usercpu_time_millis: 13.826, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 13.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 1230.1296, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9764, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.2551, scimark_benchmark: 1752.969, usercpu_time_millis: 7.758, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 7.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8545, kappa: 0.7045, kb_relative_information_score: 450.8252, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8619, predictive_accuracy: 0.8564, prior_entropy: 0.9912, recall: 0.8564, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7603, scimark_benchmark: 1870.2804, usercpu_time_millis: 4.245, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 4.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -25.9384, mean_absolute_error: 0.5, 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: 1.0124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1747.4929, usercpu_time_millis: 3.299, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 3.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9385, kappa: 0.8752, kb_relative_information_score: 965.1433, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9399, predictive_accuracy: 0.9388, prior_entropy: 0.9912, recall: 0.9388, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4704, scimark_benchmark: 1861.4051, usercpu_time_millis: 0.808, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9104, kappa: 0.8186, kb_relative_information_score: 805.8337, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.9912, recall: 0.9104, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5651, scimark_benchmark: 1852.859, usercpu_time_millis: 6.257, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 6.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1314.0933, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9885, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.092, root_relative_squared_error: 0.1851, scimark_benchmark: 1742.9021, usercpu_time_millis: 6.301, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1136.0293, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3038, scimark_benchmark: 1872.4881, usercpu_time_millis: 5.067, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 5.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1307.3053, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9871, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.1898, scimark_benchmark: 1877.7472, usercpu_time_millis: 4.223, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 4.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9774, kappa: 0.9544, kb_relative_information_score: 1069.8667, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9781, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3495, scimark_benchmark: 1878.5799, usercpu_time_millis: 2.073, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 2.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1273.1995, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9823, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.215, scimark_benchmark: 1894.3434, usercpu_time_millis: 3.63, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9124, kappa: 0.8224, kb_relative_information_score: 897.3236, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9125, predictive_accuracy: 0.9125, prior_entropy: 0.9912, recall: 0.9125, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.5327, scimark_benchmark: 1869.6309, usercpu_time_millis: 12.668, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 12.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1273.5681, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9823, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2155, scimark_benchmark: 1872.4881, usercpu_time_millis: 5.246, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 5.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9439, kappa: 0.8863, kb_relative_information_score: 1101.4615, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 0.9912, recall: 0.9439, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4022, scimark_benchmark: 1864.3281, usercpu_time_millis: 9.549, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 9.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1148.0944, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.2974, scimark_benchmark: 1844.5217, usercpu_time_millis: 5.555, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 5.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9263, kappa: 0.8505, kb_relative_information_score: 762.8266, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9265, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5838, scimark_benchmark: 1874.0573, usercpu_time_millis: 4.023, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9613, kappa: 0.9216, kb_relative_information_score: 1034.2966, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4043, scimark_benchmark: 1848.2161, usercpu_time_millis: 5.964, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 5.96,

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