OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.885, kappa: 0.7674, kb_relative_information_score: 753.5805, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8854, predictive_accuracy: 0.8848, prior_entropy: 0.9912, recall: 0.8848, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.5984, scimark_benchmark: 1296.3194, usercpu_time_millis: 6.115, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 5.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9416, kappa: 0.8815, kb_relative_information_score: 1055.4729, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9419, predictive_accuracy: 0.9417, prior_entropy: 0.9912, recall: 0.9417, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4385, scimark_benchmark: 1328.5225, usercpu_time_millis: 27.609, usercpu_time_millis_testing: 1.615, usercpu_time_millis_training: 25.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9607, kappa: 0.9204, kb_relative_information_score: 946.0888, mean_absolute_error: 0.1788, 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: 0.362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4572, scimark_benchmark: 1292.0737, usercpu_time_millis: 20.325, usercpu_time_millis_testing: 2.027, usercpu_time_millis_training: 18.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9614, kappa: 0.9218, kb_relative_information_score: 937.3125, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4615, scimark_benchmark: 1328.5464, usercpu_time_millis: 1.632, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 1.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1204.503, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2478, scimark_benchmark: 1293.8001, usercpu_time_millis: 17.547, usercpu_time_millis_testing: 1.704, usercpu_time_millis_training: 15.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.938, kappa: 0.8742, kb_relative_information_score: 1089.314, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9381, predictive_accuracy: 0.938, prior_entropy: 0.9912, recall: 0.938, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4202, scimark_benchmark: 1302.0591, usercpu_time_millis: 19.888, usercpu_time_millis_testing: 1.694, usercpu_time_millis_training: 18.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1256.2712, mean_absolute_error: 0.0517, 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: 0.1047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.195, scimark_benchmark: 1315.3809, usercpu_time_millis: 38.976, usercpu_time_millis_testing: 3.797, usercpu_time_millis_training: 35.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0354, 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: 1324.6416, usercpu_time_millis: 5.828, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 4.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1303.0031, mean_absolute_error: 0.0296, 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: 0.0599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.087, root_relative_squared_error: 0.1751, scimark_benchmark: 1326.2673, usercpu_time_millis: 28.272, usercpu_time_millis_testing: 1.714, usercpu_time_millis_training: 26.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1178.3274, mean_absolute_error: 0.0854, 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: 0.1729, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.268, scimark_benchmark: 1305.9512, usercpu_time_millis: 15.19, usercpu_time_millis_testing: 1.393, usercpu_time_millis_training: 13.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.0162, 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: 1324.1922, usercpu_time_millis: 13.591, usercpu_time_millis_testing: 1.497, usercpu_time_millis_training: 12.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1248.8127, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.122, root_relative_squared_error: 0.2454, scimark_benchmark: 1321.625, usercpu_time_millis: 45.821, usercpu_time_millis_testing: 2.636, usercpu_time_millis_training: 43.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1063.9362, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3719, scimark_benchmark: 1317.7314, usercpu_time_millis: 39.658, usercpu_time_millis_testing: 4.078, usercpu_time_millis_training: 35.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.3736, mean_absolute_error: 0.494, 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: 1.0002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1318.6973, usercpu_time_millis: 0.421, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1269.8221, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1821, scimark_benchmark: 1300.9505, usercpu_time_millis: 27.001, usercpu_time_millis_testing: 2.455, usercpu_time_millis_training: 24.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1244.4785, mean_absolute_error: 0.0553, 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: 0.1121, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.2268, scimark_benchmark: 1318.3823, usercpu_time_millis: 8.626, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 7.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1018.5946, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4037, scimark_benchmark: 1307.0904, usercpu_time_millis: 26.341, usercpu_time_millis_testing: 2.34, usercpu_time_millis_training: 24.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9142, kappa: 0.8258, kb_relative_information_score: 978.572, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9167, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5138, scimark_benchmark: 1326.0585, usercpu_time_millis: 19.684, usercpu_time_millis_testing: 1.383, usercpu_time_millis_training: 18.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9136, kappa: 0.8246, kb_relative_information_score: 818.4512, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9151, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5587, scimark_benchmark: 1295.3452, usercpu_time_millis: 11.296, usercpu_time_millis_testing: 1.069, usercpu_time_millis_training: 10.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: -0.1078, 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: 1342.3087, usercpu_time_millis: 1.394, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 1.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.027, 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: 1311.0236, usercpu_time_millis: 4.498, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 3.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1315.6106, mean_absolute_error: 0.0243, 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: 0.0491, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.1545, scimark_benchmark: 1331.6162, usercpu_time_millis: 5.157, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 4.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1005.6765, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9158, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5148, scimark_benchmark: 1330.0245, usercpu_time_millis: 0.92, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9563, kappa: 0.9114, kb_relative_information_score: 1121.6956, mean_absolute_error: 0.1003, 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: 0.203, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3868, scimark_benchmark: 1319.6579, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1168.813, mean_absolute_error: 0.0891, 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: 0.1805, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.2794, scimark_benchmark: 1356.602, usercpu_time_millis: 28.254, usercpu_time_millis_testing: 2.928, usercpu_time_millis_training: 25.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8546, kappa: 0.7069, kb_relative_information_score: 658.9305, mean_absolute_error: 0.2825, 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: 0.5719, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.677, scimark_benchmark: 1299.1073, usercpu_time_millis: 4.279, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 3.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.943, kappa: 0.8844, kb_relative_information_score: 980.3139, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9435, predictive_accuracy: 0.9431, prior_entropy: 0.9912, recall: 0.9431, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.4636, scimark_benchmark: 1275.0553, usercpu_time_millis: 6.002, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 5.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9731, kappa: 0.9456, kb_relative_information_score: 1067.1383, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9736, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.372, scimark_benchmark: 1293.3979, usercpu_time_millis: 30.492, usercpu_time_millis_testing: 3.636, usercpu_time_millis_training: 26.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1276.7163, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.1946, scimark_benchmark: 1312.859, usercpu_time_millis: 33.562, usercpu_time_millis_testing: 2.208, usercpu_time_millis_training: 31.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1289.0503, mean_absolute_error: 0.0347, 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: 0.0702, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.2081, scimark_benchmark: 1280.8312, usercpu_time_millis: 26.393, usercpu_time_millis_testing: 1.598, usercpu_time_millis_training: 24.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1155.0233, mean_absolute_error: 0.0951, 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: 0.1926, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.144, root_relative_squared_error: 0.2898, scimark_benchmark: 1316.1855, usercpu_time_millis: 18.402, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 16.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.927, kappa: 0.8519, kb_relative_information_score: 1057.2879, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9273, predictive_accuracy: 0.9271, prior_entropy: 0.9912, recall: 0.9271, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4585, scimark_benchmark: 1323.4683, usercpu_time_millis: 17.851, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 16.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1174.5996, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.2706, scimark_benchmark: 1281.8318, usercpu_time_millis: 12.804, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 11.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1250.1082, mean_absolute_error: 0.0544, 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: 0.1101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.2021, scimark_benchmark: 1292.7192, usercpu_time_millis: 8.786, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 7.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9007, kappa: 0.7982, kb_relative_information_score: 638.2084, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9056, predictive_accuracy: 0.9016, prior_entropy: 0.9912, recall: 0.9016, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6521, scimark_benchmark: 1291.1762, usercpu_time_millis: 20.18, usercpu_time_millis_testing: 2.244, usercpu_time_millis_training: 17.936,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9144, kappa: 0.8264, kb_relative_information_score: 1002.11, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9152, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5167, scimark_benchmark: 1843.2687, usercpu_time_millis: 1.598, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.2338, 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: 1851.0585, usercpu_time_millis: 1.138, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1294.9252, mean_absolute_error: 0.0331, 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: 0.067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1807, scimark_benchmark: 2169.6679, usercpu_time_millis: 1.644, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 1.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0492, 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: 1863.9794, usercpu_time_millis: 2.141, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8856, kappa: 0.7686, kb_relative_information_score: 760.2773, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8857, predictive_accuracy: 0.8856, prior_entropy: 0.9912, recall: 0.8856, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.5949, scimark_benchmark: 1860.2646, usercpu_time_millis: 1.032, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8726, kappa: 0.7424, kb_relative_information_score: 640.4273, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.873, predictive_accuracy: 0.8724, prior_entropy: 0.9912, recall: 0.8724, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.67, scimark_benchmark: 1741.8855, usercpu_time_millis: 0.264, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1315.9274, mean_absolute_error: 0.023, 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: 0.0465, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.1738, scimark_benchmark: 1261.8655, usercpu_time_millis: 18.672, usercpu_time_millis_testing: 2.193, usercpu_time_millis_training: 16.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1285.8092, mean_absolute_error: 0.036, 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: 0.0728, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.2166, scimark_benchmark: 1082.8741, usercpu_time_millis: 8.717, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 8.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1262.2488, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0955, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.2168, scimark_benchmark: 1082.721, usercpu_time_millis: 1.133, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9489, kappa: 0.8965, kb_relative_information_score: 900.4782, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.9912, recall: 0.949, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.244, root_relative_squared_error: 0.4911, scimark_benchmark: 1264.5153, usercpu_time_millis: 3.129, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 2.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1311.3942, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0476, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.2215, scimark_benchmark: 1075.6355, usercpu_time_millis: 4.206, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 3.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.017, 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: 1066.4928, usercpu_time_millis: 1.576, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 1.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1157.2235, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3161, scimark_benchmark: 1105.2521, usercpu_time_millis: 7.335, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 6.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1313.2167, mean_absolute_error: 0.023, 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: 0.0466, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.2115, scimark_benchmark: 1852.0263, usercpu_time_millis: 7.023, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 6.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1321.9515, mean_absolute_error: 0.0199, 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: 0.0403, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.1782, scimark_benchmark: 1739.4775, usercpu_time_millis: 9.376, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 8.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1295.341, mean_absolute_error: 0.0319, 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: 0.0646, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2063, scimark_benchmark: 2142.2088, usercpu_time_millis: 8.335, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 7.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9167, kappa: 0.831, kb_relative_information_score: 1004.535, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9172, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5158, scimark_benchmark: 1759.8219, usercpu_time_millis: 9.077, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 8.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1172.6419, mean_absolute_error: 0.0875, 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: 0.1771, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.2766, scimark_benchmark: 1749.4138, usercpu_time_millis: 6.502, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 5.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1228.4123, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.2514, scimark_benchmark: 1760.5831, usercpu_time_millis: 5.692, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 5.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1109.2137, mean_absolute_error: 0.1136, 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: 0.2301, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3311, scimark_benchmark: 1761.683, usercpu_time_millis: 3.594, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 3.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.943, kappa: 0.8845, kb_relative_information_score: 923.1967, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9434, predictive_accuracy: 0.9431, prior_entropy: 0.9912, recall: 0.9431, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.4792, scimark_benchmark: 1761.683, usercpu_time_millis: 3.777, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 3.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1165.0826, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3198, scimark_benchmark: 1746.7024, usercpu_time_millis: 3.964, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 3.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1291.8968, mean_absolute_error: 0.0332, 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: 0.0673, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2111, scimark_benchmark: 1745.3654, usercpu_time_millis: 4.424, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 4.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9482, kappa: 0.895, kb_relative_information_score: 901.237, mean_absolute_error: 0.1956, 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: 0.396, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4906, scimark_benchmark: 1745.3654, usercpu_time_millis: 3.549, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 3.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1271.2236, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2068, scimark_benchmark: 1749.0061, usercpu_time_millis: 3.034, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 2.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 663.0029, mean_absolute_error: 0.2808, 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: 0.5685, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6798, scimark_benchmark: 1725.4997, usercpu_time_millis: 0.833, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1182.6967, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.2889, scimark_benchmark: 1784.1185, usercpu_time_millis: 2.629, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 2.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1220.4034, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.2732, scimark_benchmark: 1860.1976, usercpu_time_millis: 6.205, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 5.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1281.6285, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0765, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184, scimark_benchmark: 1740.457, usercpu_time_millis: 1.352, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 1.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1238.4322, mean_absolute_error: 0.0572, 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: 0.1159, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.24, scimark_benchmark: 1736.2938, usercpu_time_millis: 1.696, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 1.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1217.9709, mean_absolute_error: 0.0665, 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: 0.1346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.2566, scimark_benchmark: 1733.0143, usercpu_time_millis: 1.148, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 1.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1287.2538, mean_absolute_error: 0.0364, 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: 0.0738, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.1888, scimark_benchmark: 1746.3471, usercpu_time_millis: 0.489, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9054, kappa: 0.808, kb_relative_information_score: 899.6682, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9077, predictive_accuracy: 0.906, prior_entropy: 0.9912, recall: 0.906, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.54, scimark_benchmark: 1742.5561, usercpu_time_millis: 1.144, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.0117, 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: 1741.6387, usercpu_time_millis: 1.018, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.839,

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