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: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1330.2721, mean_absolute_error: 0.0174, 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: 0.0351, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.1514, scimark_benchmark: 1370.7835, usercpu_time_millis: 10.679, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 10.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1191.4237, mean_absolute_error: 0.0793, 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: 0.1606, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.2624, scimark_benchmark: 1376.3954, usercpu_time_millis: 0.451, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0421, 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: 1372.4647, usercpu_time_millis: 1.077, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1286.6352, mean_absolute_error: 0.0381, 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: 0.0771, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.1668, scimark_benchmark: 1374.2056, usercpu_time_millis: 1.837, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 1.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1137.1609, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9841, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3052, scimark_benchmark: 1377.8876, usercpu_time_millis: 2.087, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1122.9419, mean_absolute_error: 0.1083, 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: 0.2193, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3174, scimark_benchmark: 1375.5543, usercpu_time_millis: 6.372, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 5.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1331.2146, mean_absolute_error: 0.0156, 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: 0.0316, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.191, scimark_benchmark: 1381.3377, usercpu_time_millis: 9.447, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 9.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1258.4609, mean_absolute_error: 0.0471, 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: 0.0953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.2453, scimark_benchmark: 1378.4841, usercpu_time_millis: 6.711, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 6.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1013.3324, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9711, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4063, scimark_benchmark: 1373.109, usercpu_time_millis: 2.466, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 2.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1320.2352, mean_absolute_error: 0.022, 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: 0.0445, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.1567, scimark_benchmark: 1375.7593, usercpu_time_millis: 10.006, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 9.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8524, kappa: 0.7026, kb_relative_information_score: 733.1556, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8546, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7027, scimark_benchmark: 1374.4737, usercpu_time_millis: 3.73, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 3.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1324.1178, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.1525, scimark_benchmark: 1374.8435, usercpu_time_millis: 1.879, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.0844, 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: 1373.1759, usercpu_time_millis: 1.036, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1330.7258, mean_absolute_error: 0.0152, 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: 0.0308, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2092, scimark_benchmark: 1382.4199, usercpu_time_millis: 11.022, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 10.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1313.974, mean_absolute_error: 0.024, 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: 0.0485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.184, scimark_benchmark: 1380.1023, usercpu_time_millis: 9.757, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 9.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0991, 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: 1371.0718, usercpu_time_millis: 1.417, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 1.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1272.1804, mean_absolute_error: 0.0447, 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: 0.0905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.089, root_relative_squared_error: 0.1791, scimark_benchmark: 1373.7023, usercpu_time_millis: 7.995, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 7.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.0149, 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: 1374.2647, usercpu_time_millis: 2.455, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 2.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.8582, kappa: 0.714, kb_relative_information_score: 767.3717, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8599, predictive_accuracy: 0.8579, prior_entropy: 0.9912, recall: 0.8579, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6213, scimark_benchmark: 1369.6353, usercpu_time_millis: 3.777, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 3.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1273.1413, mean_absolute_error: 0.0433, 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: 0.0877, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.1945, scimark_benchmark: 1374.878, usercpu_time_millis: 2.301, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 2.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1276.5626, mean_absolute_error: 0.0408, 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: 0.0826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2091, scimark_benchmark: 1380.8159, usercpu_time_millis: 10.607, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 10.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1282.0992, mean_absolute_error: 0.0373, 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: 0.0754, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.221, scimark_benchmark: 1380.5439, usercpu_time_millis: 0.386, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9694, kappa: 0.9382, kb_relative_information_score: 1110.6666, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3596, scimark_benchmark: 1376.5175, usercpu_time_millis: 1.829, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1301.4302, mean_absolute_error: 0.0295, 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: 0.0597, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.1963, scimark_benchmark: 1381.2905, usercpu_time_millis: 3.012, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 2.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1281.432, mean_absolute_error: 0.0405, 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: 0.082, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.1708, scimark_benchmark: 1379.9761, usercpu_time_millis: 5.514, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 5.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1313.3444, mean_absolute_error: 0.0253, 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: 0.0513, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1557, scimark_benchmark: 1375.8683, usercpu_time_millis: 5.462, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 4.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.893, kappa: 0.7828, kb_relative_information_score: 515.9346, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.726, scimark_benchmark: 1379.5474, usercpu_time_millis: 1.852, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0257, 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: 1399.435, usercpu_time_millis: 0.804, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1308.2738, mean_absolute_error: 0.0276, 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: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.08, root_relative_squared_error: 0.1611, scimark_benchmark: 1383.1816, usercpu_time_millis: 5.254, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 4.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.926, kappa: 0.8498, kb_relative_information_score: 850.2823, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9279, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5262, scimark_benchmark: 1381.9557, usercpu_time_millis: 4.482, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 3.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1321.2527, mean_absolute_error: 0.0206, 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: 0.0416, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.1784, scimark_benchmark: 1379.5421, usercpu_time_millis: 0.557, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1242.9069, mean_absolute_error: 0.0561, 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: 0.1136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.2285, scimark_benchmark: 1385.6468, usercpu_time_millis: 6.85, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 6.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1330.3537, mean_absolute_error: 0.0173, 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: 0.0351, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.1497, scimark_benchmark: 1376.9573, usercpu_time_millis: 10.057, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 9.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.4648, 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: 1370.2662, usercpu_time_millis: 0.253, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1220.4347, mean_absolute_error: 0.0654, 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: 0.1325, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2547, scimark_benchmark: 1377.3814, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.072,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9694, kappa: 0.9382, kb_relative_information_score: 999.13, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4202, scimark_benchmark: 1419.1717, usercpu_time_millis: 1.805, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1324.4334, mean_absolute_error: 0.0203, 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: 0.041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.1462, scimark_benchmark: 1405.4133, usercpu_time_millis: 9.025, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 8.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9658, kappa: 0.9308, kb_relative_information_score: 990.7314, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4294, scimark_benchmark: 1369.1537, usercpu_time_millis: 4.913, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 4.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.1131, 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: 1372.085, usercpu_time_millis: 0.428, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8632, kappa: 0.7237, kb_relative_information_score: 663.6143, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8641, predictive_accuracy: 0.863, prior_entropy: 0.9912, recall: 0.863, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6668, scimark_benchmark: 1376.7716, usercpu_time_millis: 0.557, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1310.1437, mean_absolute_error: 0.0268, 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: 0.0543, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.1578, scimark_benchmark: 1379.8446, usercpu_time_millis: 9.731, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 9.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9547, kappa: 0.9083, kb_relative_information_score: 1145.5615, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9549, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3646, scimark_benchmark: 1383.5698, usercpu_time_millis: 8.182, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 7.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 735.351, mean_absolute_error: 0.2492, 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: 0.5045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6878, scimark_benchmark: 1375.6828, usercpu_time_millis: 2.678, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9408, kappa: 0.88, kb_relative_information_score: 1046.4274, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9412, predictive_accuracy: 0.941, prior_entropy: 0.9912, recall: 0.941, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4445, scimark_benchmark: 1378.0959, usercpu_time_millis: 4.564, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 4.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1288.2158, mean_absolute_error: 0.0372, 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: 0.0754, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.1676, scimark_benchmark: 1377.9664, usercpu_time_millis: 3.981, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 3.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0901, 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: 1372.8607, usercpu_time_millis: 0.548, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.929, kappa: 0.8559, kb_relative_information_score: 899.8048, mean_absolute_error: 0.1947, 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: 0.3943, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5006, scimark_benchmark: 1373.9535, usercpu_time_millis: 0.507, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9163, kappa: 0.8301, kb_relative_information_score: 761.5791, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9194, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.5813, scimark_benchmark: 1740.3952, usercpu_time_millis: 0.399, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1286.2559, mean_absolute_error: 0.0367, 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: 0.0742, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.097, root_relative_squared_error: 0.1952, scimark_benchmark: 1735.562, usercpu_time_millis: 1.832, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9416, kappa: 0.8816, kb_relative_information_score: 1099.7522, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9418, predictive_accuracy: 0.9417, prior_entropy: 0.9912, recall: 0.9417, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4084, scimark_benchmark: 1758.8539, usercpu_time_millis: 3.409, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 3.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9142, kappa: 0.8258, kb_relative_information_score: 860.6814, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9165, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5361, scimark_benchmark: 1756.861, usercpu_time_millis: 0.29, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9679, kappa: 0.9351, kb_relative_information_score: 1135.2721, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.968, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3537, scimark_benchmark: 1749.0406, usercpu_time_millis: 1.026, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.0298, 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: 1735.4422, usercpu_time_millis: 0.837, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9519, kappa: 0.9025, kb_relative_information_score: 892.5858, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9519, predictive_accuracy: 0.9519, prior_entropy: 0.9912, recall: 0.9519, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.4912, scimark_benchmark: 1751.3544, usercpu_time_millis: 0.269, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1256.2048, mean_absolute_error: 0.0471, 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: 0.0954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.258, scimark_benchmark: 1750.4475, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9134, kappa: 0.8241, kb_relative_information_score: 746.6049, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9164, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5926, scimark_benchmark: 1748.0598, usercpu_time_millis: 0.32, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1326.001, mean_absolute_error: 0.0193, 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: 0.0391, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.1535, scimark_benchmark: 1757.1162, usercpu_time_millis: 6.925, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 6.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8762, kappa: 0.7497, kb_relative_information_score: 670.069, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8765, predictive_accuracy: 0.8761, prior_entropy: 0.9912, recall: 0.8761, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6451, scimark_benchmark: 1754.2741, usercpu_time_millis: 3.232, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 2.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1233.3027, mean_absolute_error: 0.0603, 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: 0.122, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.2371, scimark_benchmark: 1750.9537, usercpu_time_millis: 4.948, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 4.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0715, 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: 1743.4678, usercpu_time_millis: 1.644, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 1.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1290.4466, mean_absolute_error: 0.034, 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: 0.0688, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.2076, scimark_benchmark: 1747.1969, usercpu_time_millis: 2.02, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1258.0859, mean_absolute_error: 0.0509, 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: 0.1031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.1935, scimark_benchmark: 1748.4638, usercpu_time_millis: 1.34, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1323.2412, mean_absolute_error: 0.0198, 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: 0.0401, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.1749, scimark_benchmark: 1728.8162, usercpu_time_millis: 5.085, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 4.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1004.5671, mean_absolute_error: 0.1431, 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: 0.2897, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.257, root_relative_squared_error: 0.5173, scimark_benchmark: 1747.4929, usercpu_time_millis: 6.226, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 5.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0794, 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: 1754.6748, usercpu_time_millis: 2.108, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 1.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8923, kappa: 0.7812, kb_relative_information_score: 494.4106, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8994, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7362, scimark_benchmark: 1737.8969, usercpu_time_millis: 2.832, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 2.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9548, kappa: 0.9084, kb_relative_information_score: 1029.4275, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9548, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4298, scimark_benchmark: 1746.3974, usercpu_time_millis: 4.296, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 3.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9694, kappa: 0.9382, kb_relative_information_score: 1006.2258, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4158, scimark_benchmark: 1748.7675, usercpu_time_millis: 0.909, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0501, 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: 1747.5976, usercpu_time_millis: 0.384, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.313,

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