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: 0.9761, f_measure: 0.9139, kappa: 0.8254, kb_relative_information_score: 889.9079, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.914, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5324, scimark_benchmark: 2152.1543, usercpu_time_millis: 7.198, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 7.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1292.3867, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9843, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2051, scimark_benchmark: 1872.4881, usercpu_time_millis: 3.015, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9569, kappa: 0.9127, kb_relative_information_score: 1034.8607, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9571, predictive_accuracy: 0.957, prior_entropy: 0.9912, recall: 0.957, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4137, scimark_benchmark: 1774.1874, usercpu_time_millis: 4.755, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 4.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9262, kappa: 0.8503, kb_relative_information_score: 780.4301, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9267, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.5673, scimark_benchmark: 1878.7854, usercpu_time_millis: 5.425, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 5.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1322.9253, mean_absolute_error: 0.0194, 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: 0.0392, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.1769, scimark_benchmark: 1872.4881, usercpu_time_millis: 6.002, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 5.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 1265.5193, mean_absolute_error: 0.0452, 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: 0.0915, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.2202, scimark_benchmark: 1708.2416, usercpu_time_millis: 8.812, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 8.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1254.6842, mean_absolute_error: 0.0491, 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: 0.0994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2356, scimark_benchmark: 1873.4805, usercpu_time_millis: 5.176, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 5.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9651, kappa: 0.9293, kb_relative_information_score: 976.5335, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9653, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4237, scimark_benchmark: 1857.5664, usercpu_time_millis: 7.198, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 7.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9341, kappa: 0.8663, kb_relative_information_score: 908.1618, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9356, predictive_accuracy: 0.9344, prior_entropy: 0.9912, recall: 0.9344, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4987, scimark_benchmark: 1834.6274, usercpu_time_millis: 3.359, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1218.5103, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9824, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.2503, scimark_benchmark: 1764.622, usercpu_time_millis: 4.221, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 4.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 1305.2664, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9912, recall: 0.9964, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.077, root_relative_squared_error: 0.155, scimark_benchmark: 1873.5293, usercpu_time_millis: 16.144, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 15.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9694, kappa: 0.938, kb_relative_information_score: 1092.6581, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3614, scimark_benchmark: 1873.4078, usercpu_time_millis: 6.072, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 6.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9152, kappa: 0.8278, kb_relative_information_score: 727.0577, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.916, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6026, scimark_benchmark: 1745.5268, usercpu_time_millis: 0.651, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9782, kappa: 0.9558, kb_relative_information_score: 1216.1255, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9784, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.2684, scimark_benchmark: 1865.5787, usercpu_time_millis: 4.535, usercpu_time_millis_testing: 0.002, usercpu_time_millis_training: 4.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8705, kappa: 0.7371, kb_relative_information_score: 562.1058, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8747, predictive_accuracy: 0.8717, prior_entropy: 0.9912, recall: 0.8717, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7029, scimark_benchmark: 1849.4099, usercpu_time_millis: 4.699, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 4.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1162.7889, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.2863, scimark_benchmark: 1861.1136, usercpu_time_millis: 8.65, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 8.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.3966, kb_relative_information_score: 15.1089, mean_absolute_error: 0.49, 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: 0.9921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9865, scimark_benchmark: 1861.4051, usercpu_time_millis: 9.567, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 9.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9229, kappa: 0.8435, kb_relative_information_score: 880.3356, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9262, predictive_accuracy: 0.9235, prior_entropy: 0.9912, recall: 0.9235, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5253, scimark_benchmark: 1863.4543, usercpu_time_millis: 2.716, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 2.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9578, kappa: 0.9145, kb_relative_information_score: 1101.9058, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9578, predictive_accuracy: 0.9577, prior_entropy: 0.9912, recall: 0.9577, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.3801, scimark_benchmark: 1843.6719, usercpu_time_millis: 13.118, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 13.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9262, kappa: 0.8503, kb_relative_information_score: 779.7656, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9267, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.5678, scimark_benchmark: 1872.4881, usercpu_time_millis: 8.271, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 8.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8705, kappa: 0.7382, kb_relative_information_score: 382.9295, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8711, predictive_accuracy: 0.8703, prior_entropy: 0.9912, recall: 0.8703, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7944, scimark_benchmark: 1864.5074, usercpu_time_millis: 14.108, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 14.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9767, kappa: 0.9529, kb_relative_information_score: 975.1225, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9772, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4156, scimark_benchmark: 1869.1029, usercpu_time_millis: 7.972, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 7.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1305.1665, mean_absolute_error: 0.0295, 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: 0.0597, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.1555, scimark_benchmark: 1874.0573, usercpu_time_millis: 7.187, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 7.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9723, kappa: 0.9441, kb_relative_information_score: 946.9853, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9727, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4367, scimark_benchmark: 1760.5487, usercpu_time_millis: 1.144, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 1.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8613, kappa: 0.7184, kb_relative_information_score: 501.0347, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8675, predictive_accuracy: 0.863, prior_entropy: 0.9912, recall: 0.863, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7339, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.563, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 1.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 1241.4336, mean_absolute_error: 0.0561, 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: 0.1136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2357, scimark_benchmark: 1871.8506, usercpu_time_millis: 0.969, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1289.9702, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9843, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2075, scimark_benchmark: 1878.7854, usercpu_time_millis: 6.36, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 6.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1331.6915, mean_absolute_error: 0.0154, 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: 0.0312, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.085, root_relative_squared_error: 0.1711, scimark_benchmark: 1870.1619, usercpu_time_millis: 2.414, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 2.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9723, kappa: 0.944, kb_relative_information_score: 1124.3054, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9725, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3323, scimark_benchmark: 1872.4881, usercpu_time_millis: 8.861, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 8.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9767, kappa: 0.9529, kb_relative_information_score: 1204.6281, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.2773, scimark_benchmark: 1830.582, usercpu_time_millis: 6.795, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 6.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1283.3047, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9843, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2133, scimark_benchmark: 1824.3543, usercpu_time_millis: 5.496, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 5.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1316.197, mean_absolute_error: 0.0224, 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: 0.0454, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.182, scimark_benchmark: 1765.9582, usercpu_time_millis: 10.843, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 10.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 1299.6683, mean_absolute_error: 0.0293, 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: 0.0594, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.1987, scimark_benchmark: 2130.4579, usercpu_time_millis: 3.79, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8523, kappa: 0.7004, kb_relative_information_score: 280.0805, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8639, predictive_accuracy: 0.855, prior_entropy: 0.9912, recall: 0.855, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8507, scimark_benchmark: 1875.7685, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.482,
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: 1872.0299, usercpu_time_millis: 5.888, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 5.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1168.0796, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.283, scimark_benchmark: 1750.3253, usercpu_time_millis: 2.266, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1254.8541, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2385, scimark_benchmark: 1845.1936, usercpu_time_millis: 18.262, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 18.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1326.4242, mean_absolute_error: 0.0178, 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: 0.0359, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.174, scimark_benchmark: 1857.2363, usercpu_time_millis: 4.654, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 4.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9001, kappa: 0.7976, kb_relative_information_score: 715.6474, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9001, predictive_accuracy: 0.9001, prior_entropy: 0.9912, recall: 0.9001, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6192, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.076, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8537, kappa: 0.7029, kb_relative_information_score: 439.3016, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8613, predictive_accuracy: 0.8557, prior_entropy: 0.9912, recall: 0.8557, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7664, scimark_benchmark: 1868.7112, usercpu_time_millis: 8.019, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 8.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1295.7045, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9843, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.099, root_relative_squared_error: 0.1992, scimark_benchmark: 1760.3648, usercpu_time_millis: 2.603, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 2.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1332.0343, 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: 0.0309, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.085, root_relative_squared_error: 0.1711, scimark_benchmark: 1875.6591, usercpu_time_millis: 5.706, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 5.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9672, kappa: 0.9335, kb_relative_information_score: 1110.0931, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3577, scimark_benchmark: 1744.6884, usercpu_time_millis: 2.338, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 2.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9146, kappa: 0.827, kb_relative_information_score: 942.5387, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9147, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5069, scimark_benchmark: 1873.4078, usercpu_time_millis: 9.945, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 9.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1319.2213, mean_absolute_error: 0.0211, 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: 0.0427, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.1798, scimark_benchmark: 1877.289, usercpu_time_millis: 7.87, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 7.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 1303.8395, mean_absolute_error: 0.0276, 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: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.1944, scimark_benchmark: 1854.3038, usercpu_time_millis: 1.495, usercpu_time_millis_testing: 0.002, usercpu_time_millis_training: 1.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9796, kappa: 0.9588, kb_relative_information_score: 1151.6343, mean_absolute_error: 0.0955, 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: 0.1934, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.2982, scimark_benchmark: 1873.8719, usercpu_time_millis: 2.783, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 2.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1327.88, mean_absolute_error: 0.0172, 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: 0.0348, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.1728, scimark_benchmark: 1876.6882, usercpu_time_millis: 6.424, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 6.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1306.4767, 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: 1856.2907, usercpu_time_millis: 3.897, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 3.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: 0.0098, 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: 1873.4078, usercpu_time_millis: 16.194, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 16.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9833, kappa: 0.9662, kb_relative_information_score: 1287.7341, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9837, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.205, scimark_benchmark: 1877.8658, usercpu_time_millis: 8.461, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 8.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1243.2164, mean_absolute_error: 0.055, 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: 0.1114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2368, scimark_benchmark: 1872.4881, usercpu_time_millis: 2.876, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 2.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9511, kappa: 0.9007, kb_relative_information_score: 995.3127, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9515, predictive_accuracy: 0.9512, prior_entropy: 0.9912, recall: 0.9512, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4382, scimark_benchmark: 1755.7817, usercpu_time_millis: 4.412, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1315.1652, mean_absolute_error: 0.0227, 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: 0.0459, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.1839, scimark_benchmark: 1873.4078, usercpu_time_millis: 3.265, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9643, kappa: 0.9278, kb_relative_information_score: 877.504, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.9912, recall: 0.9643, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.4866, scimark_benchmark: 1871.9601, usercpu_time_millis: 1.877, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 1.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1206.8604, mean_absolute_error: 0.0731, 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: 0.148, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.2449, scimark_benchmark: 1872.4881, usercpu_time_millis: 17.069, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 16.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9592, kappa: 0.9174, kb_relative_information_score: 912.7712, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.9912, recall: 0.9592, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.4671, scimark_benchmark: 1869.1727, usercpu_time_millis: 9.122, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 9.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.913, kappa: 0.8235, kb_relative_information_score: 633.6211, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9136, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6553, scimark_benchmark: 1872.8797, usercpu_time_millis: 16.91, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 16.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1312.8773, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.092, root_relative_squared_error: 0.1852, scimark_benchmark: 1860.595, usercpu_time_millis: 8.438, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 8.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: 0.1814, 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: 0.9998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1869.8223, usercpu_time_millis: 5.947, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 5.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1322.3172, mean_absolute_error: 0.0196, 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: 0.0396, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.1775, scimark_benchmark: 2162.5074, usercpu_time_millis: 3.797, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 3.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1155.8072, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.2911, scimark_benchmark: 1743.823, usercpu_time_millis: 8.381, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 8.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 968.4078, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4343, scimark_benchmark: 1877.8841, usercpu_time_millis: 8.692, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 8.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1308.5674, mean_absolute_error: 0.0258, 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: 0.0522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.1883, scimark_benchmark: 1867.7991, usercpu_time_millis: 11.215, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 11.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9458, kappa: 0.8901, kb_relative_information_score: 982.53, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9473, predictive_accuracy: 0.9461, prior_entropy: 0.9912, recall: 0.9461, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4572, scimark_benchmark: 1860.4231, usercpu_time_millis: 0.309, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 0.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9687, kappa: 0.9366, kb_relative_information_score: 861.0864, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9688, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.4967, scimark_benchmark: 1768.6501, usercpu_time_millis: 4.281, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 4.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9342, kappa: 0.8666, kb_relative_information_score: 804.0467, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9348, predictive_accuracy: 0.9344, prior_entropy: 0.9912, recall: 0.9344, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.5581, scimark_benchmark: 1859.5577, usercpu_time_millis: 10.956, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 10.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9067, kappa: 0.8106, kb_relative_information_score: 799.133, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9102, predictive_accuracy: 0.9074, prior_entropy: 0.9912, recall: 0.9074, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.5727, scimark_benchmark: 1756.4554, usercpu_time_millis: 3.344, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.339,

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