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: 0.9874, f_measure: 0.9305, kappa: 0.8588, kb_relative_information_score: 966.9294, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9319, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.4783, scimark_benchmark: 1314.9787, usercpu_time_millis: 4.77, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 4.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0632, 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: 1300.7021, usercpu_time_millis: 0.96, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1210.9095, mean_absolute_error: 0.0713, 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: 0.1444, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2404, scimark_benchmark: 1309.3315, usercpu_time_millis: 8.69, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 7.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1307.8208, mean_absolute_error: 0.0278, 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: 0.0562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.081, root_relative_squared_error: 0.163, scimark_benchmark: 1267.2337, usercpu_time_millis: 6.6, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 6.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1228.7997, mean_absolute_error: 0.0634, 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: 0.1284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2253, scimark_benchmark: 1258.2442, usercpu_time_millis: 2.72, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 2.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9702, kappa: 0.9396, kb_relative_information_score: 1126.0776, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9704, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3467, scimark_benchmark: 1299.3648, usercpu_time_millis: 5.33, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 4.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9171, kappa: 0.8316, kb_relative_information_score: 774.0967, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.92, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5737, scimark_benchmark: 1276.3543, usercpu_time_millis: 3.88, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 3.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1296.0883, mean_absolute_error: 0.033, 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: 0.0669, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.1724, scimark_benchmark: 1314.7709, usercpu_time_millis: 2.69, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 2.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8611, kappa: 0.7196, kb_relative_information_score: 660.7367, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8624, predictive_accuracy: 0.8608, prior_entropy: 0.9912, recall: 0.8608, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.669, scimark_benchmark: 1301.6626, usercpu_time_millis: 0.52, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8625, kappa: 0.7223, kb_relative_information_score: 672.2717, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8634, predictive_accuracy: 0.8622, prior_entropy: 0.9912, recall: 0.8622, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6631, scimark_benchmark: 1289.14, usercpu_time_millis: 3.47, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 2.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9107, kappa: 0.8188, kb_relative_information_score: 899.9078, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9118, predictive_accuracy: 0.9111, prior_entropy: 0.9912, recall: 0.9111, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.5383, scimark_benchmark: 1267.252, usercpu_time_millis: 2.55, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 2.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9781, kappa: 0.9557, kb_relative_information_score: 1233.0505, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.272, scimark_benchmark: 1303.8286, usercpu_time_millis: 2.64, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 2.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9548, kappa: 0.9085, kb_relative_information_score: 1092.3639, mean_absolute_error: 0.1139, 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: 0.2305, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.3998, scimark_benchmark: 1318.6539, usercpu_time_millis: 4.84, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 4.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1337.3045, mean_absolute_error: 0.0142, 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: 0.0288, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.073, root_relative_squared_error: 0.147, scimark_benchmark: 1276.471, usercpu_time_millis: 11.24, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 10.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1326.4632, mean_absolute_error: 0.0192, 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: 0.039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.1491, scimark_benchmark: 1284.0066, usercpu_time_millis: 3.37, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 3.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8953, kappa: 0.7874, kb_relative_information_score: 618.4717, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9016, predictive_accuracy: 0.8965, prior_entropy: 0.9912, recall: 0.8965, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6663, scimark_benchmark: 1275.5678, usercpu_time_millis: 0.34, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1270.4095, mean_absolute_error: 0.0434, 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: 0.0879, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.2126, scimark_benchmark: 1295.2722, usercpu_time_millis: 4.76, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 4.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9767, kappa: 0.9528, kb_relative_information_score: 1237.2466, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.279, scimark_benchmark: 1300.7821, usercpu_time_millis: 8.02, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 7.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9131, kappa: 0.8237, kb_relative_information_score: 948.2283, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9135, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5369, scimark_benchmark: 1346.7769, usercpu_time_millis: 5.06, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 4.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9408, kappa: 0.8799, kb_relative_information_score: 881.5452, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9414, predictive_accuracy: 0.941, prior_entropy: 0.9912, recall: 0.941, relative_absolute_error: 0.4113, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.5046, scimark_benchmark: 1277.7214, usercpu_time_millis: 5.42, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 4.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1248.9716, mean_absolute_error: 0.051, 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: 0.1033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2575, scimark_benchmark: 1267.1808, usercpu_time_millis: 3.35, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 3.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1221.5716, mean_absolute_error: 0.067, 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: 0.1356, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.2278, scimark_benchmark: 1284.9517, usercpu_time_millis: 2.23, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 2.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9745, kappa: 0.9485, kb_relative_information_score: 1076.667, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9749, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3556, scimark_benchmark: 1300.3792, usercpu_time_millis: 3.05, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 2.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9716, kappa: 0.9424, kb_relative_information_score: 1175.3019, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.329, scimark_benchmark: 1270.2793, usercpu_time_millis: 8.52, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 8.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9167, kappa: 0.831, kb_relative_information_score: 1016.2799, mean_absolute_error: 0.1389, 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: 0.2812, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.5044, scimark_benchmark: 1246.6166, usercpu_time_millis: 6.49, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 6.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.054, 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: 1351.8471, usercpu_time_millis: 0.89, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1264.8027, mean_absolute_error: 0.0446, 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: 0.0904, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2356, scimark_benchmark: 1255.8541, usercpu_time_millis: 2.02, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1273.1797, mean_absolute_error: 0.0422, 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: 0.0855, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2099, scimark_benchmark: 1294.0625, usercpu_time_millis: 3.66, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 3.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1257.4482, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.1937, scimark_benchmark: 1285.9694, usercpu_time_millis: 5.47, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 4.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1134.9332, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3088, scimark_benchmark: 1270.2902, usercpu_time_millis: 0.4, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1332.4868, mean_absolute_error: 0.0144, 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: 0.0291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.2132, scimark_benchmark: 1279.5975, usercpu_time_millis: 12.72, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 12.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1320.6218, mean_absolute_error: 0.0209, 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: 0.0424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.1786, scimark_benchmark: 1256.5019, usercpu_time_millis: 7.13, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 6.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1309.0784, mean_absolute_error: 0.027, 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: 0.0547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.1669, scimark_benchmark: 1256.9963, usercpu_time_millis: 4.31, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 4.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9694, kappa: 0.9382, kb_relative_information_score: 1107.7411, mean_absolute_error: 0.1107, 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: 0.2242, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3632, scimark_benchmark: 1292.8987, usercpu_time_millis: 0.76, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9171, kappa: 0.8316, kb_relative_information_score: 766.073, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.92, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.5781, scimark_benchmark: 1299.1292, usercpu_time_millis: 4.17, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 3.67,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1020.5741, mean_absolute_error: 0.137, 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: 0.2773, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5041, scimark_benchmark: 1258.3164, usercpu_time_millis: 4.65, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 4.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9059, kappa: 0.8088, kb_relative_information_score: 695.9009, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9105, predictive_accuracy: 0.9067, prior_entropy: 0.9912, recall: 0.9067, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6194, scimark_benchmark: 1252.9019, usercpu_time_millis: 2.53, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 2.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.965, kappa: 0.9292, kb_relative_information_score: 1159.4473, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9651, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3471, scimark_benchmark: 1250.498, usercpu_time_millis: 2.74, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 2.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0239, 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: 1287.8596, usercpu_time_millis: 2.9, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 2.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9022, kappa: 0.8013, kb_relative_information_score: 655.8072, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9067, predictive_accuracy: 0.9031, prior_entropy: 0.9912, recall: 0.9031, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6408, scimark_benchmark: 1267.1168, usercpu_time_millis: 2.84, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 2.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9148, kappa: 0.827, kb_relative_information_score: 936.9099, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9181, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5021, scimark_benchmark: 1278.2829, usercpu_time_millis: 1.48, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1220.9699, mean_absolute_error: 0.0673, 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: 0.1362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.2277, scimark_benchmark: 1058.3213, usercpu_time_millis: 8.852, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 7.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1313.8185, mean_absolute_error: 0.0252, 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: 0.051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.1536, scimark_benchmark: 1138.8789, usercpu_time_millis: 12.488, usercpu_time_millis_testing: 1.272, usercpu_time_millis_training: 11.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1215.5037, mean_absolute_error: 0.0696, 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: 0.1409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.2329, scimark_benchmark: 1198.7258, usercpu_time_millis: 6.045, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 5.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9621, kappa: 0.9233, kb_relative_information_score: 976.0374, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 0.9912, recall: 0.9621, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4421, scimark_benchmark: 1207.3262, usercpu_time_millis: 3.902, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 3.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1232.8237, mean_absolute_error: 0.0606, 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: 0.1226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.118, root_relative_squared_error: 0.2375, scimark_benchmark: 1131.564, usercpu_time_millis: 3.997, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 3.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: 0.1956, 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: 1011.5413, usercpu_time_millis: 0.324, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.946, kappa: 0.8906, kb_relative_information_score: 1077.6211, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9461, predictive_accuracy: 0.9461, prior_entropy: 0.9912, recall: 0.9461, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4151, scimark_benchmark: 1070.8306, usercpu_time_millis: 10.734, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 9.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1271.1645, mean_absolute_error: 0.0451, 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: 0.0914, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1806, scimark_benchmark: 1073.2064, usercpu_time_millis: 2.078, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9694, kappa: 0.9381, kb_relative_information_score: 1105.7647, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9695, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3617, scimark_benchmark: 1105.2898, usercpu_time_millis: 5.621, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 5.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.013, 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: 1082.8394, usercpu_time_millis: 3.348, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 2.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8603, kappa: 0.7176, kb_relative_information_score: 612.2029, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8608, predictive_accuracy: 0.8601, prior_entropy: 0.9912, recall: 0.8601, relative_absolute_error: 0.6095, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.683, scimark_benchmark: 1051.4146, usercpu_time_millis: 1.24, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1230.6922, mean_absolute_error: 0.0586, 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: 0.1186, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2739, scimark_benchmark: 1190.351, usercpu_time_millis: 11.554, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 10.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1176.526, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.2948, scimark_benchmark: 1217.8037, usercpu_time_millis: 8.067, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 7.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.0467, 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: 1107.801, usercpu_time_millis: 1.292, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 1.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.1167, 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: 1132.9331, usercpu_time_millis: 2.008, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9167, kappa: 0.8311, kb_relative_information_score: 1004.1346, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.917, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5093, scimark_benchmark: 1103.94, usercpu_time_millis: 7.912, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 6.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9132, kappa: 0.8243, kb_relative_information_score: 923.1475, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9132, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.3587, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.5451, scimark_benchmark: 1145.0523, usercpu_time_millis: 5.877, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 5.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1328.7631, mean_absolute_error: 0.0183, 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: 0.037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.1425, scimark_benchmark: 1122.448, usercpu_time_millis: 5.647, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 5.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 615.2191, mean_absolute_error: 0.2997, 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: 0.6069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6826, scimark_benchmark: 1123.7007, usercpu_time_millis: 3.037, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 2.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.893, kappa: 0.7828, kb_relative_information_score: 496.4991, mean_absolute_error: 0.3443, 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: 0.6971, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7354, scimark_benchmark: 1115.4603, usercpu_time_millis: 1.119, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1327.1338, mean_absolute_error: 0.0189, 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: 0.0383, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.1492, scimark_benchmark: 1213.7021, usercpu_time_millis: 16.501, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 15.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.0751, 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: 1208.6673, usercpu_time_millis: 3.09, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 2.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8792, kappa: 0.7557, kb_relative_information_score: 716.4242, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8796, predictive_accuracy: 0.879, prior_entropy: 0.9912, recall: 0.879, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6189, scimark_benchmark: 983.8884, usercpu_time_millis: 5.945, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 5.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8524, kappa: 0.7026, kb_relative_information_score: 733.467, mean_absolute_error: 0.2511, 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: 0.5084, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7037, scimark_benchmark: 1091.3803, usercpu_time_millis: 6.057, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 5.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1231.451, mean_absolute_error: 0.0627, 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: 0.127, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2175, scimark_benchmark: 1097.4168, usercpu_time_millis: 9.786, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 8.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1202.0557, mean_absolute_error: 0.0748, 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: 0.1514, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2532, scimark_benchmark: 924.1388, usercpu_time_millis: 1.126, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9665, kappa: 0.9321, kb_relative_information_score: 1153.5693, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3519, scimark_benchmark: 1053.7963, usercpu_time_millis: 5.121, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 4.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8553, kappa: 0.7083, kb_relative_information_score: 658.4927, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8572, predictive_accuracy: 0.855, prior_entropy: 0.9912, recall: 0.855, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6733, scimark_benchmark: 1107.929, usercpu_time_millis: 3.644, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 3.089,

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