Task
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: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0967, 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: 1340.2225, usercpu_time_millis: 1.23, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8517, kappa: 0.7011, kb_relative_information_score: 732.4709, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8538, predictive_accuracy: 0.8513, prior_entropy: 0.9912, recall: 0.8513, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6955, scimark_benchmark: 1287.0832, usercpu_time_millis: 0.67, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 971.3852, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9681, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4365, scimark_benchmark: 1239.6151, usercpu_time_millis: 4.55, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 4.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 739.3677, mean_absolute_error: 0.2473, 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: 0.5007, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6846, scimark_benchmark: 1209.6525, usercpu_time_millis: 3.24, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 2.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9182, kappa: 0.8342, kb_relative_information_score: 1003.4303, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9184, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5007, scimark_benchmark: 1301.8512, usercpu_time_millis: 1.87, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1186.3632, mean_absolute_error: 0.0783, 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: 0.1585, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.2967, scimark_benchmark: 1268.9069, usercpu_time_millis: 1.79, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0474, 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: 1337.5945, usercpu_time_millis: 1.2, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 1.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1230.8345, mean_absolute_error: 0.0628, 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: 0.1271, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2204, scimark_benchmark: 1326.3429, usercpu_time_millis: 4.46, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 4.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1326.0032, mean_absolute_error: 0.0194, 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: 0.0394, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.1502, scimark_benchmark: 1421.7493, usercpu_time_millis: 8.3, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 7.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8582, kappa: 0.714, kb_relative_information_score: 653.0309, mean_absolute_error: 0.2844, 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: 0.576, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6752, scimark_benchmark: 1362.6705, usercpu_time_millis: 0.11, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1277.6644, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.2029, scimark_benchmark: 1311.9179, usercpu_time_millis: 6.13, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 5.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1302.2272, mean_absolute_error: 0.0303, 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: 0.0613, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.1667, scimark_benchmark: 1266.458, usercpu_time_millis: 1.02, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1307.6962, mean_absolute_error: 0.0275, 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: 0.0557, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.1749, scimark_benchmark: 1320.5869, usercpu_time_millis: 13, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 12.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8936, kappa: 0.7845, kb_relative_information_score: 756.0581, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8936, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5965, scimark_benchmark: 1286.9357, usercpu_time_millis: 0.6, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9665, kappa: 0.9322, kb_relative_information_score: 964.5091, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4456, scimark_benchmark: 1290.9714, usercpu_time_millis: 3.14, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 2.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1269.847, mean_absolute_error: 0.0445, 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: 0.0902, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.201, scimark_benchmark: 1276.1543, usercpu_time_millis: 9.44, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 8.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1326.849, mean_absolute_error: 0.019, 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: 0.0385, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.1501, scimark_benchmark: 1283.4918, usercpu_time_millis: 10.63, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 10.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, 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: 1256.0201, usercpu_time_millis: 2.74, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 2.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0797, 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: 1271.8354, usercpu_time_millis: 0.81, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9163, kappa: 0.8301, kb_relative_information_score: 920.7705, mean_absolute_error: 0.1833, 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: 0.371, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5076, scimark_benchmark: 1306.2469, usercpu_time_millis: 3.87, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 3.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.864, kappa: 0.7253, kb_relative_information_score: 660.4127, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.865, predictive_accuracy: 0.8637, prior_entropy: 0.9912, recall: 0.8637, relative_absolute_error: 0.571, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6698, scimark_benchmark: 1289.7508, usercpu_time_millis: 1.55, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8604, kappa: 0.7182, kb_relative_information_score: 659.6938, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8617, predictive_accuracy: 0.8601, prior_entropy: 0.9912, recall: 0.8601, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6689, scimark_benchmark: 1268.4313, usercpu_time_millis: 0.41, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1231.6829, mean_absolute_error: 0.0607, 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: 0.1229, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.2409, scimark_benchmark: 1214.9813, usercpu_time_millis: 5.52, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1197.0872, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.2929, scimark_benchmark: 1320.5485, usercpu_time_millis: 5.55, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 5.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1334.6359, mean_absolute_error: 0.0154, 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: 0.0312, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.1519, scimark_benchmark: 1218.0512, usercpu_time_millis: 5.68, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 5.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1226.8519, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.2558, scimark_benchmark: 1240.8928, usercpu_time_millis: 1.27, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8894, kappa: 0.7753, kb_relative_information_score: 502.0677, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8961, predictive_accuracy: 0.8907, prior_entropy: 0.9912, recall: 0.8907, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7318, scimark_benchmark: 1303.0946, usercpu_time_millis: 2.32, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 2.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1188.0041, mean_absolute_error: 0.0792, 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: 0.1604, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2824, scimark_benchmark: 1254.829, usercpu_time_millis: 6.45, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 6.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1267.498, mean_absolute_error: 0.0455, 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: 0.0922, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.2029, scimark_benchmark: 1275.5589, usercpu_time_millis: 3.55, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 3.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1327.6749, mean_absolute_error: 0.0188, 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: 0.038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.1436, scimark_benchmark: 1343.8556, usercpu_time_millis: 2.44, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 2.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1258.4888, mean_absolute_error: 0.0485, 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: 0.0983, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.2246, scimark_benchmark: 1326.7473, usercpu_time_millis: 7.47, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 6.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9519, kappa: 0.9024, kb_relative_information_score: 1026.8753, mean_absolute_error: 0.1426, 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: 0.2888, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4324, scimark_benchmark: 1281.7139, usercpu_time_millis: 2.73, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 2.54,
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: 1250.7301, usercpu_time_millis: 1.34, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.893, kappa: 0.7828, kb_relative_information_score: 523.4925, mean_absolute_error: 0.3345, 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: 0.6772, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7214, scimark_benchmark: 1286.6983, usercpu_time_millis: 1.79, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.957, kappa: 0.9129, kb_relative_information_score: 1116.8878, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9912, recall: 0.957, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3757, scimark_benchmark: 1346.12, usercpu_time_millis: 2.84, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 2.67,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1248.2716, mean_absolute_error: 0.0538, 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: 0.109, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.2247, scimark_benchmark: 1757.4877, usercpu_time_millis: 1.059, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9752, kappa: 0.9499, kb_relative_information_score: 1238.3827, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.1097, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.2862, scimark_benchmark: 1860.1976, usercpu_time_millis: 0.643, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: 0.0475, 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: 1846.2505, usercpu_time_millis: 0.464, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1227.9738, mean_absolute_error: 0.0616, 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: 0.1248, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.2548, scimark_benchmark: 1869.7524, usercpu_time_millis: 2.648, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 2.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 753.009, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.853, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6724, scimark_benchmark: 1750.8515, usercpu_time_millis: 1.329, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 1.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1278.4141, mean_absolute_error: 0.0417, 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: 0.0845, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.1755, scimark_benchmark: 1812.5762, usercpu_time_millis: 3.056, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 2.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1024.6869, mean_absolute_error: 0.1354, 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: 0.2742, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5004, scimark_benchmark: 1863.5242, usercpu_time_millis: 2.581, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 2.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1004.9159, mean_absolute_error: 0.1429, 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: 0.2893, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5177, scimark_benchmark: 1873.214, usercpu_time_millis: 3.681, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 3.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9193, kappa: 0.8362, kb_relative_information_score: 951.3108, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.922, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.4914, scimark_benchmark: 1789.2584, usercpu_time_millis: 2.913, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 2.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1266.5678, mean_absolute_error: 0.0449, 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: 0.0909, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.2212, scimark_benchmark: 1866.0766, usercpu_time_millis: 7.946, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 7.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0674, 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: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1757.8623, usercpu_time_millis: 2.316, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 1.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1317.3865, mean_absolute_error: 0.0234, 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: 0.0474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.1542, scimark_benchmark: 1859.1559, usercpu_time_millis: 7.138, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 6.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1316.2842, mean_absolute_error: 0.0241, 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: 0.0487, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.1512, scimark_benchmark: 1774.8103, usercpu_time_millis: 3.88, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 3.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1323.8828, 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: 0.0778, root_relative_squared_error: 0.1565, scimark_benchmark: 1802.1978, usercpu_time_millis: 8.114, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 7.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1109.577, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3693, scimark_benchmark: 1839.0983, usercpu_time_millis: 6.194, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 5.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1174.972, mean_absolute_error: 0.0867, 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: 0.1755, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.2724, scimark_benchmark: 1732.223, usercpu_time_millis: 6.427, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 5.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1312.5619, mean_absolute_error: 0.0253, 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: 0.0512, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.1665, scimark_benchmark: 1771.7431, usercpu_time_millis: 6.653, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 6.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.0112, 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: 1759.0625, usercpu_time_millis: 1.461, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1297.6315, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1818, scimark_benchmark: 1803.4935, usercpu_time_millis: 5.602, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 5.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.1447, 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: 1819.3551, usercpu_time_millis: 1.22, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1304.1041, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.1669, scimark_benchmark: 1732.2763, usercpu_time_millis: 7.899, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 7.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1240.9567, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2429, scimark_benchmark: 1792.2605, usercpu_time_millis: 7.349, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 6.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1185.6482, mean_absolute_error: 0.0824, 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: 0.1668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.2604, scimark_benchmark: 1831.4094, usercpu_time_millis: 5.189, usercpu_time_millis_testing: 0.648, usercpu_time_millis_training: 4.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1232.4623, mean_absolute_error: 0.062, 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: 0.1256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.2201, scimark_benchmark: 1509.5792, usercpu_time_millis: 1.272, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8685, kappa: 0.7365, kb_relative_information_score: 863.0369, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8752, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.5953, scimark_benchmark: 1783.7623, usercpu_time_millis: 3.721, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 3.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1300.8923, mean_absolute_error: 0.0306, 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: 0.0619, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1764, scimark_benchmark: 1790.7232, usercpu_time_millis: 2.052, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1127.1338, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.3146, scimark_benchmark: 1749.4079, usercpu_time_millis: 4.241, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 3.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1312.0102, mean_absolute_error: 0.026, 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: 0.0526, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.156, scimark_benchmark: 1739.3674, usercpu_time_millis: 9.242, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 8.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1217.903, mean_absolute_error: 0.0666, 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: 0.1348, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.2538, scimark_benchmark: 1804.1893, usercpu_time_millis: 3.577, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 3.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1280.8746, mean_absolute_error: 0.0389, 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: 0.0789, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2012, scimark_benchmark: 2017.5892, usercpu_time_millis: 5.943, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 5.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1281.793, mean_absolute_error: 0.0393, 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: 0.0796, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.1893, scimark_benchmark: 1751.7919, usercpu_time_millis: 10.187, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 9.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1324.1936, mean_absolute_error: 0.0201, 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: 0.0406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1558, scimark_benchmark: 1811.6041, usercpu_time_millis: 5.525, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 5.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1102.0868, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3334, scimark_benchmark: 1846.9511, usercpu_time_millis: 5.438, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 4.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9189, kappa: 0.8356, kb_relative_information_score: 994.3653, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9193, predictive_accuracy: 0.9191, prior_entropy: 0.9912, recall: 0.9191, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5154, scimark_benchmark: 1810.1604, usercpu_time_millis: 4.334, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 3.982,

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