OpenML
Supervised Classification on wine

Supervised Classification on wine

Task 2382 Supervised Classification wine 544 runs submitted
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  • study_1 study_107 study_123 study_41 study_50 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.2275, kb_relative_information_score: 0.1107, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0002, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9043, kappa: 0.8557, kb_relative_information_score: 152.6661, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9063, predictive_accuracy: 0.9045, prior_entropy: 1.5674, recall: 0.9045, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5196, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9438, kappa: 0.9147, kb_relative_information_score: 161.9772, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9439, predictive_accuracy: 0.9438, prior_entropy: 1.5674, recall: 0.9438, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3747, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.3596, kappa: 0.1208, kb_relative_information_score: 41.494, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7717, predictive_accuracy: 0.4663, prior_entropy: 1.5674, recall: 0.4663, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5965, root_relative_squared_error: 1.2734, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9268, kappa: 0.8892, kb_relative_information_score: 147.1162, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9278, predictive_accuracy: 0.927, prior_entropy: 1.5674, recall: 0.927, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4066, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 158.0502, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2828, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.3596, kappa: 0.1208, kb_relative_information_score: 41.494, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7717, predictive_accuracy: 0.4663, prior_entropy: 1.5674, recall: 0.4663, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5965, root_relative_squared_error: 1.2734, scimark_benchmark: 974.2014, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9887, kappa: 0.983, kb_relative_information_score: 174.0645, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.1799, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9607, kappa: 0.9406, kb_relative_information_score: 166.0946, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9629, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3044, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 158.0502, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2828, scimark_benchmark: 943.1009, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9043, kappa: 0.8557, kb_relative_information_score: 152.6661, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9063, predictive_accuracy: 0.9045, prior_entropy: 1.5674, recall: 0.9045, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5196, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9438, kappa: 0.9147, kb_relative_information_score: 161.9772, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9439, predictive_accuracy: 0.9438, prior_entropy: 1.5674, recall: 0.9438, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3747, scimark_benchmark: 608.4057, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.3596, kappa: 0.1208, kb_relative_information_score: 41.494, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7717, predictive_accuracy: 0.4663, prior_entropy: 1.5674, recall: 0.4663, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5965, root_relative_squared_error: 1.2734, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9268, kappa: 0.8892, kb_relative_information_score: 147.1162, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9278, predictive_accuracy: 0.927, prior_entropy: 1.5674, recall: 0.927, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4066, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9607, kappa: 0.9406, kb_relative_information_score: 166.0946, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9629, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3044, scimark_benchmark: 935.5664, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 158.0502, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2828, scimark_benchmark: 917.5013, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9944, kappa: 0.9915, kb_relative_information_score: 161.1203, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.5674, recall: 0.9944, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2461, scimark_benchmark: 1158.055, usercpu_time_millis: 1330, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9888, kappa: 0.983, kb_relative_information_score: 160.238, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9891, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.2588, scimark_benchmark: 931.9419, usercpu_time_millis: 570, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9944, kappa: 0.9915, kb_relative_information_score: 161.3492, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.5674, recall: 0.9944, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.114, root_relative_squared_error: 0.2433, scimark_benchmark: 939.7883, usercpu_time_millis: 270, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 159.8571, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2769, scimark_benchmark: 939.0589, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9831, kappa: 0.9744, kb_relative_information_score: 160.3485, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9832, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.2745, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.2275, kb_relative_information_score: 0.1107, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0002, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9094, kappa: 0.8645, kb_relative_information_score: 155.7068, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.913, predictive_accuracy: 0.9101, prior_entropy: 1.5674, recall: 0.9101, relative_absolute_error: 0.142, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.5005, scimark_benchmark: 936.1714, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9094, kappa: 0.8645, kb_relative_information_score: 154.9477, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.913, predictive_accuracy: 0.9101, prior_entropy: 1.5674, recall: 0.9101, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5078, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.915, kappa: 0.8732, kb_relative_information_score: 155.8857, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9213, predictive_accuracy: 0.9157, prior_entropy: 1.5674, recall: 0.9157, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4752, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8981, kappa: 0.8477, kb_relative_information_score: 150.0793, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9021, predictive_accuracy: 0.8989, prior_entropy: 1.5674, recall: 0.8989, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.5302, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8393, kappa: 0.7642, kb_relative_information_score: 129.6604, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8514, predictive_accuracy: 0.8427, prior_entropy: 1.5674, recall: 0.8427, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.59, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2275, kb_relative_information_score: 24.4253, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.633, root_relative_squared_error: 1.3514, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9269, kappa: 0.8892, kb_relative_information_score: 155.2791, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.927, predictive_accuracy: 0.927, prior_entropy: 1.5674, recall: 0.927, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3888, scimark_benchmark: 906.0884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9604, kappa: 0.9407, kb_relative_information_score: 140.5119, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9637, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3842, scimark_benchmark: 931.7994, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9607, kappa: 0.9406, kb_relative_information_score: 166.0946, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9629, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3044, scimark_benchmark: 1339.4412, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9438, kappa: 0.9147, kb_relative_information_score: 161.9772, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9439, predictive_accuracy: 0.9438, prior_entropy: 1.5674, recall: 0.9438, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3747, scimark_benchmark: 1331.2559, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.3596, kappa: 0.1208, kb_relative_information_score: 41.494, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7717, predictive_accuracy: 0.4663, prior_entropy: 1.5674, recall: 0.4663, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5965, root_relative_squared_error: 1.2734, scimark_benchmark: 1352.9101, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 1390.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9607, kappa: 0.9406, kb_relative_information_score: 166.0946, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9629, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3044, scimark_benchmark: 1352.9931, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9043, kappa: 0.8557, kb_relative_information_score: 152.6661, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9063, predictive_accuracy: 0.9045, prior_entropy: 1.5674, recall: 0.9045, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5196, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.3596, kappa: 0.1208, kb_relative_information_score: 41.494, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7717, predictive_accuracy: 0.4663, prior_entropy: 1.5674, recall: 0.4663, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5965, root_relative_squared_error: 1.2734, scimark_benchmark: 1350.4825, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 1408.6654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9607, kappa: 0.9406, kb_relative_information_score: 166.0946, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9629, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3044, scimark_benchmark: 1348.2804, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 158.0502, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2828, scimark_benchmark: 1278.9821, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.3596, kappa: 0.1208, kb_relative_information_score: 41.494, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7717, predictive_accuracy: 0.4663, prior_entropy: 1.5674, recall: 0.4663, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5965, root_relative_squared_error: 1.2734, scimark_benchmark: 1314.0283, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 158.0502, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2828, scimark_benchmark: 1260.1387, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9887, kappa: 0.983, kb_relative_information_score: 174.0645, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.1799, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 171.8092, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2177, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 158.0502, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2828, scimark_benchmark: 1326.8946, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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