OpenML
Supervised Classification on mv

Supervised Classification on mv

Task 3745 Supervised Classification mv 352 runs submitted
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  • study_1 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9969, kappa: 0.9935, kb_relative_information_score: 40497.5485, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9729, recall: 0.9969, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1142,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9051, kappa: 0.8049, kb_relative_information_score: 30524.2458, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9092, predictive_accuracy: 0.9045, prior_entropy: 0.9729, recall: 0.9045, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5332, scimark_benchmark: 1359.3473, usercpu_time_millis: 620, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.995, kb_relative_information_score: 40234.998, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9729, recall: 0.9976, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.0846, scimark_benchmark: 1275.2813, usercpu_time_millis: 17770, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 17690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 40564.1738, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9729, recall: 0.9993, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0295, root_relative_squared_error: 0.0601, scimark_benchmark: 1317.6172, usercpu_time_millis: 3240, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9316, kappa: 0.858, kb_relative_information_score: 34876.0347, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9317, predictive_accuracy: 0.9316, prior_entropy: 0.9729, recall: 0.9316, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5331, scimark_benchmark: 1372.4463, usercpu_time_millis: 92390, usercpu_time_millis_testing: 92100, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9908, kappa: 0.9809, kb_relative_information_score: 39106.3049, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9908, predictive_accuracy: 0.9908, prior_entropy: 0.9729, recall: 0.9908, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1818, scimark_benchmark: 992.6519, usercpu_time_millis: 18130, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 18000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9965, kappa: 0.9928, kb_relative_information_score: 40395.8065, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.9729, recall: 0.9965, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.1172, scimark_benchmark: 649.9726, usercpu_time_millis: 19390, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 19340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9963, kappa: 0.9924, kb_relative_information_score: 40451.0839, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 0.9729, recall: 0.9963, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.1236, scimark_benchmark: 1618.1738, usercpu_time_millis: 9796.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 9765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9982, kappa: 0.9963, kb_relative_information_score: 40613.71, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.9729, recall: 0.9982, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.0863, scimark_benchmark: 1618.1738, usercpu_time_millis: 3078.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 3046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9966, kappa: 0.9929, kb_relative_information_score: 40384.2304, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9729, recall: 0.9966, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1146, scimark_benchmark: 1925.3565, usercpu_time_millis: 781.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9977, kappa: 0.9952, kb_relative_information_score: 40084.5696, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.9729, recall: 0.9977, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.1021, scimark_benchmark: 1925.3565, usercpu_time_millis: 16125, usercpu_time_millis_testing: 671.875, usercpu_time_millis_training: 15453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9917, kappa: 0.9828, kb_relative_information_score: 39634.2619, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.9729, recall: 0.9917, relative_absolute_error: 0.0299, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.1603, scimark_benchmark: 1925.3565, usercpu_time_millis: 1000, usercpu_time_millis_testing: 187.5, usercpu_time_millis_training: 812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9971, kappa: 0.994, kb_relative_information_score: 40499.9867, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9729, recall: 0.9971, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1059, scimark_benchmark: 1925.3565, usercpu_time_millis: 859.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9051, kappa: 0.8049, kb_relative_information_score: 30524.2458, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9092, predictive_accuracy: 0.9045, prior_entropy: 0.9729, recall: 0.9045, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5332, scimark_benchmark: 1925.3565, usercpu_time_millis: 375, usercpu_time_millis_testing: 125, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9963, kappa: 0.9923, kb_relative_information_score: 40448.9718, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 0.9729, recall: 0.9963, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.1241, scimark_benchmark: 1925.3565, usercpu_time_millis: 8000, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 7953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9982, kappa: 0.9963, kb_relative_information_score: 40613.71, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.9729, recall: 0.9982, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.0863, scimark_benchmark: 1925.3565, usercpu_time_millis: 2765.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 2734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9955, kb_relative_information_score: 40254.2722, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9729, recall: 0.9978, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0388, root_relative_squared_error: 0.0791, scimark_benchmark: 1925.3565, usercpu_time_millis: 11390.625, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 11343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 40564.1738, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9729, recall: 0.9993, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0295, root_relative_squared_error: 0.0601, scimark_benchmark: 1925.3565, usercpu_time_millis: 1843.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 1796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9316, kappa: 0.858, kb_relative_information_score: 34876.0347, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9317, predictive_accuracy: 0.9316, prior_entropy: 0.9729, recall: 0.9316, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5331, scimark_benchmark: 1925.3565, usercpu_time_millis: 80421.875, usercpu_time_millis_testing: 80187.5, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9908, kappa: 0.9809, kb_relative_information_score: 39106.3049, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9908, predictive_accuracy: 0.9908, prior_entropy: 0.9729, recall: 0.9908, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1818, scimark_benchmark: 1892.0925, usercpu_time_millis: 23625, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 23531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9966, kappa: 0.9929, kb_relative_information_score: 40399.9707, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9729, recall: 0.9966, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.1175, scimark_benchmark: 1892.0925, usercpu_time_millis: 16562.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 16531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9966, kappa: 0.9929, kb_relative_information_score: 40384.2304, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9729, recall: 0.9966, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1146, scimark_benchmark: 1892.0925, usercpu_time_millis: 656.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.995, kb_relative_information_score: 40080.52, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9729, recall: 0.9976, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.103, scimark_benchmark: 1892.0925, usercpu_time_millis: 13968.75, usercpu_time_millis_testing: 531.25, usercpu_time_millis_training: 13437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9917, kappa: 0.9828, kb_relative_information_score: 39634.2619, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.9729, recall: 0.9917, relative_absolute_error: 0.0299, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.1603, scimark_benchmark: 1892.0925, usercpu_time_millis: 718.75, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9971, kappa: 0.994, kb_relative_information_score: 40499.9867, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9729, recall: 0.9971, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1059, scimark_benchmark: 1892.0925, usercpu_time_millis: 781.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 40564.1738, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9729, recall: 0.9993, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0295, root_relative_squared_error: 0.0601, scimark_benchmark: 1834.908, usercpu_time_millis: 2000, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 1937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9969, kappa: 0.9935, kb_relative_information_score: 40422.1888, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9729, recall: 0.9969, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1121, scimark_benchmark: 1834.908, usercpu_time_millis: 9625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 9593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9975, kappa: 0.9949, kb_relative_information_score: 40235.977, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9729, recall: 0.9975, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0429, root_relative_squared_error: 0.0874, scimark_benchmark: 1834.908, usercpu_time_millis: 10812.5, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 10765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9908, kappa: 0.9809, kb_relative_information_score: 39106.3049, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9908, predictive_accuracy: 0.9908, prior_entropy: 0.9729, recall: 0.9908, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1818, scimark_benchmark: 1834.908, usercpu_time_millis: 16484.375, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 16437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9908, kappa: 0.9809, kb_relative_information_score: 39106.3049, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9908, predictive_accuracy: 0.9908, prior_entropy: 0.9729, recall: 0.9908, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1818, scimark_benchmark: 1788.6668, usercpu_time_millis: 18875, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 18781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9846, kappa: 0.9681, kb_relative_information_score: 38603.5679, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9848, predictive_accuracy: 0.9846, prior_entropy: 0.9729, recall: 0.9846, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.2179, scimark_benchmark: 1788.6668, usercpu_time_millis: 8359.375, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 8265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.991, kappa: 0.9813, kb_relative_information_score: 39689.3645, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 0.9729, recall: 0.991, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1831, scimark_benchmark: 1788.6668, usercpu_time_millis: 11734.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 11718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8643, kappa: 0.7279, kb_relative_information_score: 24440.0455, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.888, predictive_accuracy: 0.8631, prior_entropy: 0.9729, recall: 0.8631, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6525, scimark_benchmark: 1788.6668, usercpu_time_millis: 8421.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 8390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8546, kappa: 0.6971, kb_relative_information_score: 24701.6765, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.8545, predictive_accuracy: 0.855, prior_entropy: 0.9729, recall: 0.855, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6454, scimark_benchmark: 1788.6668, usercpu_time_millis: 890.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8556, kappa: 0.6993, kb_relative_information_score: 28374.5114, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.8555, predictive_accuracy: 0.8561, prior_entropy: 0.9729, recall: 0.8561, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7733, scimark_benchmark: 1788.6668, usercpu_time_millis: 5609.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 5593.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9835, kappa: 0.9656, kb_relative_information_score: 39344.3815, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 0.9729, recall: 0.9835, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.2621, usercpu_time_millis: 136.817, usercpu_time_millis_testing: 1.385, usercpu_time_millis_training: 135.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.997, kappa: 0.9937, kb_relative_information_score: 40505.9966, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.9729, recall: 0.997, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1124, usercpu_time_millis: 277.554, usercpu_time_millis_testing: 4.105, usercpu_time_millis_training: 273.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9975, kappa: 0.9948, kb_relative_information_score: 40552.4612, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9729, recall: 0.9975, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.05, root_relative_squared_error: 0.102, usercpu_time_millis: 228.432, usercpu_time_millis_testing: 1.279, usercpu_time_millis_training: 227.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9983, kappa: 0.9964, kb_relative_information_score: 40620.0461, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.9729, recall: 0.9983, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0414, root_relative_squared_error: 0.0845, usercpu_time_millis: 1501.803, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 1501.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9996, kb_relative_information_score: 40753.1038, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9729, recall: 0.9998, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0131, root_relative_squared_error: 0.0267, usercpu_time_millis: 23.35, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 23.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9498, kappa: 0.8955, kb_relative_information_score: 36455.1281, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9729, recall: 0.9499, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4562, usercpu_time_millis: 1031.215, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1031.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9962, kappa: 0.9921, kb_relative_information_score: 40440.5237, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9729, recall: 0.9962, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.1257, usercpu_time_millis: 15.48, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 14.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7962, kappa: 0.5839, kb_relative_information_score: 23069.0986, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.8048, predictive_accuracy: 0.7944, prior_entropy: 0.9729, recall: 0.7944, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9242, usercpu_time_millis: 3.588, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 3.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.5988, kappa: 0.2177, kb_relative_information_score: 12498.4017, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.7674, predictive_accuracy: 0.6717, prior_entropy: 0.9729, recall: 0.6717, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.573, root_relative_squared_error: 1.168, usercpu_time_millis: 7.719, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 7.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9051, kappa: 0.8049, kb_relative_information_score: 32541.5414, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9092, predictive_accuracy: 0.9045, prior_entropy: 0.9729, recall: 0.9045, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6301, usercpu_time_millis: 19.71, usercpu_time_millis_testing: 18.479, usercpu_time_millis_training: 1.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9999, kappa: 0.9997, kb_relative_information_score: 40757.3278, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9729, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0111, root_relative_squared_error: 0.0226, usercpu_time_millis: 13.503, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 13.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.995, kappa: 0.9896, kb_relative_information_score: 40337.0344, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9729, recall: 0.995, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.1442, usercpu_time_millis: 130.907, usercpu_time_millis_testing: 9.725, usercpu_time_millis_training: 121.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.993, kb_relative_information_score: 40478.5402, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9729, recall: 0.9966, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1182, usercpu_time_millis: 151.693, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 151.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9996, kb_relative_information_score: 40753.1038, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9729, recall: 0.9998, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0131, root_relative_squared_error: 0.0267, usercpu_time_millis: 26.496, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 26.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9524, kappa: 0.901, kb_relative_information_score: 36681.115, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.9729, recall: 0.9525, relative_absolute_error: 0.0986, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4441, usercpu_time_millis: 3.481, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 3.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.956, kappa: 0.9087, kb_relative_information_score: 36983.1349, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 0.9729, recall: 0.956, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4274, usercpu_time_millis: 33.921, usercpu_time_millis_testing: 33.781, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9973, kappa: 0.9943, kb_relative_information_score: 40531.3409, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.9729, recall: 0.9973, relative_absolute_error: 0.0057, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.1068, usercpu_time_millis: 12.333, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 11.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9316, kappa: 0.858, kb_relative_information_score: 34877.4436, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9317, predictive_accuracy: 0.9316, prior_entropy: 0.9729, recall: 0.9316, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5332, usercpu_time_millis: 1476.938, usercpu_time_millis_testing: 148.167, usercpu_time_millis_training: 1328.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9833, kappa: 0.9652, kb_relative_information_score: 39331.7094, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9835, predictive_accuracy: 0.9833, prior_entropy: 0.9729, recall: 0.9833, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2633, usercpu_time_millis: 101.373, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 100.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9543, kappa: 0.9051, kb_relative_information_score: 36831.069, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9544, predictive_accuracy: 0.9543, prior_entropy: 0.9729, recall: 0.9543, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4359, usercpu_time_millis: 21.528, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 21.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4458, kb_relative_information_score: 6031.3739, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.3559, predictive_accuracy: 0.5966, prior_entropy: 0.9729, recall: 0.5966, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.6352, root_relative_squared_error: 1.2947, usercpu_time_millis: 23.989, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 23.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9966, kappa: 0.9929, kb_relative_information_score: 40474.3162, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9729, recall: 0.9966, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.119, usercpu_time_millis: 8.436, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 8.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9981, kappa: 0.996, kb_relative_information_score: 40601.0378, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9981, predictive_accuracy: 0.9981, prior_entropy: 0.9729, recall: 0.9981, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.044, root_relative_squared_error: 0.0897, usercpu_time_millis: 727.9, usercpu_time_millis_testing: 11.101, usercpu_time_millis_training: 716.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9978, kappa: 0.9954, kb_relative_information_score: 40577.8055, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9729, recall: 0.9978, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.047, root_relative_squared_error: 0.0958, usercpu_time_millis: 293.495, usercpu_time_millis_testing: 2.791, usercpu_time_millis_training: 290.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9996, kb_relative_information_score: 40753.1038, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9729, recall: 0.9998, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0131, root_relative_squared_error: 0.0267, usercpu_time_millis: 21.839, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 21.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6621, kappa: 0.327, kb_relative_information_score: 16084.6241, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.8063, predictive_accuracy: 0.7133, prior_entropy: 0.9729, recall: 0.7133, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.5354, root_relative_squared_error: 1.0914, usercpu_time_millis: 24.013, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 23.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9979, kappa: 0.9957, kb_relative_information_score: 40590.4777, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9729, recall: 0.9979, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.0925, usercpu_time_millis: 399.746, usercpu_time_millis_testing: 4.022, usercpu_time_millis_training: 395.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9849, kappa: 0.9685, kb_relative_information_score: 39104.7064, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 0.9729, recall: 0.9849, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2117, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9793, kappa: 0.9569, kb_relative_information_score: 37587.1155, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 0.9729, recall: 0.9793, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.2432, scimark_benchmark: 972.587, usercpu_time_millis: 5180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9742, kappa: 0.9464, kb_relative_information_score: 37047.1823, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9744, predictive_accuracy: 0.9741, prior_entropy: 0.9729, recall: 0.9741, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.2571, scimark_benchmark: 851.2074, usercpu_time_millis: 20140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9481, kappa: 0.8934, kb_relative_information_score: 34947.3766, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.953, predictive_accuracy: 0.9477, prior_entropy: 0.9729, recall: 0.9477, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3591, scimark_benchmark: 941.6675, usercpu_time_millis: 430, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9945, kb_relative_information_score: 40372.2471, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9729, recall: 0.9974, relative_absolute_error: 0.0108, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.044, root_relative_squared_error: 0.0897, scimark_benchmark: 934.695,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs