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Supervised Classification on sleuth_case1202

Supervised Classification on sleuth_case1202

Task 4459 Supervised Classification sleuth_case1202 219 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8309, kappa: 0.6506, kb_relative_information_score: 0.4852, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.475, weighted_recall: 0.829, number_of_instances: 930, precision: 0.8399, predictive_accuracy: 0.829, prior_entropy: 0.9629, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7673, scimark_benchmark: 931.1106, unweighted_recall: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.812, kappa: 0.602, kb_relative_information_score: 0.5273, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.475, weighted_recall: 0.8129, number_of_instances: 930, precision: 0.8116, predictive_accuracy: 0.8129, prior_entropy: 0.9629, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7526, scimark_benchmark: 979.7764, unweighted_recall: 0.7982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8503, kappa: 0.6991, kb_relative_information_score: 523.1121, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8809, predictive_accuracy: 0.8484, prior_entropy: 0.9645, recall: 0.8484, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6962, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7834, kappa: 0.5485, kb_relative_information_score: 492.3393, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.7876, predictive_accuracy: 0.7817, prior_entropy: 0.9645, recall: 0.7817, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8079, kappa: 0.5962, kb_relative_information_score: 454.0302, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8085, predictive_accuracy: 0.8075, prior_entropy: 0.9645, recall: 0.8075, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7673, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7808, kappa: 0.5364, kb_relative_information_score: 456.4436, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.7803, predictive_accuracy: 0.7817, prior_entropy: 0.9645, recall: 0.7817, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8519, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7834, kappa: 0.5485, kb_relative_information_score: 492.3393, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.7876, predictive_accuracy: 0.7817, prior_entropy: 0.9645, recall: 0.7817, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7834, kappa: 0.5485, kb_relative_information_score: 492.3393, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.7876, predictive_accuracy: 0.7817, prior_entropy: 0.9645, recall: 0.7817, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4658, kb_relative_information_score: 155.0026, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.3757, predictive_accuracy: 0.6129, prior_entropy: 0.9645, recall: 0.6129, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.6222, root_relative_squared_error: 1.2773, scimark_benchmark: 904.0772, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.844, kappa: 0.6842, kb_relative_information_score: 484.5678, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8683, predictive_accuracy: 0.8419, prior_entropy: 0.9645, recall: 0.8419, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.358, root_relative_squared_error: 0.735, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.8312, kappa: 0.6571, kb_relative_information_score: 486.1424, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8522, predictive_accuracy: 0.829, prior_entropy: 0.9645, recall: 0.829, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7361, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8373, kappa: 0.6566, kb_relative_information_score: 456.62, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8371, predictive_accuracy: 0.8376, prior_entropy: 0.9645, recall: 0.8376, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7301, scimark_benchmark: 941.6675, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8311, kappa: 0.6537, kb_relative_information_score: 484.0238, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8451, predictive_accuracy: 0.829, prior_entropy: 0.9645, recall: 0.829, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7535, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8309, kappa: 0.6506, kb_relative_information_score: 450.5407, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8399, predictive_accuracy: 0.829, prior_entropy: 0.9645, recall: 0.829, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7673, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4658, kb_relative_information_score: 155.0026, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.3757, predictive_accuracy: 0.6129, prior_entropy: 0.9645, recall: 0.6129, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.6222, root_relative_squared_error: 1.2773, scimark_benchmark: 938.5498, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4658, kb_relative_information_score: 155.0026, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.3757, predictive_accuracy: 0.6129, prior_entropy: 0.9645, recall: 0.6129, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.6222, root_relative_squared_error: 1.2773, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8309, kappa: 0.6506, kb_relative_information_score: 450.5407, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8399, predictive_accuracy: 0.829, prior_entropy: 0.9645, recall: 0.829, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7673, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8503, kappa: 0.6991, kb_relative_information_score: 523.1121, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8809, predictive_accuracy: 0.8484, prior_entropy: 0.9645, recall: 0.8484, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6962, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8079, kappa: 0.5962, kb_relative_information_score: 454.0302, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8085, predictive_accuracy: 0.8075, prior_entropy: 0.9645, recall: 0.8075, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7673, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7808, kappa: 0.5364, kb_relative_information_score: 456.4436, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.7803, predictive_accuracy: 0.7817, prior_entropy: 0.9645, recall: 0.7817, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8519, scimark_benchmark: 940.1541, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4658, kb_relative_information_score: 155.0026, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.3757, predictive_accuracy: 0.6129, prior_entropy: 0.9645, recall: 0.6129, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.6222, root_relative_squared_error: 1.2773, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4658, kb_relative_information_score: 155.0026, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.3757, predictive_accuracy: 0.6129, prior_entropy: 0.9645, recall: 0.6129, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.6222, root_relative_squared_error: 1.2773, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.844, kappa: 0.6842, kb_relative_information_score: 484.5678, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8683, predictive_accuracy: 0.8419, prior_entropy: 0.9645, recall: 0.8419, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.358, root_relative_squared_error: 0.735, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.844, kappa: 0.6842, kb_relative_information_score: 484.5678, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8683, predictive_accuracy: 0.8419, prior_entropy: 0.9645, recall: 0.8419, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.358, root_relative_squared_error: 0.735, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.8312, kappa: 0.6571, kb_relative_information_score: 486.1424, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8522, predictive_accuracy: 0.829, prior_entropy: 0.9645, recall: 0.829, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7361, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8373, kappa: 0.6566, kb_relative_information_score: 456.62, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8371, predictive_accuracy: 0.8376, prior_entropy: 0.9645, recall: 0.8376, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7301, scimark_benchmark: 936.3213, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.844, kappa: 0.6842, kb_relative_information_score: 484.5678, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8683, predictive_accuracy: 0.8419, prior_entropy: 0.9645, recall: 0.8419, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.358, root_relative_squared_error: 0.735, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8311, kappa: 0.6537, kb_relative_information_score: 484.0238, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8451, predictive_accuracy: 0.829, prior_entropy: 0.9645, recall: 0.829, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7535, scimark_benchmark: 730.6551, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8309, kappa: 0.6506, kb_relative_information_score: 450.5407, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8399, predictive_accuracy: 0.829, prior_entropy: 0.9645, recall: 0.829, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7673, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8593, kappa: 0.7072, kb_relative_information_score: 470.6419, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.864, predictive_accuracy: 0.8581, prior_entropy: 0.9645, recall: 0.8581, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6994, scimark_benchmark: 901.4991, usercpu_time_millis: 280, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8529, kappa: 0.6945, kb_relative_information_score: 468.4442, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8585, predictive_accuracy: 0.8516, prior_entropy: 0.9645, recall: 0.8516, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7012, scimark_benchmark: 906.5979, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8529, kappa: 0.6942, kb_relative_information_score: 473.6011, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.858, predictive_accuracy: 0.8516, prior_entropy: 0.9645, recall: 0.8516, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7001, scimark_benchmark: 935.3212, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8605, kappa: 0.7104, kb_relative_information_score: 472.6424, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8666, predictive_accuracy: 0.8591, prior_entropy: 0.9645, recall: 0.8591, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.7031, scimark_benchmark: 944.235, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8327, kappa: 0.6526, kb_relative_information_score: 459.5121, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8385, predictive_accuracy: 0.8312, prior_entropy: 0.9645, recall: 0.8312, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7245, scimark_benchmark: 920.3788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.8334, kappa: 0.662, kb_relative_information_score: 487.0358, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8559, predictive_accuracy: 0.8312, prior_entropy: 0.9645, recall: 0.8312, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.757, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.8334, kappa: 0.662, kb_relative_information_score: 487.0358, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8559, predictive_accuracy: 0.8312, prior_entropy: 0.9645, recall: 0.8312, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.757, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.8334, kappa: 0.662, kb_relative_information_score: 487.0358, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8559, predictive_accuracy: 0.8312, prior_entropy: 0.9645, recall: 0.8312, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.757, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.8334, kappa: 0.662, kb_relative_information_score: 487.0358, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8559, predictive_accuracy: 0.8312, prior_entropy: 0.9645, recall: 0.8312, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.757, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.8334, kappa: 0.662, kb_relative_information_score: 487.0358, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8559, predictive_accuracy: 0.8312, prior_entropy: 0.9645, recall: 0.8312, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.757, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4474, f_measure: 0.4658, kb_relative_information_score: -2.0849, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.3757, predictive_accuracy: 0.6129, prior_entropy: 0.9645, recall: 0.6129, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.4876, root_relative_squared_error: 1.001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8341, kappa: 0.658, kb_relative_information_score: 591.7955, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8444, predictive_accuracy: 0.8323, prior_entropy: 0.9645, recall: 0.8323, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.8014, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.844, kappa: 0.6842, kb_relative_information_score: 484.5678, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8683, predictive_accuracy: 0.8419, prior_entropy: 0.9645, recall: 0.8419, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.358, root_relative_squared_error: 0.735, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8311, kappa: 0.6537, kb_relative_information_score: 484.0238, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8451, predictive_accuracy: 0.829, prior_entropy: 0.9645, recall: 0.829, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7535, scimark_benchmark: 1317.2327, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8503, kappa: 0.6991, kb_relative_information_score: 523.1121, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8809, predictive_accuracy: 0.8484, prior_entropy: 0.9645, recall: 0.8484, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6962, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8079, kappa: 0.5962, kb_relative_information_score: 454.0302, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8085, predictive_accuracy: 0.8075, prior_entropy: 0.9645, recall: 0.8075, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7673, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8237, kappa: 0.6397, kb_relative_information_score: 477.6816, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.84, predictive_accuracy: 0.8215, prior_entropy: 0.9645, recall: 0.8215, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7673, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.844, kappa: 0.6842, kb_relative_information_score: 484.5678, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8683, predictive_accuracy: 0.8419, prior_entropy: 0.9645, recall: 0.8419, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.358, root_relative_squared_error: 0.735, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.844, kappa: 0.6842, kb_relative_information_score: 484.5678, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8683, predictive_accuracy: 0.8419, prior_entropy: 0.9645, recall: 0.8419, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.358, root_relative_squared_error: 0.735, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8373, kappa: 0.6566, kb_relative_information_score: 456.62, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8371, predictive_accuracy: 0.8376, prior_entropy: 0.9645, recall: 0.8376, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7301, scimark_benchmark: 1332.7986, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.844, kappa: 0.6842, kb_relative_information_score: 484.5678, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8683, predictive_accuracy: 0.8419, prior_entropy: 0.9645, recall: 0.8419, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.358, root_relative_squared_error: 0.735, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8079, kappa: 0.5962, kb_relative_information_score: 454.0302, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8085, predictive_accuracy: 0.8075, prior_entropy: 0.9645, recall: 0.8075, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7673, scimark_benchmark: 1314.2279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8237, kappa: 0.6397, kb_relative_information_score: 477.6816, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.84, predictive_accuracy: 0.8215, prior_entropy: 0.9645, recall: 0.8215, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7673, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.844, kappa: 0.6842, kb_relative_information_score: 484.5678, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8683, predictive_accuracy: 0.8419, prior_entropy: 0.9645, recall: 0.8419, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.358, root_relative_squared_error: 0.735, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.844, kappa: 0.6842, kb_relative_information_score: 484.5678, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8683, predictive_accuracy: 0.8419, prior_entropy: 0.9645, recall: 0.8419, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.358, root_relative_squared_error: 0.735, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8311, kappa: 0.6537, kb_relative_information_score: 484.0238, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8451, predictive_accuracy: 0.829, prior_entropy: 0.9645, recall: 0.829, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7535, scimark_benchmark: 1335.5309, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8309, kappa: 0.6506, kb_relative_information_score: 450.5407, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8399, predictive_accuracy: 0.829, prior_entropy: 0.9645, recall: 0.829, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7673, scimark_benchmark: 1346.2927, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.812, kappa: 0.602, kb_relative_information_score: 488.7969, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8116, predictive_accuracy: 0.8129, prior_entropy: 0.9645, recall: 0.8129, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7516, scimark_benchmark: 1320.2063, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8079, kappa: 0.5962, kb_relative_information_score: 454.0302, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8085, predictive_accuracy: 0.8075, prior_entropy: 0.9645, recall: 0.8075, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7673, scimark_benchmark: 1320.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.8202, kappa: 0.6283, kb_relative_information_score: 536.5176, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.475, number_of_instances: 930, precision: 0.8287, predictive_accuracy: 0.8183, prior_entropy: 0.9645, recall: 0.8183, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4871, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8323, scimark_benchmark: 1310.3168,

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