Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 2 Supervised Classification anneal 5738 runs submitted
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  • at2 basic d3m study_1 study_107 study_14 study_41 study_70 study_73 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8667, kappa: 0.6695, kb_relative_information_score: 0.6478, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8708, number_of_instances: 898, precision: 0.8684, predictive_accuracy: 0.8708, prior_entropy: 1.1915, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.699, scimark_benchmark: 1015.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, kb_relative_information_score: -0.0014, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.1915, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1148.7037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9911, kappa: 0.9779, kb_relative_information_score: 855.9874, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9912, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.211,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: 203.0276, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2818, root_relative_squared_error: 1.0915, usercpu_time_millis: 27.32, usercpu_time_millis_testing: 3.77, usercpu_time_millis_training: 23.55,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
1 likes - 0 downloads - 1 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.6587, kb_relative_information_score: -63.2957, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2636, root_relative_squared_error: 1.0208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9606, kappa: 0.9014, kb_relative_information_score: 762.7124, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9606, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.3936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9503, kappa: 0.8763, kb_relative_information_score: 740.149, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9499, predictive_accuracy: 0.951, prior_entropy: 1.2149, recall: 0.951, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.4542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5147, f_measure: 0.6587, kb_relative_information_score: 0.4357, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9642, kappa: 0.9103, kb_relative_information_score: 788.2039, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9642, predictive_accuracy: 0.9644, prior_entropy: 1.2149, recall: 0.9644, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9499, kappa: 0.875, kb_relative_information_score: 773.8924, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.95, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.4758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8215, kappa: 0.6266, kb_relative_information_score: 200.7674, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8864, predictive_accuracy: 0.8051, prior_entropy: 1.2149, recall: 0.8051, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8946, kappa: 0.7273, kb_relative_information_score: 610.1199, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8954, predictive_accuracy: 0.8976, prior_entropy: 1.2149, recall: 0.8976, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.154, root_relative_squared_error: 0.5966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.6271, kappa: 0.2903, kb_relative_information_score: 86.8239, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7401, predictive_accuracy: 0.5913, prior_entropy: 1.2149, recall: 0.5913, relative_absolute_error: 1.0374, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.1134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7708, kappa: 0.5161, kb_relative_information_score: 308.1807, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8249, predictive_accuracy: 0.755, prior_entropy: 1.2149, recall: 0.755, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9506, kappa: 0.8765, kb_relative_information_score: 756.1489, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9512, predictive_accuracy: 0.9521, prior_entropy: 1.2149, recall: 0.9521, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9244, kappa: 0.8098, kb_relative_information_score: 714.3087, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9323, predictive_accuracy: 0.931, prior_entropy: 1.2149, recall: 0.931, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.5005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8803, kappa: 0.7032, kb_relative_information_score: -472.5467, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.882, predictive_accuracy: 0.8931, prior_entropy: 1.2149, recall: 0.8931, relative_absolute_error: 1.6762, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.2139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9351, kappa: 0.8378, kb_relative_information_score: 679.0712, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9364, predictive_accuracy: 0.9376, prior_entropy: 1.2149, recall: 0.9376, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.4914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.8134, kappa: 0.5092, kb_relative_information_score: 481.2696, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8719, predictive_accuracy: 0.8508, prior_entropy: 1.2149, recall: 0.8508, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.6898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9426, kappa: 0.8571, kb_relative_information_score: 764.4778, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9457, predictive_accuracy: 0.9454, prior_entropy: 1.2149, recall: 0.9454, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8774, kappa: 0.6959, kb_relative_information_score: 609.3212, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8816, predictive_accuracy: 0.8753, prior_entropy: 1.2149, recall: 0.8753, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9181, kappa: 0.801, kb_relative_information_score: 663.1463, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9236, predictive_accuracy: 0.9165, prior_entropy: 1.2149, recall: 0.9165, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.5636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9253, kappa: 0.8175, kb_relative_information_score: 687.2145, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9308, predictive_accuracy: 0.9232, prior_entropy: 1.2149, recall: 0.9232, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.5155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8899, kappa: 0.7211, kb_relative_information_score: 615.2232, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.889, predictive_accuracy: 0.8931, prior_entropy: 1.2149, recall: 0.8931, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.6031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9471, kappa: 0.8692, kb_relative_information_score: 759.0542, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9484, predictive_accuracy: 0.9477, prior_entropy: 1.2149, recall: 0.9477, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.4617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.6425, kappa: 0.4163, kb_relative_information_score: 181.2066, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8482, predictive_accuracy: 0.6192, prior_entropy: 1.2149, recall: 0.6192, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.1867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9096, kappa: 0.772, kb_relative_information_score: 650.1972, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9097, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.5659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.6571, kappa: 0.427, kb_relative_information_score: 196.118, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8469, predictive_accuracy: 0.6325, prior_entropy: 1.2149, recall: 0.6325, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3023, root_relative_squared_error: 1.1708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9443, kappa: 0.8608, kb_relative_information_score: 699.4785, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.8419, kappa: 0.6153, kb_relative_information_score: -475.3231, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8428, predictive_accuracy: 0.8541, prior_entropy: 1.2149, recall: 0.8541, relative_absolute_error: 1.6797, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3157, root_relative_squared_error: 1.2226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7756, kappa: 0.4299, kb_relative_information_score: -488.0745, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7682, predictive_accuracy: 0.7906, prior_entropy: 1.2149, recall: 0.7906, relative_absolute_error: 1.6905, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.318, root_relative_squared_error: 1.2315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.7434, kappa: 0.3199, kb_relative_information_score: -494.3159, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7142, predictive_accuracy: 0.7973, prior_entropy: 1.2149, recall: 0.7973, relative_absolute_error: 1.6896, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3178, root_relative_squared_error: 1.2307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.7987, kappa: 0.5935, kb_relative_information_score: 416.1641, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8765, predictive_accuracy: 0.7817, prior_entropy: 1.2149, recall: 0.7817, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.8683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8305, kappa: 0.536, kb_relative_information_score: 449.9578, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8473, predictive_accuracy: 0.8497, prior_entropy: 1.2149, recall: 0.8497, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.7495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.82, kappa: 0.5057, kb_relative_information_score: 375.4467, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8567, predictive_accuracy: 0.8474, prior_entropy: 1.2149, recall: 0.8474, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.7928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, kappa: 0.5711, kb_relative_information_score: 399.4147, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.8486, prior_entropy: 1.2149, recall: 0.8486, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.7833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, kb_relative_information_score: 3.7822, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.8171, kappa: 0.504, kb_relative_information_score: 370.2974, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.843, predictive_accuracy: 0.8419, prior_entropy: 1.2149, recall: 0.8419, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8304, kappa: 0.5355, kb_relative_information_score: 410.9143, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8439, predictive_accuracy: 0.8474, prior_entropy: 1.2149, recall: 0.8474, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8359, kappa: 0.554, kb_relative_information_score: 390.7866, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8527, predictive_accuracy: 0.8541, prior_entropy: 1.2149, recall: 0.8541, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8573, kappa: 0.6251, kb_relative_information_score: 462.007, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8617, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.7403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.8395, kappa: 0.5701, kb_relative_information_score: 435.8522, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8587, predictive_accuracy: 0.8575, prior_entropy: 1.2149, recall: 0.8575, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.7574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kb_relative_information_score: 3.7811, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, kb_relative_information_score: 3.951, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8334, kappa: 0.5486, kb_relative_information_score: 419.0963, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8513, predictive_accuracy: 0.8519, prior_entropy: 1.2149, recall: 0.8519, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.7617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8545, kappa: 0.6066, kb_relative_information_score: 449.2223, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8643, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.7498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8175, kappa: 0.504, kb_relative_information_score: 366.9094, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8487, predictive_accuracy: 0.843, prior_entropy: 1.2149, recall: 0.843, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, kb_relative_information_score: 3.951, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.8545, kappa: 0.6166, kb_relative_information_score: 439.7043, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8604, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, kb_relative_information_score: -18.7893, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, kappa: -0.0016, kb_relative_information_score: -16.8963, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7606, prior_entropy: 1.2149, recall: 0.7606, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.8108, kappa: 0.4799, kb_relative_information_score: 340.2593, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8472, predictive_accuracy: 0.8419, prior_entropy: 1.2149, recall: 0.8419, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, kappa: -0.0013, kb_relative_information_score: -1.7105, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7606, prior_entropy: 1.2149, recall: 0.7606, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, kappa: -0.0016, kb_relative_information_score: -20.5132, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7606, prior_entropy: 1.2149, recall: 0.7606, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, kappa: -0.0079, kb_relative_information_score: 7.1123, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.755, prior_entropy: 1.2149, recall: 0.755, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.261, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8289, kappa: 0.5315, kb_relative_information_score: 440.8985, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8458, predictive_accuracy: 0.8486, prior_entropy: 1.2149, recall: 0.8486, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.7579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.7971, kappa: 0.4395, kb_relative_information_score: 291.1095, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8441, predictive_accuracy: 0.833, prior_entropy: 1.2149, recall: 0.833, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kb_relative_information_score: -6.3848, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.257, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8511, kappa: 0.5986, kb_relative_information_score: 441.3426, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8588, predictive_accuracy: 0.8619, prior_entropy: 1.2149, recall: 0.8619, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.7563, kappa: 0.3104, kb_relative_information_score: 242.7474, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7914, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.8919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.832, kappa: 0.5502, kb_relative_information_score: 406.1312, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8526, predictive_accuracy: 0.8519, prior_entropy: 1.2149, recall: 0.8519, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2, root_relative_squared_error: 0.7745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8075, kappa: 0.4708, kb_relative_information_score: 416.6547, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8313, predictive_accuracy: 0.8352, prior_entropy: 1.2149, recall: 0.8352, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2, root_relative_squared_error: 0.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.821, kappa: 0.5031, kb_relative_information_score: 348.0754, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8432, predictive_accuracy: 0.8419, prior_entropy: 1.2149, recall: 0.8419, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, kb_relative_information_score: 12.6266, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, kappa: -0.0016, kb_relative_information_score: -10.1731, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7606, prior_entropy: 1.2149, recall: 0.7606, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8359, kappa: 0.551, kb_relative_information_score: 404.1681, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8494, predictive_accuracy: 0.8519, prior_entropy: 1.2149, recall: 0.8519, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.7814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, kb_relative_information_score: 3.951, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.8222, kappa: 0.513, kb_relative_information_score: 370.5689, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8576, predictive_accuracy: 0.8486, prior_entropy: 1.2149, recall: 0.8486, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8463, kappa: 0.5973, kb_relative_information_score: 428.1084, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8515, predictive_accuracy: 0.8575, prior_entropy: 1.2149, recall: 0.8575, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.7626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.841, kappa: 0.5721, kb_relative_information_score: 443.8002, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8583, predictive_accuracy: 0.8586, prior_entropy: 1.2149, recall: 0.8586, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8415, kappa: 0.5734, kb_relative_information_score: 436.4371, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8568, predictive_accuracy: 0.8575, prior_entropy: 1.2149, recall: 0.8575, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.7503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7986, kappa: 0.4459, kb_relative_information_score: 294.1103, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8362, predictive_accuracy: 0.8318, prior_entropy: 1.2149, recall: 0.8318, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.8511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7921, kappa: 0.4264, kb_relative_information_score: 287.8934, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8347, predictive_accuracy: 0.8296, prior_entropy: 1.2149, recall: 0.8296, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.7168, kappa: 0.2285, kb_relative_information_score: 348.2676, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6963, predictive_accuracy: 0.7906, prior_entropy: 1.2149, recall: 0.7906, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5329, kb_relative_information_score: 9.0746, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, kappa: 0.5792, kb_relative_information_score: 409.3045, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.8508, prior_entropy: 1.2149, recall: 0.8508, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, kappa: -0.0064, kb_relative_information_score: -1.872, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7572, prior_entropy: 1.2149, recall: 0.7572, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2589, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, kb_relative_information_score: -0.5713, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, kappa: -0.0029, kb_relative_information_score: 10.304, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.1343, number_of_instances: 898, predictive_accuracy: 0.7595, prior_entropy: 1.2149, recall: 0.7595, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.259, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.794, kappa: 0.4372, kb_relative_information_score: 299.385, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8324, predictive_accuracy: 0.8318, prior_entropy: 1.2149, recall: 0.8318, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.8478,

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

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Download this task directly in your environment and automatically upload your results

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

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