Task
Supervised Classification on audiology

Supervised Classification on audiology

Task 7 Supervised Classification audiology 6189 runs submitted
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  • basic study_1 study_107 study_41 study_73 under100k under1m
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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).
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 - 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: 0.4528, f_measure: 0.1031, kappa: 0.0058, kb_relative_information_score: 2.0982, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.0648, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.6056, kappa: 0.594, kb_relative_information_score: 78.3338, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.5961, predictive_accuracy: 0.6681, prior_entropy: 3.6349, recall: 0.6681, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.7792, kappa: 0.7711, kb_relative_information_score: 154.3417, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7634, predictive_accuracy: 0.8053, prior_entropy: 3.6349, recall: 0.8053, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.5907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.7174, kappa: 0.7011, kb_relative_information_score: 138.1658, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.6949, predictive_accuracy: 0.7478, prior_entropy: 3.6349, recall: 0.7478, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.1031, kappa: 0.0058, kb_relative_information_score: 2.0982, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.0648, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.6419, kappa: 0.6225, kb_relative_information_score: 59.3228, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.6466, predictive_accuracy: 0.6814, prior_entropy: 3.6349, recall: 0.6814, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.8863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8534, kappa: 0.8404, kb_relative_information_score: 177.5008, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.8544, predictive_accuracy: 0.8628, prior_entropy: 3.6349, recall: 0.8628, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.5512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.7527, kappa: 0.7352, kb_relative_information_score: 149.8944, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7403, predictive_accuracy: 0.7743, prior_entropy: 3.6349, recall: 0.7743, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.6746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.7453, kappa: 0.7293, kb_relative_information_score: 149.6336, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7319, predictive_accuracy: 0.7699, prior_entropy: 3.6349, recall: 0.7699, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.6751, kappa: 0.6738, kb_relative_information_score: 140.124, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.6383, predictive_accuracy: 0.7257, prior_entropy: 3.6349, recall: 0.7257, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.7374, kappa: 0.7287, kb_relative_information_score: 144.7415, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7211, predictive_accuracy: 0.7699, prior_entropy: 3.6349, recall: 0.7699, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.6416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.694, kappa: 0.6803, kb_relative_information_score: 133.5745, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.6716, predictive_accuracy: 0.7301, prior_entropy: 3.6349, recall: 0.7301, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.5891, kappa: 0.5743, kb_relative_information_score: 121.8056, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.5981, predictive_accuracy: 0.646, prior_entropy: 3.6349, recall: 0.646, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.7165, kappa: 0.7264, kb_relative_information_score: 15.565, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.681, predictive_accuracy: 0.7699, prior_entropy: 3.6349, recall: 0.7699, relative_absolute_error: 1.0606, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1933, root_relative_squared_error: 1.0212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8071, kappa: 0.7991, kb_relative_information_score: 163.8414, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7982, predictive_accuracy: 0.8274, prior_entropy: 3.6349, recall: 0.8274, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.7244, kappa: 0.7141, kb_relative_information_score: 115.819, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7214, predictive_accuracy: 0.7611, prior_entropy: 3.6349, recall: 0.7611, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4121, f_measure: 0.1016, kb_relative_information_score: -0.0953, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1895, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.5776, kappa: 0.5691, kb_relative_information_score: 123.1751, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.5385, predictive_accuracy: 0.6416, prior_entropy: 3.6349, recall: 0.6416, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.7442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.588, kappa: 0.5749, kb_relative_information_score: 133.1804, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.5749, predictive_accuracy: 0.646, prior_entropy: 3.6349, recall: 0.646, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.7179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.6291, kappa: 0.6216, kb_relative_information_score: 129.2428, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.6149, predictive_accuracy: 0.6858, prior_entropy: 3.6349, recall: 0.6858, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.6388, kappa: 0.6326, kb_relative_information_score: 129.5408, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.6198, predictive_accuracy: 0.6947, prior_entropy: 3.6349, recall: 0.6947, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.7255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.765, kappa: 0.7529, kb_relative_information_score: 160.5444, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7556, predictive_accuracy: 0.7876, prior_entropy: 3.6349, recall: 0.7876, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.6512, kappa: 0.649, kb_relative_information_score: 128.4455, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.6207, predictive_accuracy: 0.708, prior_entropy: 3.6349, recall: 0.708, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.138, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.7811, kappa: 0.7714, kb_relative_information_score: 141.3861, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7615, predictive_accuracy: 0.8053, prior_entropy: 3.6349, recall: 0.8053, relative_absolute_error: 0.302, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.7041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7558, kappa: 0.7364, kb_relative_information_score: 18.2755, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7465, predictive_accuracy: 0.7743, prior_entropy: 3.6349, recall: 0.7743, relative_absolute_error: 1.0599, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1934, root_relative_squared_error: 1.0215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.736, kappa: 0.7296, kb_relative_information_score: 17.8148, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7126, predictive_accuracy: 0.7699, prior_entropy: 3.6349, recall: 0.7699, relative_absolute_error: 1.0602, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1935, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.7375, kappa: 0.7108, kb_relative_information_score: 17.0474, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7297, predictive_accuracy: 0.7522, prior_entropy: 3.6349, recall: 0.7522, relative_absolute_error: 1.0605, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1935, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.6512, kappa: 0.649, kb_relative_information_score: 128.4455, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.6207, predictive_accuracy: 0.708, prior_entropy: 3.6349, recall: 0.708, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.138, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7822, kappa: 0.7757, kb_relative_information_score: 138.0495, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7632, predictive_accuracy: 0.8097, prior_entropy: 3.6349, recall: 0.8097, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.6249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.7654, kappa: 0.753, kb_relative_information_score: 160.5911, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7545, predictive_accuracy: 0.7876, prior_entropy: 3.6349, recall: 0.7876, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.119, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.6706, kappa: 0.6657, kb_relative_information_score: 133.065, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.6359, predictive_accuracy: 0.7168, prior_entropy: 3.6349, recall: 0.7168, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.6948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, kappa: 0.783, kb_relative_information_score: 159.4312, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8142, prior_entropy: 3.6349, recall: 0.8142, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.119, root_relative_squared_error: 0.6284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, kappa: 0.7363, kb_relative_information_score: 153.6144, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7743, prior_entropy: 3.6349, recall: 0.7743, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, kappa: 0.7742, kb_relative_information_score: 158.7475, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8097, prior_entropy: 3.6349, recall: 0.8097, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.112, root_relative_squared_error: 0.5918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, kappa: 0.7567, kb_relative_information_score: 157.7549, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.792, prior_entropy: 3.6349, recall: 0.792, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, kappa: 0.7105, kb_relative_information_score: 148.3812, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7522, prior_entropy: 3.6349, recall: 0.7522, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.7497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, kappa: 0.8079, kb_relative_information_score: 4.3488, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8363, prior_entropy: 3.6349, recall: 0.8363, relative_absolute_error: 1.1021, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1997, root_relative_squared_error: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, kappa: 0.7783, kb_relative_information_score: 4.3455, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8097, prior_entropy: 3.6349, recall: 0.8097, relative_absolute_error: 1.1023, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1998, root_relative_squared_error: 1.0552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, kappa: 0.7722, kb_relative_information_score: 158.5561, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8053, prior_entropy: 3.6349, recall: 0.8053, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.124, root_relative_squared_error: 0.6549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, kappa: 0.7471, kb_relative_information_score: 4.489, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7832, prior_entropy: 3.6349, recall: 0.7832, relative_absolute_error: 1.1018, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1997, root_relative_squared_error: 1.0548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, kappa: 0.757, kb_relative_information_score: 156.1686, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.792, prior_entropy: 3.6349, recall: 0.792, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, kappa: 0.5944, kb_relative_information_score: 138.3613, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.6593, prior_entropy: 3.6349, recall: 0.6593, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, kappa: 0.7628, kb_relative_information_score: 4.5976, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 1.1017, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1996, root_relative_squared_error: 1.0546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, kappa: 0.792, kb_relative_information_score: 162.8062, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.823, prior_entropy: 3.6349, recall: 0.823, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.6152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, kappa: 0.7722, kb_relative_information_score: 4.0452, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8053, prior_entropy: 3.6349, recall: 0.8053, relative_absolute_error: 1.1029, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1999, root_relative_squared_error: 1.0558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, kappa: 0.767, kb_relative_information_score: 158.4429, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8009, prior_entropy: 3.6349, recall: 0.8009, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.116, root_relative_squared_error: 0.6129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, kappa: 0.7465, kb_relative_information_score: 156.4063, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7832, prior_entropy: 3.6349, recall: 0.7832, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.6748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, kappa: 0.7987, kb_relative_information_score: 4.3602, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8274, prior_entropy: 3.6349, recall: 0.8274, relative_absolute_error: 1.1022, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1997, root_relative_squared_error: 1.0552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, kappa: 0.4361, kb_relative_information_score: 3.9691, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.5487, prior_entropy: 3.6349, recall: 0.5487, relative_absolute_error: 1.1031, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1999, root_relative_squared_error: 1.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, kappa: 0.7627, kb_relative_information_score: 4.0856, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 1.1029, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1999, root_relative_squared_error: 1.0558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, kappa: 0.7359, kb_relative_information_score: 153.6701, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7743, prior_entropy: 3.6349, recall: 0.7743, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.6879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, kappa: 0.7632, kb_relative_information_score: 4.2831, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 1.1025, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1998, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, kappa: 0.084, kb_relative_information_score: 11.3582, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.2168, prior_entropy: 3.6349, recall: 0.2168, relative_absolute_error: 1.0776, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1974, root_relative_squared_error: 1.0425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, kappa: 0.7632, kb_relative_information_score: 4.0899, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 1.1029, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1999, root_relative_squared_error: 1.0558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, kappa: 0.772, kb_relative_information_score: 161.9468, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8053, prior_entropy: 3.6349, recall: 0.8053, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.6437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, kappa: 0.7616, kb_relative_information_score: 155.9937, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.6311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, kappa: 0.7464, kb_relative_information_score: 156.9254, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7832, prior_entropy: 3.6349, recall: 0.7832, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, kappa: 0.4044, kb_relative_information_score: 3.9813, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.531, prior_entropy: 3.6349, recall: 0.531, relative_absolute_error: 1.103, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1999, root_relative_squared_error: 1.0559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, kappa: 0.4044, kb_relative_information_score: 3.98, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.531, prior_entropy: 3.6349, recall: 0.531, relative_absolute_error: 1.103, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1999, root_relative_squared_error: 1.0559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, kappa: 0.5232, kb_relative_information_score: 133.219, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.6018, prior_entropy: 3.6349, recall: 0.6018, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.7474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, kappa: 0.7577, kb_relative_information_score: 4.05, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.792, prior_entropy: 3.6349, recall: 0.792, relative_absolute_error: 1.103, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1999, root_relative_squared_error: 1.0559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, kappa: 0.7732, kb_relative_information_score: 4.3526, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8053, prior_entropy: 3.6349, recall: 0.8053, relative_absolute_error: 1.1023, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1998, root_relative_squared_error: 1.0552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, kappa: 0.5928, kb_relative_information_score: 121.9315, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.6593, prior_entropy: 3.6349, recall: 0.6593, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.7426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, kappa: 0.7623, kb_relative_information_score: 4.4267, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 1.102, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1997, root_relative_squared_error: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, kappa: 0.7535, kb_relative_information_score: 157.8992, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7876, prior_entropy: 3.6349, recall: 0.7876, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.6873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, kappa: 0.7847, kb_relative_information_score: 4.1914, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8142, prior_entropy: 3.6349, recall: 0.8142, relative_absolute_error: 1.1027, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1998, root_relative_squared_error: 1.0556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, kappa: 0.7381, kb_relative_information_score: 151.7375, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7743, prior_entropy: 3.6349, recall: 0.7743, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.7116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, kappa: 0.7634, kb_relative_information_score: 158.3081, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8009, prior_entropy: 3.6349, recall: 0.8009, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, kappa: 0.785, kb_relative_information_score: 162.7172, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8186, prior_entropy: 3.6349, recall: 0.8186, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, kappa: 0.7775, kb_relative_information_score: 159.1892, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8097, prior_entropy: 3.6349, recall: 0.8097, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, kappa: 0.7151, kb_relative_information_score: 149.2375, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7566, prior_entropy: 3.6349, recall: 0.7566, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.139, root_relative_squared_error: 0.7341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, kappa: 0.2801, kb_relative_information_score: 3.9592, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.3363, prior_entropy: 3.6349, recall: 0.3363, relative_absolute_error: 1.1032, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1999, root_relative_squared_error: 1.0561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, kappa: 0.7298, kb_relative_information_score: 150.8635, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7699, prior_entropy: 3.6349, recall: 0.7699, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, kappa: 0.7591, kb_relative_information_score: 157.523, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.6108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, kappa: 0.7865, kb_relative_information_score: 4.0986, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8186, prior_entropy: 3.6349, recall: 0.8186, relative_absolute_error: 1.1028, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1999, root_relative_squared_error: 1.0557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, kappa: 0.6875, kb_relative_information_score: 149.1271, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7345, prior_entropy: 3.6349, recall: 0.7345, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, kappa: 0.7581, kb_relative_information_score: 4.2817, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.792, prior_entropy: 3.6349, recall: 0.792, relative_absolute_error: 1.1025, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1998, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, kappa: 0.746, kb_relative_information_score: 154.1857, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7832, prior_entropy: 3.6349, recall: 0.7832, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.6938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, kappa: 0.7686, kb_relative_information_score: 155.5589, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8053, prior_entropy: 3.6349, recall: 0.8053, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, kappa: 0.8186, kb_relative_information_score: 4.3923, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8451, prior_entropy: 3.6349, recall: 0.8451, relative_absolute_error: 1.102, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1997, root_relative_squared_error: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, kappa: 0.767, kb_relative_information_score: 157.8763, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.8009, prior_entropy: 3.6349, recall: 0.8009, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.6509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, kappa: 0.7615, kb_relative_information_score: 4.2976, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0724, number_of_instances: 226, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 1.1023, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1998, root_relative_squared_error: 1.0553,

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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