Model characteristics including variable importance of the combined random forest model including glycaemic features.
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https://figshare.com/articles/dataset/Model_characteristics_including_variable_importance_of_the_combined_random_forest_model_including_glycaemic_features_/12978136
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资源简介:
Hyperparameter names correspond to parameter names from the H2O package in R. Training and test evaluations as the mean squared error, root mean squared error, mean absolute error, root mean squared logarithmic error, mean of the residuals, correlation between predicted and measured postprandial plasma glucose concentrations including confidence intervals and P values, respectively, are presented.
(XLSX)
创建时间:
2020-09-18



