"Establishing a good algorithm for predicting body fat of
body composition is an important issue. In this study, a novel
body fat prediction method by using Choquet integral
regression model based on L-measure and Gamma-support is
proposed. For evaluating the performance of this new
algorithm, a 5-fold Cross-Validation RMSE is performed.
Experimental result shows that this new prediction scheme is
better than the Choquet integral regression model based on
Gamma-measure and P-measure, respectively and two
traditional prediction models, ridge regression and multiple
regression models, respectively."
Relation:
International Conference on Machine Learning and Cybernetics
