Fig. 1.

RMSE metric results with respect to the Healthy Aging index prediction for Random Forests (first column) and Linear Regression (second column). Circular points with continuous red lines represent the results (vertical axes) when bigKmeans algorithm is utilized, while triangular points with blue dashed lines represent the results for the dePDDP algorithm, respectively. Each row of the plots depicts the clustering for different prediction strategies; naive methodology (first row) and Ensemble on ascending range of clusters (second row). The horizontal purple shaded area represents the corresponding values for the catholic models (training a single predictor in the entire dataset). Mean values are reported according to the utilized bootstrapping, while colored ribbons present the standard deviation between the experiments