The mean squared errors associated with Model 1, Model 2, and Model 3, to compare the model with top 10 variables selected at each cross-validation loop with the model with only one variable of baseline MoCA and also with model with all the 32 variables.

<p>Model 1: Standard Regression Model with One Variable of Baseline MoCA.</p><p>Model 2: Standard Regression Model with Six Variables Consistently Selected at Every Cross-Validation Loop.</p><p>Model 3: Standard Regression Model Using All 32 Variables.</p><p>Abbreviations: MoCA: Montreal Cognitive Assessment.</p><p>The mean squared errors associated with Model 1, Model 2, and Model 3, to compare the model with top 10 variables selected at each cross-validation loop with the model with only one variable of baseline MoCA and also with model with all the 32 variables.