Table 2. 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.

Models	Mean Squared Error	SD	Min	Max	R-Squared
Model 1	7.98	11.98	0.0002	76.50	37%
Model 2	7.47	12.84	0.001	83.43	47%
Model 3	115.33	960.19	0.001	9070.21	59%

Model 1: Standard Regression Model with One Variable of Baseline MoCA.

Model 2: Standard Regression Model with Six Variables Consistently Selected at Every Cross-Validation Loop.

Model 3: Standard Regression Model Using All 32 Variables.

Abbreviations: MoCA: Montreal Cognitive Assessment.