[Retracted] Machine Learning Model-Based Applications for Food Management in Alzheimer’s Using Regression Analysis Approach

Table 4

Model summary of the entire analysis showing adjusted R square and standard error values.

Model summary^b
Model	R	R square	Adjusted R square	Std. error of the estimate
1	0.982–0.996^a	0.964–0.992	0.932–0.984	0.916–1.129

a. Predictors: (Constant), Hachinski score, education (years), language, visuospatial skills, memory, sex, executive functions, age, Fazekasscore. b. Dependent variable: risk of AD, VD, and MXD.