Optimizing Neuropsychological Assessments for Cognitive, Behavioral, and Functional Impairment Classification: A Machine Learning Study

Table 4

Performance of ML (accuracy, sensitivity, specificity, GM, and Dominance) in the classification of CDR = 0.5 versus CDR = 0 using linear, quadratic, Gaussian RBF, and Multilayer Perceptron kernels. Results were obtained using the computation-based feature reduction.

Kernel	Accuracy	Sensitivity	Specificity	Geometric Mean	Dominance
Linear
Quadratic
Gaussian RBF
Multilayer Perceptron

across 10 rounds of the nested CV and across 100 iterations.