Machine learning algorithm validation with a limited sample size
K-Fold, Nested, Train/Test Split and two types of partially nested validation methods used. Thick lines show mean validation accuracy and dash-dot lines show 95% confidence intervals for 50 runs. A: SVM-RFE feature selection and SVM classification. B: t-test feature selection and logistic regression classification.