Machine learning algorithm validation with a limited sample size
SVM-RFE and t-test feature selection, SVM classification, and sample size fixed at N = 100. A: Feature number manipulated from 20 to 200. B: Parameter tuning grid size manipulated from 2 × 2 to 20 × 20 with C = 2j, where j varied from 2 to 20 and γ = 2i, where i varied from −2 to −20. C: Number of CV folds varied from two-fold to leave-one out. Thick dashed lines show fitted 5th order polynomial trend.