Figure 6From: Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithmsComparison of average classification accuracy of classifiers when feature distributions within class are Gaussian. Each dataset included 1000 features per subject, where features were distributed according to a Gaussian distribution within each class. Results shown in Panels (a) - (c) were based on k= 1% and n= 100, 150 or 200. Results shown in Panels (d) - (f) were based on n= 150 and k= 0.5%, 1% or 5%. Results are based on 100 simulated datasets. Average classification accuracy estimates were derived based on a 4-fold cross validation procedure. See Additional File 1: Supplemental Figure S2 (a) for similar results when n= 50 and k= 1%.Back to article page