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Figure 11 | BMC Bioinformatics

Figure 11

From: Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms

Figure 11

Comparison of average classification accuracy of classifiers when feature distributions within class are non-Gaussian. Each dataset included 1000 features per subject, where features were distributed according to a non-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 (b) for similar results when n= 50 and k= 1%.

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