Figure 4.

Learning curves for the best predictors for each of the three endpoints. For each endpoint, the learning curve of the best-performing model on the validation set was estimated by fivefold cross-validation for gradually increasing sample sizes. The plot shows both the estimated performance for different sample sizes and the fitted curve. The quadratic discriminant analysis (QDA) classifier required more than 60 samples, so the minimum sample size for it was 80. Note the nonlinear scale of the x-axis.