Figure 2
Machine learning algorithms parametrization, evaluation and model selection on the Ibadan training DTRAS dataset. DTRAS, Ibadan Dataset Training Set [from 1996 to 2014]; EN, elastic net; LASSO, least absolute shrinkage and selection operator; RR, ridge regression; LARS, least angle regression; AIC, akaike information criterion; BIC, Bayesian information criterion; SVR, support vector regression; \(\alpha \), regularization strength parameter; C, SVR margin parameter; \(\gamma\), SVR sigma gaussian-kernel parameter; MAE, mean absolute error; MSE, mean square error; X, features; y, true prevalence; \(\hat{y}\), predicted prevalence. 1Using fivefold cross validation; 2L1Ratio = 0.5.
