Observed and predicted values for total carotenoid content of cassava roots.

based on Linear Regression with Forward Selection (LRFS). Linear Regression with Backwards Selection (LRBS). Ridge Regression (RR). Linear Regression with Stepwise Selection (LRSS). Generalized Linear Model with Stepwise Feature Selection (GLMSS). Random Forest (RF). Partial Least Squares (PLS). the Bayesian Lasso (BL). the Bayesian Blasso (BBL). Support vector machine (SVM). and Classification. regression trees (CART) and Artificial Neural Network (ANN). The cross-validation scheme was performed with 5 repetitions of 6-fold analysis.
(CSV)