Fig. 3
From: Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms
Boxplots of the AUROC scores of machine learning (ML) models on the test sets across scenarios. ML models include Support Vector Machine (SVM), Gaussian Naïve Bayes (NB), decision tree (DT), random forest (RF), AdaBoost (AB), CatBoost (CB), XGBoost (XGB), Logistic Regression (LR) and Partial Least Squares-Discriminant analysis (PLS-DA). The colors in the boxplots are ordered from right to left as follows: SVM, NB, DT, RF, AB, CB, XGB, LR, and PLS-DA. The dashed red line indicates an AUROC of 0.60, representing the minimum threshold for an acceptable classifier