Fig. 2
From: Fungal virulence factors datasets for inflammatory bowel disease-specific antifungal drug discovery
Construction and performance evaluation of machine learning models. (a) Overview of the prediction workflow, including feature extraction from protein sequences, selection of individual models, development of ensemble models, and prediction of VFs. (b) F1 scores of baseline models. (c) F1 scores of ensemble models. (d) Comprehensive model evaluation using precision, recall, F1 score, accuracy, area under the curve (AUC), and Matthews correlation coefficient (MCC).
