Skip to main content
Fig. 3 | BMC Bioinformatics

Fig. 3

From: iIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiers

Fig. 3

Comparison of performance metrics of iIL13Pred and IL13Pred: A, B Comparison of performance metrics of RF classifier on top 95 features in training and validation datasets respectively in iIL13Pred and IL13Pred and C, D Comparison of performance metrics of XGB classifier on top 10 features in training and validation data respectively in iIL13Pred and IL13Pred. Abbreviations: iIL13Pred, improved IL-13 prediction; IL13Pred, IL-13 prediction; RF, Random Forest; XGB, eXtreme Gradient Boosting; AUCROC, Area under the curve - Receiver Operating Characteristics; MCC, Matthews correlation coefficient

Back to article page