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. 2019 Dec 26;18:153–161. doi: 10.1016/j.csbj.2019.12.005

Fig. 2.

Fig. 2

Performance of various classifiers in predicting human-virus PPIs based on doc2vec encoding. Areas under the Precision-Recall curves (AUPRC) indicate that Random Forests (RF) outperformed Support Vector Machine (SVM), Multiple Layer Perceptron (MLP) and Adaptive Boosting (Adaboost) (A) applying 5-fold cross-validation and (B) using an independent test set.