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Figure 1 | BMC Bioinformatics

Figure 1

From: Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor

Figure 1

The true negative (TNr) and true positive rates (TPr) for Logistic Regression (LR), Baysian Network (BN), Multilayer Perceptron (MP), Functional Tree (FT), various classifiers depending on the proportion of instances labelled as interacting as evaluated by LOOCV on the total test set, where the true negative rates are universally descending and the true positive rates universally ascending.

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