Fig. 2 | Scientific Reports

Fig. 2

From: A deep learning and molecular modeling approach to repurposing Cangrelor as a potential inhibitor of Nipah virus

Fig. 2

The performance plot for models AUC-ROC and Precision AUC curve of the model’s ability to distinguish active from inactive compounds with high accuracy. (A) Plots the True Positive Rate (TPR) on the y-axis against the False Positive Rates (FPR) on x-axis with the area under the ROC (AUC) curve is 0.998. (B) Precision-Recall curve plotting the precision on the y-axis and Recall on the x-axis with the area under the Precision-Recall Curve is 0.998 indicating the model’s high precision and high recall.

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