Fig. 3.

Accuracy of MaLAdapt and comparison to related methods. We applied MaLAdapt and other existing AI detection methods to the same set of testing data where the spatial structure of 5MB genomic segments is preserved and the class ratio between AI and non-AI is 1:100, mirroring the highly imbalanced AI class ratio likely present in the empirical human genome. We plot Receiver Operator Characteristic (ROC, left panel) and Precision-Recall (PR, right panel) curves for the prediction probabilities of MaLAdapt AI class (red solid), non-AI class (blue solid), and other AI signature statistics including RD (green dotted), Q95 (turquoise dotted), U20 (pink dotted), U50 (yellow dotted), genomatnn (black dotted), and VolcanoFinder (gray dotted) on the same testing data obtained from figure 2 demography. The red circle corresponds to the MaLAdapt AI prediction threshold of 0.9.