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[Preprint]. 2023 Sep 6:2023.03.01.529396. Originally published 2023 Mar 1. [Version 2] doi: 10.1101/2023.03.01.529396

Figure 5. Performance of domain-adaptive SIA (dadaSIA) model with different degrees of mis-specification.

Figure 5.

The performance of the model on the sweep classification task is quantified by the area under the precision-recall curve (AUPRC) (A). Performance on the selection-coefficient inference task is quantified by root mean squared error (RMSE) (B). In the “tree inference only” case, there is no mis-specification other than that caused by error in genealogy inference. In the “extreme” case, mis-specification consists of a 5% bottleneck, background selection and an 8-fold mis-specification in recombination rate. See Fig. S4 for illustrations of the different bottlenecks and Methods for details.