Figure 4.

Comparison of the performance of two metapredictors (Logit and Condel) and their component tools, across five datasets. Bar heights reflect AUC for each tool and tool combination. Logit and Condel are metapredictors combining MASS, PP2, and SIFT. The “+” versions of Logit and Condel also include FatHMM‐W. While effective in prediction, FATHMM‐W (alone and in the Logit+ and Condel+ metapredictors) is optimistically biased due to type 2 circularity (see Results section). In the “Selected” datasets, Logit provides the best unbiased performance. SIFT has the lowest performance in the HumVar and ExoVar datasets, but it is also the only predictor that is unbiased in these two datasets.