FIG. 6.

Results for running the stochastic EM algorithm when estimating SNPs for three additional dogs simultaneously. This experimental setup replicates the experiment for one additional dog, across 5 public/private/test dataset splits, with 20 different test sets of three additional dogs for each. (Left) Accuracy at predicting SNP presence relative to the “most common variant” baseline. On average, the SEM algorithm predicts the correct SNP 75.5% of the time, relative to 71.5% for the baseline. (Right) As in the one-dog example, we see relative improvement in the performance of our algorithm when considering more atypical dogs. SEM, stochastic EM.