Overall, we found no benefit in using a multi-task model over a single-task model when using 30 repeated experiments (Figure ). In fact, the multi-task models showed slightly worse performance overall in both the random split and clustered split in all tasks (Figure ). This is likely due to the sparsity of the multi-task target variables and the effect of imputation.