We use prediction averaging<cite> (Biçici, 2018)</cite> to obtain a combined prediction from various prediction outputs better than the components, where the performance on the training set is used to obtain weighted average of the top k predictions,ŷ with evaluation metrics indexed by j ∈ J and weights with w: