Formal Formulation for BCP(1) Given a training sample g2:={xy}户=1…∈Rm T-CV: Partition@2 into Equally sized divisions then for fold tl.. t. one of the divisions is used as the validation set, Q2val, and the remaining T-1 divisions are assigned to the training set, Q2 Let r erm be the set of m model hyperparameters and w, be the model weights for the t-th foldFormal Formulation for BCP (1) • Given a training sample Ω:= {xj , yj }, j=1… l∈ Rn+1 . • T-CV: PartitionΩ into T equally sized divisions; then for fold t=1…T, one of the divisions is used as the validation set, , and the remaining T-1 divisions are assigned to the training set, . • Letγ∈Rm be the set of m model hyperparameters and wt be the model weights for the t-th fold. t val t trn