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. Author manuscript; available in PMC: 2022 May 13.
Published in final edited form as: Proc IEEE Int Conf Data Min. 2021 Dec;2021:1132–1137. doi: 10.1109/icdm51629.2021.00134

TABLE IV.

AUC comparison of SCALP for varying λ in Equation 5.

λ 0.99 0.90 0.85 0.80 0.75 0.70
AUC 0.766 0.794 0.822 0.839 0.818 0.785

A higher value of λ implies lower weight to the contrastive loss. Scalp achieves the best performance when 80% weight is given to classification loss and 20% weight is given to contrastive loss.