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. 2019 May 6;2019:417–424.

Table 3:

Experiments results of using features and not using features for both CAML and HCAML under their best hyper-parameters

MODEL HIT@1 HIT@5 AUC
CAML 0.6611 0.8432 0.9444
CAML+Features 0.687 0.8818 0.9376
HCAML 0.6974 0.8918 0.9514
HCAML+Features 0.6969 0.8903 0.9496