SLMESales Ledger Month End
SLMESingle Line Matrix Endorser
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MLME fusion approach is the expansion of SLME, whereby the resulting fused scores from two or more sets of SLME with different latencies are fused together once more to get a final score.
1] as part of the feature combinations outperform the others since this is also noticed in SLME as discussed in the above section.
The obvious reason for the superior performance of MLME as compared to SLNF, SLSE, and SLME is because MLME involves two layers of fusion.