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Table 2 CFR and FFS Comparison The comparison of model performance on data from the Fine Feature Selection process and the Coarse Feature Reduction.

From: Kernelized partial least squares for feature reduction and classification of gene microarray data

Model Top Validation AUC Value CFR-data (36 mo/60 mo) Top Validation AUC Value FFS-data (36 mo/60 mo)
L-PLS .791/.831 .794/.869
KPLS-Poly (Degree = 1) .784/. 830 .780/.711
  1. The FFS process enhanced performance for only the L-PLS while the KPLS-Poly suffered in both the 36- and 60-month data.