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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.