Table 12.

Task performance and ranking quality for C-MAPSS FD001 dataset.

Approach	RQS	$\mathit{m}\mathit{a}\mathit{x}\left(\mathit{P}\mathit{M}\right)$	Number of Features for $\mathit{m}\mathit{a}\mathit{x}\left(\mathit{P}\mathit{M}\right)$	PM for 95% Threshold	Number of Features for 95% Threshold
FS layer	0.9216	1.0104	12	0.9913	9
Mutual Info.	0.6786	1.0000	14	1.0000	14
RReliefF	0.8730	1.0000	14	0.9589	10
Random Forest	0.8465	1.0000	14	0.9634	12
AFS	0.7821	1.0515	14	1.0351	13
AFS 2	0.7560	1.0392	14	1.0007	13