Table 5.

PLS-DA model performance for 2-class models fit with untargeted metabolomics of primary metabolism

		Full Model				Reduced Model
Fluid	n	Metabolites*	LV†	CV Acc.‡	P Value§	Metabolites	LV	CV Acc.	P Value
BMI classifiers (NW vs. OW)
Follicular fluid	16	295	2	100%	<0.01	10	3	100%	<0.01
Serum	17	295	3	100%	<0.01	11	2	100%	<0.01
% Body fat classifiers (NW vs. OW)
Follicular fluid	16	295	1	100%	<0.01	26	1	100%	<0.01
Serum	17	295	1	76.4%	0.05	29	1	94.4%	<0.01

Samples assessed by gas chromatography-quadrupole time-of-flight mass spectrometry. Normal weight (NW) and overweight (OW): n = 8 for follicular fluid; NW: n = 9 and OW: n = 8 for serum. Acc, accuracy; CV, cross-validation; LV, latent variable; PLS-DA, partial least squares-discriminant analysis.

^*No. of metabolites used to fit PLS-DA model.

^†No. of LVs needed to reach highest CV accuracy.

^‡Mean out-of-bag classification accuracy of 6-fold CV.

^§Proportion of permuted (100 permutations) mean CV accuracy less than actual mean CV accuracy.