TABLE 3.

Leave-one-out cross validation^a

Array	Array ID	Class labelb	No. of genes in classifier	Validation by:
				Linear discriminant analysis	Nearest-neighbor prediction	3-Nearest-neighbors prediction	Nearest-centroid Analysis
1	CON r1	CON	185	Yes	Yes	Yes	Yes
2	CON r2	CON	152	Yes	Yes	Yes	Yes
3	CON r3	CON	185	Yes	Yes	Yes	Yes
4	LPS r1	LPS	209	Yes	Yes	Yes	Yes
5	LPS r2	LPS	194	Yes	Yes	Yes	Yes
6	LPS r3	LPS	154	Yes	Yes	Yes	Yes
7	SAC r1	SAC	295	Yes	Yes	Yes	Yes
8	SAC r2	SAC	170	Yes	Yes	Yes	Yes
9	SAC r3	SAC	182	Yes	Yes	Yes	Yes

^aLeave-one-out cross validation demonstrated the ability of probe sets significant at the P < 0.001 level to function as classifiers of treatment response. In every case, the class identity of the array left out of the training set was correctly predicted by each of the four prediction models. See also Fig. 3.

^bCON, control unstimulated leukocytes; SAC, leukocytes exposed to S. aureus Cowan for 2 h prior to RNA harvest.