Table 2. Vector class prediction efficiency.

			RFM model predictions*
	Vectors	Material	Strong	Weak
	LV_1	DC	100	0
	LV_2	DC	100	0
A	AP205_3	DC	3	97
	MLV_2	DC	5	95
	AP205_1	Spleen	99	1
	MVA_1	Spleen	100	0
B	rAd_1	Spleen	98	2
	MLV_1	Spleen	9	91
	MPT_1	Spleen	0	100
	AP205_1	PBMC	73	27
	MVA_1	PBMC	90	10
	Qb_1	PBMC	99	1
	Qb_2	PBMC	95	5
C	Qb_3	PBMC	100	0
	Qb_4	PBMC	100	0
	Qb_5	PBMC	98	2
	MLV_1	PBMC	0	100
	MPT_1	PBMC	0	100
	rAd_1_6	Spleen	98	2
D	rAd_1_48	Spleen	0	100
	rAd_1_72	Spleen	2	98

*Number of the 100 bootstrapped datasets predicted as “Strong” or “Weak”.