TABLE III.

Average prediction values obtained for each sample spectra set for each model used in the matching algorithm.^a

Sample	Model	Average prediction value	Sample classification	Sample	Model	Average prediction value	Sample classification
F	AB	0.9005	A	K	AB	1.0057	A
	AC	0.5016	A		AC	0.4044	A
	AD	0.0303	D		AD	0.2201	D
	AE	0.5271	A		AE	0.3839	A
	CD	0.2330	D		CD	0.2521	D
	CE	0.6691	C		CE	0.4311	C
	DE	0.9082	D		DE	0.6593	D
G	AB	0.8990	A	L	AB	0.9559	A
	AC	0.2254	C		AC	0.4575	A
	AD	0.2747	D		AD	0.4307	A
	AE	0.3919	A		AE	0.5759	A
	CD	0.4565	C		CD	0.3503	C
	CE	0.6765	C		CE	0.6613	C
	DE	0.6091	D		DE	0.7062	D
H	AB	0.2996	B	M	AB	0.2968	B
	AC	−0.1799	C		AC	−0.0427	C
	AD	0.8302	A		AD	0.7863	A
	AE	0.4844	A		AE	0.4804	A
	CD	0.4844	C		CD	0.7495	C
	CE	1.0455	C		CE	0.9532	C
	DE	0.0964	E		DE	0.0638	E
I	AB	0.9170	A	N	AB	0.9209	A
	AC	0.4053	A		AC	0.1247	C
	AD	0.3723	A		AD	0.4193	A
	AE	0.5864	A		AE	0.2471	E
	CD	0.3186	D		CD	0.5254	C
	CE	0.6698	C		CE	0.4657	C
	DE	0.8107	D		DE	0.0694	E
J	AB	0.8368	A	O	AB	0.8908	A
	AC	0.2637	C		AC	0.2502	C
	AD	0.4206	A		AD	0.4729	A
	AE	0.2523	E		AE	0.2863	E
	CD	0.4256	C		CD	0.4388	C
	CE	0.2917	E		CE	0.3676	C
	DE	0.1239	E		DE	0.1716	E

^aThe key models used to match the unknown sample to one of the samples A through E are indicated in bold.