Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification

Table 5

Poultry classification results (pale, soft, and exudative (PSE); dark, firm, and dry (DFD); normal (N) or pale (P)) obtained by support vector machine (SVM) and REPTree in mean of average true positive (TP), false positive (FP), Precision, Recall, and F-Measure after 30 repetitions.

Algorithm	Attributes	Class	TP	FP	Precision	Recall	F-Measure
SVM	(400, 402, …, 2498) (all)	PSE	0.000	0.000	0.000	0.000	0.000
		P	0.837	0.389	0.720	0.837	0.774
		N	0.756	0.231	0.534	0.756	0.626
		DFD	0.000	0.000	0.000	0.000	0.000
		Weighted AVG	0.652	0.272	0.531	0.652	0.584
REPTree	(400, 402, …, 2498) (all)	PSE	0.125	0.022	0.500	0.125	0.200
		P	0.930	0.333	0.769	0.930	0.842
		N	0.878	0.051	0.857	0.878	0.867
		DFD	0.571	0.013	0.667	0.571	0.615
		Weighted AVG	0.778	0.199	0.747	0.778	0.741