Table 5.

Classification performance on the Meats data for the variable selection algorithm with updating and for previous analyses of these data after combining the chicken and turkey into a poultry group. Mean classification performance for the 50 random splits of the data are reported with standard deviations in parentheses.

Method	Misclassification Rate
Variable Selection and Updating	0.8% (1.3)
Variable Selection (Greedy) and Updating	0.7% (0.7)
Variable Selection Only	1.8% (3.2)
Dean et al. (2006)	1.0% (0.9)
McElhinney et al. (1999)	2.6–4.3%
Transductive SVMs	20.9% (8.0)
Random Forests	10.5% (3.3)
AdaBoost.M1	14.7% (3.7)
Bayesian Multinomial Regression	17.2% (4.9)