Optimal metabolite set for wooden breast classification using support vector machine with stepwise feature selection and relevant performance measures.

Accuracy is calculated as true positives / (true positives + false positives + true negatives + false negatives). Marginal prediction accuracy is the increase in total prediction accuracy achieved by adding the associated metabolite. Precision is calculated as true positives / (true positives + false positives). Recall is calculated as true positives / (true positives + false negatives). F1 score is calculated as 2 × (precision × recall)/ (precision + recall).