Table 6.

Recall, specificity and precision for optimized GTB-Stem compared with the results found in the “Related work” section.

	Recall	Specificity	Precision
GTB-Stem optimized	93.7	64.1	79.7
[7] ANN Internal	96.64	85.96	–
[7] LR external	82.76	80.90	–
[10] SVM	92.6	43.73	–
[11] SVM	92.0	72.0	–
[11] NB	87	74.0	–
[13] FLD S2	82.56	–	43.54

GTB: gradient tree boosting; ANN: artificial neural network; LR: linear regression; SVM: support vector machine; NB: Naïve Bayes classifiers; FLD: Fisher’s linear discriminant.

Note that the evaluation methods and datasets are not the same.