Table 4.

Accuracy in distinguishing malingerers and honests obtained by four different ML classifiers using a 10-fold cross-validation procedure. Precision, recall, and F measure are also reported.

Classifier	Accuracy in 10-fold cross-validation	Precision	Recall	F measure
Naïve Bayes	89.7%	0.902	0.897	0.897
SVM	84.6%	0.862	0.846	0.845
Random Forest	89.7%	0.902	0.897	0.897
IBk	92.3%	0.924	0.923	0.923

IBk, K-nearest neighbours classifier; SVM, support-vector machine.