Table 2.

Classification evaluation measures for our classifiers on the GXD dataset using different cross-validation settings. NB denotes Na1ve Bayes classifier; RF denotes Random Forest classifier. The suffix 5 indicates using 5 complete runs of 5-fold cross validation; the suffix 10 indicates using 10 complete runs of 10-fold cross validation. RF-H-and-H represents using half of the GXD dataset for training and the other half for testing. Standard deviation is shown in parentheses.

Classifiers	Precision	Recall	F-measure	Accuracy	Utility-10	Utility-20
NB5	.892(.005)	.957(.003)	.923(.003)	.917(.004)	.945(.003)	.951(.003)
RF5	.908(.006)	.921(.005)	.915(.004)	.912(.005)	.912(.005)	.917(.005)
NB10	.891(.007)	.957(.006)	.923(.004)	.917(.005)	.945(.006)	.951(.006)
RF10	.908(.008)	.922(.008)	.915(.006)	.912(.007)	.912(.009)	.917(.008)
RF-H-and-H	.905	.925	.915	.913	.916	.921