Table 1.

Results attained when varying the meta-classifiers (where the number of clusters used, K, is set to 5). Standard deviation is shown in parentheses. The highest performance level along each metric is shown in boldface

Meta-classifier	Precision	Recall	F-measure	MCC
Naïve Bayes	0.603 (0.007)	0.871 (0.005)	0.713 (0.005)	0.672 (0.006)
Random Forest	0.776 (0.004)	0.694 (0.008)	0.733 (0.003)	0.693 (0.004)
SVM	0.719 (0.008)	0.791 (0.012)	0.753 (0.004)	0.711 (0.004)