Surprise Bug Report Prediction Utilizing Optimized Integration with Imbalanced Learning Strategy

Table 8

The performance of four ensemble methods.

Projects	Evaluation	Adaboost	Bagging	Vote	OIILS
Ambari	Precision	0.298	0.295	0.276	0.311
	Recall	0.736	0.717	0.396	0.793
	F-Measure	0.424	0.418	0.326	0.447
Camel	Precision	0.387	0.383	0.373	0.409
	Recall	0.891	0.891	0.674	0.978
	F-Measure	0.539	0.536	0.481	0.577
Derby	Precision	0.213	0.207	0.222	0.229
	Recall	0.826	0.783	0.261	0.826
	F-Measure	0.339	0.327	0.24	0.359
Wicket	Precision	0.38	0.4	0.405	0.405
	Recall	0.939	0.939	0.653	1
	F-Measure	0.541	0.561	0.5	0.577
avgPrecision		0.32	0.321	0.319	0.339
avgRecall		0.848	0.833	0.496	0.899
avgF-Measure		0.461	0.461	0.387	0.49