TABLE 3. Results Achieved on the Testing Set.

Category	Algorithm	Accuracy (%)	F1-score (%)	Specificity (%)	Precision (%)	Recall (%)	AUC
Bayes	NB	90.24	54.55	91.05	41.38	80.00	0.861
	BN	89.76	58.82	88.95	41.67	100	0.945
Functions	SVM	97.07	82.35	97.37	73.68	93.33	0.954
	SGD	95.12	66.67	97.37	66.67	66.67	0.820
Lazy	Ibk	93.17	50.00	96.84	53.85	46.67	0.718
	LWL	89.76	58.82	88.95	41.67	100	0.971
Meta	Adaboost	91.22	55.00	92.63	44.00	73.33	0.963
	Bagging	92.20	50.00	95.26	47.06	53.33	0.965
Rules	OneR	88.78	34.29	92.63	30.00	40.00	0.663
	DT	91.22	35.71	95.79	38.46	33.33	0.829
Tree	J48	93.66	60.61	95.79	55.56	66.67	0.954
	REPTree	91.22	52.63	93.16	43.48	66.67	0.948