Cervical Cancer Diagnosis Model Using Extreme Gradient Boosting and Bioinspired Firefly Optimization

Table 7

Performance of ensemble classifiers using 30 and selected feature for Schiller target.

Features	Model	Accuracy	Sensitivity	Specificity	PPA	NPA
30	RF	93.84	94.54	93.12	93.36	94.35
	AB	86.62	85.32	88.13	89.21	83.91
	XGB	92.36	93.99	90.76	90.87	93.91
Selected	RF	95.97	95.49	96.48	96.68	95.89
	AB	89.6	86.92	92.89	93.78	85.22
	XGB	96.98	95.9	96.92	97.1	95.65