StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens

Table 4 Performance comparison of different models trained based on different ensemble strategies

Evaluation strategy	Ensemble strategy	ACC	Sn	Sp	MCC	AUC
Cross-validation	Average score	0.792	0.726	0.858	0.589	0.887
	Majority voting	0.782	0.734	0.831	0.568	0.887
	Stacking	0.879	0.896	0.861	0.760	0.935
Independent test	Average score	0.823	0.754	0.891	0.651	0.910
	Majority voting	0.814	0.763	0.866	0.632	0.905
	Stacking	0.932	0.958	0.908	0.866	0.962

ISSN: 1471-2105