TABLE 3.

The PSATF-6mA model selects XGBoost and Adaboost as integrated classifiers.

Model	Method	Sn	Sp	Pre	Acc	MCC	AUROC	AUPRC
XGBoost	binary	87.7140	69.6840	79.3940	78.7740	0.5651	0.8418	0.8493
	Kmer	63.0420	75.1920	74.3940	69.0540	0.3929	0.7505	0.7722
	NCP	87.2440	70.4560	79.5340	78.9180	0.5725	0.8229	0.8250
	ENAC	80.5980	72.4060	79.4540	76.5320	0.5296	0.8172	0.8313
	PSATF-6mA	99.4940	98.7500	98.8060	99.1260	0.9826	0.9991	0.9991
AdaBoost	binary	74.3880	73.9860	78.7220	74.1780	0.4914	0.8125	0.8236
	Kmer	65.3160	68.7860	69.0540	67.0320	0.3438	0.7268	0.7307
	NCP	74.3880	74.0600	78.7260	74.2160	0.4922	0.8123	0.8233
	ENAC	76.0460	71.6680	76.980	73.8660	0.4813	0.8094	0.8107
	PSATF-6mA	97.3980	94.7760	95.3220	96.1000	0.9232	0.9864	0.9797

The bold font represents the experimental results of the model in this article.