Deep Multiple Kernel Learning for Prediction of MicroRNA Precursors

Table 2

Comparison of prediction performance of LMKL-D with LMKL.

Dataset	Methods	SE (%)	SP (%)	GM (%)	ACC (%)	AUC
Training set	LMKL	87.47	99.60	93.34	97.17	0.9352
	LMKL-D	91.33	99.22	95.19	97.64	0.9535
Test set	LMKL	88.71	99.60	94.00	97.42	0.9407
	LMKL-D	93.06	99.27	96.11	98.03	0.9611
Training set	LMKL	87.83	99.60	93.53	97.24	0.9383
And test set	LMKL-D	91.83	99.23	95.46	97.75	0.9574