Table 1.

Performance comparison of yORIpred with the predictors based on feature fusion approach

Species	Method	MCC	ACC	Sn	Sp	AUC	P-value
K. lactis	yORIpred	0.865	0.932	0.946	0.919	0.955	—
	FF-RF	0.757	0.878	0.899	0.858	0.937	0.353
	FF-ERT	0.779	0.889	0.919	0.858	0.939	0.404
	FF-GB	0.770	0.885	0.885	0.885	0.932	0.246
	FF-ANN	0.730	0.865	0.878	0.851	0.897	0.010
	FF-SVM	0.703	0.851	0.872	0.831	0.913	0.049
P. pastoris	yORIpred	0.790	0.895	0.909	0.881	0.946	—
	FF-RF	0.563	0.782	0.781	0.782	0.828	<0.0001
	FF-ERT	0.577	0.788	0.778	0.799	0.833	<0.0001
	FF-GB	0.560	0.780	0.778	0.782	0.818	<0.0001
	FF-ANN	0.540	0.770	0.775	0.766	0.820	<0.0001
	FF-SVM	0.521	0.760	0.752	0.769	0.799	<0.0001
S. cerevisiae	yORIpred	0.755	0.877	0.862	0.892	0.917	—
	FF-SVM	0.513	0.756	0.719	0.793	0.812	<0.0001
	FF-RF	0.513	0.756	0.724	0.787	0.812	<0.0001
	FF-ERT	0.524	0.762	0.745	0.778	0.809	<0.0001
	FF-GB	0.521	0.760	0.736	0.784	0.802	<0.0001
	FF-ANN	0.465	0.733	0.707	0.758	0.788	<0.0001
S. pombe	yORIpred	0.970	0.985	0.991	0.979	0.994	—
	FF-SVM	0.944	0.972	0.988	0.955	0.989	0.322
	FF-RF	0.950	0.975	0.994	0.955	0.994	1.0
	FF-ERT	0.950	0.975	0.988	0.961	0.982	0.045
	FF-GB	0.950	0.975	0.988	0.961	0.984	0.082
	FF-ANN	0.962	0.981	0.994	0.967	0.994	1.0

The first and second columns, respectively, represent species and its corresponding prediction method. A P-value <0.05 was considered to indicate a statistically significant difference between yORIpred and the selected method (shown in italic).