Remote Sensing–Based Urban Green Space Detection Using Marine Predators Algorithm Optimized Machine Learning Approach

Table 4

Experimental result comparison.

Phase	Metrics	MPA-SVM-13B		MPA-SVM-NDWI		MPA-SVM-NDVI		MPA-SVM-SAVI		MPA-SVM-MTCI
		Mean	Std	Mean	Std	Mean	Std	Mean	Std	Mean	Std
Training	CAR (%)	95.429	0.586	89.564	0.516	89.514	0.755	88.929	0.439	84.686	0.785
	Precision	0.941	0.009	0.882	0.008	0.885	0.011	0.881	0.008	0.819	0.009
	Recall	0.970	0.005	0.914	0.006	0.907	0.013	0.901	0.009	0.894	0.015
	NPV	0.968	0.005	0.911	0.007	0.905	0.011	0.898	0.007	0.882	0.015
	F1 score	0.955	0.006	0.897	0.006	0.896	0.008	0.891	0.005	0.855	0.008
	AUC	0.991	0.002	0.940	0.007	0.943	0.006	0.936	0.006	0.916	0.006
Testing	CAR (%)	93.100	1.411	89.400	1.356	89.300	1.729	88.983	1.062	83.850	1.698
	Precision	0.916	0.024	0.881	0.024	0.894	0.029	0.886	0.017	0.803	0.022
	Recall	0.947	0.018	0.911	0.017	0.895	0.020	0.893	0.023	0.888	0.030
	NPV	0.947	0.019	0.908	0.020	0.893	0.022	0.895	0.017	0.881	0.031
	F1 score	0.931	0.014	0.896	0.013	0.894	0.017	0.889	0.012	0.843	0.018
	AUC	0.979	0.006	0.926	0.014	0.946	0.013	0.937	0.012	0.910	0.016