Table 7.

Results of ensembles modeling by combination of 60%/40% and raster resolution of 10 m.

Criteria	ADTree		RF		RS		BA		MB
	T	V	T	V	T	V	T	V	T	V
True positive	77	27	73	28	76	28	75	28	80	28
True negative	81	23	77	22	79	21	78	21	78	22
False positive	0	3	8	2	5	2	6	2	1	8
False negative	4	7	4	8	2	9	3	9	3	2
Sensitivity	0.951	0.794	0.948	0.778	0.974	0.757	0.962	0.757	0.964	0.933
Specificity	1.000	0.885	0.906	0.917	0.940	0.913	1.000	0.913	0.987	0.733
Accuracy	0.975	0.833	0.926	0.833	0.957	0.817	0.981	0.817	0.975	0.833
AUROC	0.979	0.862	0.984	0.898	0.997	0.901	0.983	0.893	0.996	0.892

T, training dataset; V, validation dataset.