Table 4. Number of species from the 168 species classified in different accuracy classes of AUC and TSS based on two modelling techniques.

Predictor variables	Climate				Vegetation				Landscape
Evaluation method	AUC		TSS		AUC		TSS		AUC		TSS
Model technique	BRT	RF	BRT	RF	BRT	RF	BRT	RF	BRT	RF	BRT	RF
High-performance	28	35	17	19	23	27	15	21	17	28	5	10
Good-performance	61	78	28	32	53	60	21	25	35	71	19	30
Fair-performance	70	53	79	90	78	46	80	74	75	59	66	85
Poor-performance	9	2	44	27	14	28	51	48	41	5	78	43
Fail	0	0	0	0	0	7	1	0	0	5	0	0

AUC: High = AUC>0.9, Good = 0.9<AUC<0.8; Fair = 0.7<AUC<0.8; Poor = 0.6<AUC<0.7. Fail AUC<0.6.

TSS: High = TSS>0.8, Good = 0.8<TSS<0.6; Fair = 0.6<TSS<0.4 and Poor = 0.2<TSS<0.4. Fail TSS<0.4.