Comparison of Geographical Traceability of Wild and Cultivated Macrohyporia cocos with Different Data Fusion Approaches

Table 2

The classification efficiency and total accuracy rates of different data fusion strategies in wild samples.

Data source	Model	Calibration set					Total accuracy (%)	Validation set					Total accuracy (%)
		Class 1	Class 2	Class 3	Class 4	Class 5		Class 1	Class 2	Class 3	Class 4	Class 5
Low-level	PLS-DA	1	1	1	1	1	100	0.47	0.71	0.97	0.97	0.97	76.19%
	RF	0.82	0.70	0.98	0.91	0.98	85.00	0.64	0.50	1	0.97	0.97	76.19%
Mid-level PCA	PLS-DA	0.85	0.91	0.98	1	0.98	92.50	0.50	0.84	1	0.97	0.93	80.95%
	RF	0.60	0.71	0.98	0.91	0.86	77.50	0.50	0.49	1	0.97	0.86	71.43%
Mid-level Boruta	PLS-DA	0.94	0.99	1	1	1	97.50	0.97	0.87	1	1	1	95.24%
	RF	0.75	0.68	1	1	1	85	0.84	0.84	1	1	1	90.48%
High-level PCA	PLS-DA	0.98	0.91	1	1	1	97.50	0.49	0.69	0.97	0.97	0.97	76.19%
	RF	0.70	0.80	0.98	0.91	0.92	82.50	0.50	0.87	1	1	0.86	80.95%
High-level Boruta	PLS-DA	1	1	1	1	1	100	0.50	0.69	1	0.91	0.97	76.19%
	RF	0.92	0.90	1	1	1	95	0.71	0.84	1	0.97	0.97	85.71%