Feature Selection Method Based on Partial Least Squares and Analysis of Traditional Chinese Medicine Data

Table 5

R-squared ( constant) for 6 datasets with different values.

	k = 8	k = 9	k = 10	k = 11	k = 12	k = 13	k = 14	k = 15	k = 16	k = 17
WYHXB	0.4756	0.5412	0.5881	0.6927	0.7321	0.7434	0.7408	0.7407	0.7411	0.7411
NYWZ	0.5827	0.6938	0.6521	0.7434	0.7689	0.7615	0.7452	0.7316	0.7294	0.7294
DCQT	0.1258	0.8760	0.9546	0.9417	0.9355	0.8686	0.9277	0.9277	0.9277	0.9277
CCrime	0.4517	0.4517	0.5320	0.6621	0.6708	0.6680	0.6684	0.6684	0.6684	0.6684
BreastData	0.6475	0.6475	0.5435	0.6829	0.7436	0.5697	0.5728	0.5732	0.5641	0.5641
RBuild	0.7567	0.7567	0.7567	0.8195	0.8801	0.9593	0.9404	0.9181	0.9045	0.8757