Research Article
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 |
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