Table 5 A comparison of three classification methods
From: A high-throughput stereo-imaging system for quantifying rape leaf traits during the seedling stage
Methods of classification | Predicted group accuracy | Leave-one-out cross-validated (LOO-CV) | |||
|---|---|---|---|---|---|
Mosaic | Semi-mosaic | Round | Total (n = 399) | ||
Stepwise discriminant analysis | 98.3% | 90.3% | 100.0% | 92.7% | 94.4% |
Support vector machine (SVM) | 100% | 92.4% | 92.6% | 94.7% | 95.6% |
Random forests classifier | 99.2% | 87.5% | 89.6% | 91.7% | 94.8% |