From: A real-time phenotyping framework using machine learning for plant stress severity rating in soybean
Algorithm | Accuracy | MPCAa | Cross validated MPCA | Interpretability | Cost metric |
---|---|---|---|---|---|
CT | 99.7 | 91.7 | 78.4 | Low | 0.0027 |
Hierarchyb | 99.2 | 90.7 | 79.2 | High | 0.0082 |
Hierarchyc | 98.3 | 84.0 | 79.0 | High | 0.0201 |
QDA | 98.5 | 83.2 | 77.9 | Medium | 0.0201 |
NB | 98.4 | 79.0 | 78.5 | Medium | 0.0284 |
KNN | 99.5 | 75.8 | 84.3 | Low | 0.0073 |
RF | 99.1 | 75.0 | 81.1 | Low | 0.0092 |
GMMB | 99.4 | 74.2 | 82.7 | Low | 0.0064 |
LDA | 98.5 | 71.7 | 76.9 | High | 0.0156 |
SVM | 97.3 | 45.8 | 45.3 | Low | 0.0458 |