Table 2 The classification results of different models based on the same features.
From: A novel detection method for wheat aging based on the delayed luminescence
Model name | Average training classification accuracy (%) | Average testing classification accuracy (%) |
|---|---|---|
SVM (Support Vector Machine) | 82.13 | 74.00 |
GNB (Gaussian Naive Bayes) | 85.63 | 78.00 |
LDA (Linear Discriminant Analysis) | 78.50 | 69.00 |
DT (Decision Tree) | 90.38 | 72.00 |
Bi-LSTM network | 87.30 | 87.00 |
Walsh-Bi-LSTM network | 99.60 | 94.00 |
