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Classification Accuracy Rates for Food Classification Experiments (70% training data, and 30% testing) using: SIFT+BoF, SURF+BoF, GLCM+NN, GOSDM+NN, Gabor+NN, GFD+NN, MFS+NN, and EFD+NN.
| Feature type | Classification Mean | Classification Std. Dev. |
|---|---|---|
| SIFT+BoF | 75.3% | 1.5 |
| SURF+BoF | 71.8% | 1.2 |
| GLCM+NN | 57.7% | 1.9 |
| Gabor+NN | 55.2% | 1.5 |
| MFS+NN | 74.3% | 2.1 |
| EFD+NN | 79.2% | 2.1 |
| GFD+NN | 72.2% | 1.3 |
| GOSDM+NN | 65.3% | 1.9 |
