Food Classification on Custom Food Dataset Vegetarian vs Non-Vegetarian (test)
99.13AccuracySVM
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| SVMClassifier type=Machine Learning2026.03 | 99.13 | 0.0006 | 0.0006 | 99.88 | 99.19 | 99.03 | 99.12 | |
| Random ForestClassifier type=Machine Learning2026.03 | 98.89 | 0.0011 | 0.0011 | 98.84 | 98.03 | 98.09 | 98.99 | |
| Logistic RegressionClassifier type=Machine Learning2026.03 | 98.63 | 0.0037 | 0.0037 | 98.44 | 98.83 | 98.63 | 98.98 | |
| Proposed ModelFramework=Continual Learning2026.03 | 98.38 | 0.397 | 0.0147 | 96.9 | 99.36 | 98.11 | 98.08 | |
| KNNClassifier type=Machine Learning2026.03 | 96.22 | 0.0378 | 0.0378 | 92.97 | 100 | 96.35 | 98.74 |