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Comparison of results with train test split.
| Algorithm | USRP Dataset Accuracy | Benchmark Dataset Accuracy |
|---|---|---|
| Random Forest | 96.70% | 96.49% |
| K nearest Neighbours | 90.71% | 92.48% |
| Support Vector Machine | 81.77% | 86.21% |
| Neural network model | 93.40% | 96.11% |
| Ensemble Classifier | 93.83% | 97.74% |
