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Accuracy comparison of BEV and Autoencoder algorithms on two datasets: ‘brain tumor 1’ and ‘brain tumor 2’ based on the average of 10 experiments.
| Datasets | Brain tumor 1 | Brain tumor 2 | ||
|---|---|---|---|---|
| Models | Proposed BEV | Autoencoder | Proposed BEV | Autoencoder |
| KNN | 89% | 73% | 98% | 74% |
| Random Forest | 89% | 62.20% | 100% | 52% |
| SVM | 89% | 65% | 95% | 2% |
| Best features | 7 | 100 | 5 | 100 |
Significant values are in bold.
