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Performance of various machine learning models in sleep stage classification.
| Classifier | Accuracy | FI Score | AUC Score |
|---|---|---|---|
| Random Forest | 95.78% | 96% | .9954 |
| ANN | 93.31% | 93.9% | .9867 |
| Decision Tree Classifier | 92.77% | 93% | .9427 |
| Logistic Regression | 77.33% | 77% | .9242 |
| Naive Bayes | 74.37% | 74% | .9011 |
