Sleep Staging on MGH (test)
0.816AccuracyCNN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CNN2019.10 | 0.816 | 0.874 | 0.742 | |
| SLEEPER-LRPrototypes=96, Classifier=Logistic Regression2019.10 | 0.798 | 0.861 | 0.714 | |
| SLEEPER-GBTPrototypes=96, Classifier=Gradient Boosting Trees2019.10 | 0.788 | 0.854 | 0.7 | |
| SLEEPER-DTPrototypes=96, Classifier=Decision Tree2019.10 | 0.783 | 0.85 | 0.694 | |
| Mimic learning - GBTClassifier=Gradient Boosting Trees2019.10 | 0.675 | 0.786 | 0.54 | |
| Rule & DTRules=96, Classifier=Decision Tree2019.10 | 0.661 | 0.757 | 0.51 | |
| Rule & GBTRules=96, Classifier=Gradient Boosting Trees2019.10 | 0.658 | 0.753 | 0.508 | |
| Rule & LRRules=96, Classifier=Logistic Regression2019.10 | 0.653 | 0.75 | 0.498 |