How to increase , precision-recall value in your Deep learning model

Question

I am getting good accuracy metrics around 80 with precision =66, recall =37, F1 =47. How can I improve precision, and recall metrics in anomaly detection scenarios.. any suggestions?

Answer 1

I think this ways will help you :

1. Feature engineering
2. Use ensemble methods
3. Adjusting thresholds
4. Collect more data
5. Use data augmentation and oversampling
6. Use a different algorithm, such as autoencoders or one-class SVM
7. Tune the hyperparameters