About this document
Optimizing Evaluation Metrics for Classifiers by Sabit Ezaz is a document available to read on EtoBox.
The document reviews evaluation metrics used to select the optimal classifier during training. It discusses how accuracy is commonly used but has limitations, and reviews other metrics designed for discriminating solutions. It recommends aspects to consider when constructing new discriminator metrics, especially for prototype selection classifiers.
- Author
- Sabit Ezaz
- Language
- EN