About this document
Evaluation Metrics by Rishav kumar is a document available to read on EtoBox.
This document provides a comprehensive guide on classification and regression metrics used for machine learning evaluation. It explains key classification metrics such as accuracy, precision, recall, specificity, and F1-score, alongside regression metrics like MAE, MSE, and RMSE, highlighting their significance in model performance assessment. The document also includes analogies and examples to clarify the concepts and their applications.
- Author
- Rishav kumar
- Language
- EN