Title: "Mastering Model Evaluation: A Practical Guide to Machine Learning Metrics and Techniques"

By Ravindra Kumar Nayak

"Mastering Model Evaluation for Enhanced Machine Learning" offers an in-depth exploration of model evaluation in machine learning. This comprehensive guide covers essential topics, including classification and regression metrics, confusion matrices, precision-recall trade-offs, ROC and AUC analysis, cross-validation, overfitting, hyperparameter tuning, model selection, class imbalance handling, and ethical considerations. It provides real-world case studies, insights into deep learning model evaluation, and a glimpse into the future of this field. With practical code examples and exercises, this book empowers readers to assess and enhance their machine learning models. It is a valuable resource for anyone looking to master model evaluation techniques for improved machine learning outcomes.

• Format: Paperback
• Language: English
• ISBN: B0CMJ2DJGF
• ISBN13: 9798866303274
• Release Date: November 2023
• Publisher: Independently published
• Length: 90 Pages
• Weight: 0.30 lbs.
• Dimensions: 9.0" x 0.2" x 6.0"