What You'll Gain

• Correct metric selection and interpretation
• Strong validation strategies for different datasets
• Reliable tuning workflows without leakage

Why Choose This Book

It helps you avoid misleading evaluation and build reproducible experiments you can defend.

Who Should Read This Book

ML learners and practitioners who want trustworthy evaluation and tuning practices.

Best Use

Use it as a checklist while building and comparing models.