Get personalized book recommendations based on your reading history and preferences. Our algorithm analyzes your favorite books and reading patterns to suggest your next great read.

“Evaluation Metrics” is a category for books that define, design, and apply measures of performance, quality, and impact across disciplines. These works explain how to select, construct, validate, and interpret metrics—covering statistical foundations, reliability and validity, fairness and bias, uncertainty, and the trade-offs that arise when optimizing for different goals. They survey quantitative and qualitative indicators used to assess models, programs, products, and policies (e.g., accuracy, precision/recall, AUC, error rates, KPIs, outcome measures), and show how metric choices shape decisions and accountability. With case studies from fields like machine learning, healthcare, education, business analytics, and public policy, this category equips researchers, analysts, and decision-makers to benchmark alternatives and improve systems with transparent, rigorous measurement.

Filter books by their publication year. Enter the earliest year (Start) and latest year (End) to find books published within that period. Leave either field empty to search from the beginning of time or up to the present day.