Machine Learning Evaluation

Machine Learning Evaluation

Towards Reliable and Responsible AI

Boukouvalas, Zois; Japkowicz, Nathalie

Cambridge University Press

11/2024

426

Dura

9781316518861

15 a 20 dias

Descrição não disponível.
Part I. Preliminary Considerations: 1. Introduction; 2. Statistics overview; 3. Machine learning preliminaries; 4. Traditional machine learning evaluation; Part II. Evaluation for Classification: 5. Metrics; 6. Re-sampling; 7. Statistical analysis; Part III. Evaluation for Other Settings: 8. Supervised settings other than simple classification; 9. Unsupervised learning; Part IV. Evaluation from a Practical Perspective: 10. Industrial-strength evaluation; 11. Responsible machine learning; 12. Conclusion; Appendices: A. Statistical tables; B. Advanced topics in classification metrics; References; Index.
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