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Beschreibung
This book is about a new field in statistical machine learning - about interpretation and explanation of predictive models. Machine learning models are widely used in predictive modelling, both for regression and classification.
This book is about a new field in statistical machine learning - about interpretation and explanation of predictive models. Machine learning models are widely used in predictive modelling, both for regression and classification.
Über den Autor
Flipbook: [...]
Inhaltsverzeichnis

I. Introduction 1. Introduction. 2. Model Development. 3. Do-it-yourself. 4. Datasets and models. II. Instance Level. 5. Introduction to Instance-level Exploration. 6. Break-down Plots for Additive Attributions. 7. Break-down Plots for Interactions. 8. Shapley Additive Explanations (SHAP) for Average Attributions. 9. Local Interpretable Model-agnostic Explanations (LIME). 10. Ceteris-paribus Profiles. 11. Ceteris-paribus Oscillations. 12. Local-diagnostics Plots. 13. Summary of Instance-level Exploration. III. Dataset Level. 14. Introduction to Dataset-level Exploration. 15. Model-performance Measures. 16. Variable-importance Measures. 17. Partial-dependence Profiles. 18. Local-dependence and Accumulated-dependence Profiles. 19. Residual Diagnostics Plots. 20. Summary of Model-level Exploration. IV. Use-cases. 21. FIFA 19.

Details
Erscheinungsjahr: 2022
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9780367693923
ISBN-10: 0367693925
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Biecek, Przemyslaw
Burzykowski, Tomasz
Hersteller: Taylor & Francis Ltd
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 234 x 156 x 18 mm
Von/Mit: Przemyslaw Biecek (u. a.)
Erscheinungsdatum: 26.09.2022
Gewicht: 0,494 kg
Artikel-ID: 124144525