Explanatory Model Analysis : Explore, Explain, and Examine Predictive Models PDF
by Przemyslaw Biecek, Tomasz (Hasselt University, Belgium) Burzykowski
Part of the Chapman & Hall/CRC Data Science Series series
Description
Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment.
Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models.
It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance).
This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.
Information
-
Download - Immediately Available
- Format:PDF
- Pages:324 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:17/03/2021
- Category:
- ISBN:9780429651373
Other Formats
- Hardback from £120.00
- Paperback / softback from £43.45
- EPUB from £41.39
Information
-
Download - Immediately Available
- Format:PDF
- Pages:324 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:17/03/2021
- Category:
- ISBN:9780429651373