Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models

Przemyslaw Biecek

ISBN 10: 0367693925 / ISBN 13: 9780367693923

Published by Taylor & Francis Ltd, 2022

About this Item

2022. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.

Seller Inventory # V9780367693923

Bibliographic Details

• Title: Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models
• Publisher: Taylor & Francis Ltd
• Publication Date: 2022
• Language: English
• ISBN 10: 0367693925
• ISBN 13: 9780367693923
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.

About the Author

Przemyslaw Biecek is a professor in human-oriented machine learning at the Warsaw University of Technology and Principal Data Scientist in Samsung R&D Institute Poland. His main research project is DrWhy.AI - tools and methods for exploration, explanation, visualisation, and debugging of predictive models.

Tomasz Burzykowski is professor of biostatistics at Hasselt University and Vice-President for Research at International Drug Development Institute (IDDI). He has published extensively on applications of statistics in medicine and biology.