ENGLISH

Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models (Chapman & Hall/CRC Data Science Series)

By Tomasz Burzykowski , Przemysław Biecek

Book information

Publisher
Chapman and Hall/CRC
ISBN
9780367135591, 9780367693923, 9780429027192, 0367135590
Language
english
Format
EPUB
Filesize
26 MB (27484210 bytes)
Pages
324\0
Library
SoftArchive
Time added
2023-07-17 06:36:50

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.

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