Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models (Chapman & Hall/Crc Data Science) - Softcover

Buch 9 von 36: Chapman & Hall/CRC Data Science

Biecek, Przemyslaw; Burzykowski, Tomasz

 
9780367693923: Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models (Chapman & Hall/Crc Data Science)

Inhaltsangabe

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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Flipbook: https://betaandbit.github.io/RML_ES/

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9780367135591: Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models (Chapman & Hall/Crc Data Science)

Vorgestellte Ausgabe

ISBN 10:  0367135590 ISBN 13:  9780367135591
Verlag: Chapman and Hall/CRC, 2021
Hardcover