TY  - BOOK
AU  - Biecek,Przemyslaw
AU  - Burzykowski,Tomasz
TI  - Explanatory model analysis: explore, explain, and examine predictive models 
T2  - Chapman & Hall/CRC data science series
SN  - 9780429648731
AV  - QA401 .B54 2021
U1  - 511/.8 23
PY  - 2021///
CY  - Boca Raton
PB  - CRC Press
KW  - Mathematical models
KW  - BUSINESS & ECONOMICS / Statistics
KW  - bisacsh
KW  - COMPUTERS / Artificial Intelligence
KW  - COMPUTERS / Computer Vision & Pattern Recognition
N1  - "A Chapman & Hall Book" -- title page; 1. Introduction. -- 2. Prediction Understanding. -- 3. Model Understanding. -- 4. Model Fidelity. -- 5. Other Topics
N2  - 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
UR  - https://www.taylorfrancis.com/books/9780429027192
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -