000			01917nam a22002297a 4500
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008			241129b |||||||| |||| 00| 0 eng d
020			_a9780367693923
082			_a511.8 _bBIE
100			_aBiecek, Przemyslaw _919134
245			_aExplanatory model analysis: _bexplore, explain, and examine predictive models
260			_bCRC Press _aBoca Raton _c2021
300			_axiii, 309 p.
365			_aGBP _b45.99
490			_aChapman & Hall/CRC Data Science Series
500			_aTable of content: 1. Introduction. 2. Prediction Understanding. 3. Model Understanding. 4. Model Fidelity. 5. Other Topics. [https://www.routledge.com/Explanatory-Model-Analysis-Explore-Explain-and-Examine-Predictive-Models/Biecek-Burzykowski/p/book/9780367693923]
520			_aExplanatory 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. (https://www.routledge.com/Explanatory-Model-Analysis-Explore-Explain-and-Examine-Predictive-Models/Biecek-Burzykowski/p/book/9780367693923]
650			_aModel analysis _919135
650			_aPredictive models _919136
700			_aBurzykowski, Tomasz _919137
942			_cBK _2ddc
999			_c7771 _d7771