000			01322nam a22001577a 4500
008			240313b2021 |||||||| |||| 00| 0 eng d
020			_a9780367693923
082			_a519.5 BIE-P
100			_aBiecek, Przemyslaw
245			_aExplanatory model analysis : _bexplore, explain and examine predictive models / _cPrzemyslaw Biecek and Tomasz Burzykowski
260			_aBoca Raton _bCRC Press _c2021
300			_a309 p.
500			_aExplanatory model analysis explore, explain and examine predictive model is a set of methods and tools designed to build better predictive models and to monitor their behavior in a changing environment. Today the true bottleneck in predictive modeling 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 relationship 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 agnostics methods that may be used for any black box model together with real world applications to classification and regression problems.
650			_aStatistics
700			_aBurzykowski, Tomasz
999			_c92110 _d92110