000 03097cam a2200577Ii 4500
001 9780429027192
003 FlBoTFG
005 20220509193121.0
006 m d
007 cr |||||||||||
008 201116t20212021flua ob 001 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9780429648731
_qelectronic publication
020 _a0429648731
_qelectronic publication
020 _a9780429651373
_qelectronic book
020 _a0429651376
_qelectronic book
020 _a9780429027192
_qelectronic book
020 _a0429027192
_qelectronic book
020 _a9780429646096
_q(electronic bk. : Mobipocket)
020 _a0429646097
_q(electronic bk. : Mobipocket)
020 _z9780367135591
_qhardcover
024 7 _a10.1201/9780429027192
_2doi
035 _a(OCoLC)1233304562
035 _a(OCoLC-P)1233304562
050 4 _aQA401
_b.B54 2021
072 7 _aBUS
_x061000
_2bisacsh
072 7 _aCOM
_x004000
_2bisacsh
072 7 _aCOM
_x016000
_2bisacsh
072 7 _aPBT
_2bicssc
082 0 4 _a511/.8
_223
100 1 _aBiecek, Przemyslaw,
_eauthor.
245 1 0 _aExplanatory model analysis :
_bexplore, explain, and examine predictive models /
_cPrzemyslaw Biecek, Tomasz Burzykowski.
250 _aFirst edition.
264 1 _aBoca Raton :
_bCRC Press,
_c2021.
264 4 _c©2021
300 _a1 online resource (xiii, 311 pages).
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
490 1 _aChapman & Hall/CRC data science series
500 _a"A Chapman & Hall Book" -- title page.
500 _a1. Introduction. -- 2. Prediction Understanding. -- 3. Model Understanding. -- 4. Model Fidelity. -- 5. Other Topics.
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.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aMathematical models.
650 7 _aBUSINESS & ECONOMICS / Statistics
_2bisacsh
650 7 _aCOMPUTERS / Artificial Intelligence
_2bisacsh
650 7 _aCOMPUTERS / Computer Vision & Pattern Recognition
_2bisacsh
700 1 _aBurzykowski, Tomasz,
_eauthor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429027192
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c130238
_d130238