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What is a potential drawback of AdaBoost? A . It cannot handle categorical features B . It requires extensive preprocessing C . It cannot handle
What is a potential drawback of AdaBoost? A It cannot handle categorical features B It requires extensive preprocessing C It cannot handle missing values D Its training cannot be parallelized E It requires a large number of estimators 
What is a potential drawback of AdaBoost?
A It cannot handle categorical features
B It requires extensive preprocessing
C It cannot handle missing values
D Its training cannot be parallelized
E It requires a large number of estimators
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Intelligent Information And Database Systems Second International Conference Acids Hue City Vietnam March 2010 Proceedings Part 1 Lnai 5990
Authors: Manh Thanh Le ,Jerzy Swiatek ,Ngoc Thanh Nguyen
2010th Edition
3642121446, 978-3642121449
