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True or false? AdaBoost will eventually reach zero training error, regardless of the type of weak classifier it uses, provided enough weak classifiers have been combined.
in Data Science by Diamond (49,543 points) | 5 views

1 Answer

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False! If the data is not separable by a linear combination of the weak classifiers, AdaBoost can’t achieve zero training error.
by Wooden (693 points)

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asked Apr 19 in Grade 9 Science by Tedsf Diamond (49,543 points) | 18 views

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