A Strong Classifier Is A Linear Combination Of A Weak Classifier When Using An Adaboost

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Saurav kumar

Asked: December 31, 2023In: Computer Science

Which of the following is not accurate about the AdaBoost? In an Adaboost, a strong classifier is a linear combination of a weak classifier When using an Adaboost, it focuses on the correctly classified examples in the following round Adaboost selects only those features that help to improve the classifier accuracy Adaboost cuts down features of an image significantly

Which of the following is not accurate about the AdaBoost? In an Adaboost, a strong classifier is a linear combination of a weak classifier When using an Adaboost, it focuses on the correctly classified examples in the following round Adaboost selects only those ...

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