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