Question: You are given 1 0 0 training examples having equal weights. In the first round of Adaboost, the accuracy of the classifier is 9 0

You are given 100 training examples having equal weights. In the first round of
Adaboost, the accuracy of the classifier is 90%. What will be the updated weights of the
correctly classified examples and misclassified examples after normalization is done?
What is the weight of the classifier?
You are given 100 training examples having equal weights. In the

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