ml-recall

#classifier-weight

1 question from Decision Trees & Ensembles

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Question 1: Short answer

easyAI-checkedDecision Trees & Ensembles

AdaBoost starts with equal weights $1/8$ on 8 training points. The first decision stump misclassifies exactly one of them. Its vote is $\alpha_1 = \frac{1}{2}\ln\frac{1 - \epsilon_1}{\epsilon_1}$ , where $\epsilon_1$ is its weighted training error. What is $\alpha_1$ ?

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