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In AdaBoost, suppose a weak learner achieves a weighted error of epsilon = 0.2. ...
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In AdaBoost, suppose a weak learner achieves a weighted error of epsilon = 0.2. Using alpha = 0.5 * ln((1 - epsilon) / epsilon), what is the learner weight alpha?
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