ml-recall

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2 questions from Decision Trees & Ensembles

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2 questions · 2 min · score and explanations at the end

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Question 1: Short answer

hardAI-checkedDecision Trees & Ensembles

Three rounds of boosting on 10 points produce $H(x) = \operatorname{sign}(0.693\,h_E(x) + 0.549\,h_B(x) + 0.444\,h_A(x))$ , where each $h$ outputs $\pm 1$ and the weak classifiers misclassify these points: $h_E$ : 3, 10; $h_B$ : 1, 6, 7, 9; $h_A$ : 2, 3, 4, 5. How many of the 10 training points does $H$ classify correctly?

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