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ml-recall

#weighted-error

1 question from Decision Trees & Ensembles

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Question 1: Short answer

hardAI-checkedDecision Trees & Ensembles

Boosting on 10 points uses four weak classifiers, misclassifying B: {1, 5, 6, 9}, D: {1, 4, 7, 8}, F: {2, 7}, I: {2, 3, 8, 10}. Weights start at 1/101/10; each round picks the smallest weighted error (ties alphabetically) and then rescales the misclassified points to total weight 1/21/2 and the rest to 1/21/2. Round 1 picks F and round 2 picks B. What is the weighted error of the classifier picked in round 3? Round to 3 decimals.

a decimal, 3 decimal places