Optimal classifier - PowerPoint PPT Presentation

Quiz 3: Mean: 9.2 Median: 9.75 Go over problem 1

Quiz 3: Mean: 9.2 Median: 9.75 Go over problem 1. Go over Adaboost examples. Fix to C4.5 data formatting problem?. Quiz 4. Alternative simple (but effective) discretization method (Yang &amp; Webb, 2001).

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Boosting

Boosting. Main idea: train classifiers (e.g. decision trees) in a sequence. a new classifier should focus on those cases which were incorrectly classified in the last round. combine the classifiers by letting them vote on the final prediction (like bagging).

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157 views • 10 slides

Boosting

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124 views • 10 slides

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