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Decision Trees II

Decision Trees II. CSC 576: Data Mining. Today. Decision Trees Overfitting / Underfitting Bias-Variance Tradeoff Pruning Regression Trees Ensemble Learners Boosting Bagging Random Forests. Training Set vs. Test Set. Overall dataset is divided into:

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632 views • 62 slides

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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249 views • 10 slides

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Low training error rate - PowerPoint PPT Presentation

Decision Trees II

Boosting