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Ensemble Methods: Bagging and Boosting Piyush Rai Machine Learning (CS771A) Oct 26, 2016 Machine Learning (CS771A) Ensemble Methods: Bagging and Boosting 1 Voting or Averaging of predictions of multiple pre-trained models “Stacking”: Use predictions of multiple models as “features” to train a new model and use the new model to make predictions on test data Some Simple Ensembles Machine Learning (CS771A) Ensemble Methods: Bagging and Boosting 2 “Stacking”: Use predictions of multiple models as “features” to train a new model and use the new model to make predictions on test data Some Simple Ensembles Voting or Averaging of predictions of multiple pre-trained models Machine Learning (CS771A) Ensemble Methods: Bagging and Boosting 2 Some Simple Ensembles Voting or Averaging of predictions of multiple pre-trained models “Stacking”: Use predictions of multiple models as “features” to train a new model and use the new model to make predictions on test data Machine Learning (CS771A) Ensemble Methods: Bagging and Boosting 2
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