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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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