Ensemble Methods: Bagging vs Boosting
Ensemble methods are techniques that create multiple models and then combine them to produce improved results. Ensemble methods usually produce more accurate solutions than a single model would.
The main causes of error in learning are due to noise, bias, and variance. Ensemble helps to minimize these factors. These methods are designed to…