Data Mining 2

Next we look at techniques to combine multiple classifiers/regressors to produce a model with better predictive performance than a single classifier.

Introduction to Ensemble Learning
In today's lecture we will cover the basics of ensemble learning -- bagging, boosting etc
- Ensemble learners
- Bootstrapping and Bagging
- Boosting, AdBoost
- Handout
- Presentation
Practical 05 - Ensemble Learners
This practical focuses on a few ensemble models with a bit of hyper-parameter training.
- Open
Practical 06 - Stacked Models
This practical focuses on building a stacked ensenble model.
- Open