Wrap-up

Machine Learning with Tree-Based Models in R

Sandro Raabe

Data Scientist

1. Data splitting - confusion matrix - accuracy

 

 

2. Regression - cross-validation - bias-variance tradeoff

 

 

3. Tuning - AUC - bagging - random forest

 

4. Boosting & model comparison

 

 

 

Thank you!

Machine Learning with Tree-Based Models in R