• What is an ensemble?
• Why is an ensemble more effective than a single decision tree model?
• How many models should I choose to build a robust ensemble?
• What is the difference between Bagging, Random Decision Forest and Boosted Tree? Which one should I use?
• Is it possible to put more or less weight on each instance when building an ensemble?
• How can I change the instances weight when training a model or an ensemble?
• Why am I getting different results when building two Bagging ensembles if I am using the same dataset?