Understanding random forests
Groups of classification trees can be combined into an ensemble that generates a single prediction by allowing the trees to "vote" on the outcome.
Why might someone think that this could result in more accurate predictions than a single tree?
This exercise is part of the course
Supervised Learning in R: Classification
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
