Understanding Random Forest Classification and Building a Model in Python

Learn how the random forest algorithm works for the classification task.

Random forest is a supervised learning algorithm. It can be used both for classification and regression. It is also the most flexible and easy to use the algorithm. A forest is comprised of trees. It is said that the more trees it has, the more robust a forest is. The random forest creates decision trees on randomly selected data samples, gets a prediction from each tree, and selects the…