Random forest - Evaluation

Repeat the process until the desired amount of trees is reached. Bootstrap and random feature selection ensure variation in the created trees. To evaluate the forest, we run each sample on each generated tree and we look at the results. The sample is classified based on the class selected by the majority of the trees.