Random Forest algorithm is a popular, supervised machine learning algorithm which can be used for both classification and regression.
It is based on the concept of ensemble learning, which is a process of combining multiple classifiers to solve a complex problem and to improve the performance of the model.
We are continuing to develop our algorithms specifically with Random Forest algorithm this time.