Random forest is a popular and powerful machine learning algorithm that can handle both classification and regression problems. It is based on the idea of creating a large number of decision trees ...

Ensemble methods like Random Forest, Decision Tree, XGboost algorithms have shown very good results when we talk about classification. These algorithms give high accuracy at fast speed. Both the two ...

Nature. Decision Tree: A single decision tree structure used in making decisions based on features of the dataset. Random Forest: An ensemble of multiple decision trees that combine the output for ...

Our analysis revealed that Random Forest consistently outperformed other models in balancing predictive accuracy and alignment with financial forecasts. Among the tested configurations, the ...

Random Forest classification algorithm is a data mining algorithm with high classification accuracy. During the construction of the random forest, personal privacy may be leaked. Aiming at the ...

In this paper, the Random Forest algorithm has been clarified and used in analyzing the students' performance, as a dataset. The result showed that the clarified method of the aforementioned algorithm ...