Advantages of Random Forest
- Random Forest is capable of performing both Classification and Regression tasks.
- It is capable of handling large datasets with high dimensionality.
- It enhances the accuracy of the model and prevents the overfitting issue.
Disadvantages of Random Forest
- Although random forest can be used for both classification and regression tasks, it is not more suitable for Regression tasks.