Advantages:
1. Random Forest algorithm is less prone to overfitting than Decision Tree and other algorithms
2. Random Forest algorithm outputs the importance of features which is a very useful
Disadvantages:
1. Random Forest algorithm may change considerably by a small change in the data.
2. Random Forest algorithm computations may go far more complex compared to other algorithms.
End Notes:
I hope you liked this post. For Top 5 Random Forest Algorithm Advantages and Disadvantages, you may like to watch the below video…
