What is overfitting?
Overfitting is a common phenomenon you should look out for any time you are training a machine learning model. Overfitting happens when a model learns the pattern as well as the noise of the data on which the model is trained. Specifically, the model picks up on patterns that are specific to the observations in the training data but do not generalize to other observations. And hence the model is able to make great predictions on the data it was trained on but is not able to make good predictions on data it did not see during training.
How to Solve Overfitting in Random Forest in Python Sklearn?
In this article, we are going to see the how to solve overfitting in Random Forest in Sklearn Using Python.