What are Random Forests in Machine Learning?

What are Random Forests in Machine Learning?

Random Forests is an ensemble learning method that uses multiple decision trees to improve accuracy and control overfitting.

How do I implement Random Forests in Python?

You can use the RandomForestClassifier or RandomForestRegressor from the sklearn.ensemble module in Python.

What are the advantages of using Random Forests?

Some advantages include robustness to overfitting, ability to handle large datasets, and providing feature importance.

Can you give me an example of using Random Forests?

Sure! Here's a simple example using the Iris dataset to classify species based on features.