What is a Random Forest in machine learning?
An example of an AI chatbot conversation about Random Forest in machine learning.
What is a Random Forest in machine learning?
A Random Forest is an ensemble learning method that uses multiple decision trees to improve prediction accuracy.
How does it differ from a single decision tree?
Unlike a single decision tree, a Random Forest reduces overfitting by averaging the results of multiple trees.
What are the advantages of using Random Forest?
Some advantages include high accuracy, robustness to noise, and the ability to handle large datasets with higher dimensionality.
Can you give me an example of how to implement it in Python?
Sure! You can use the RandomForestClassifier from the sklearn.ensemble module. Would you like a code snippet?
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