How does Random Forest work?

Can you explain how the Random Forest algorithm works?

Sure! Random Forest is an ensemble learning method that combines multiple decision trees to improve accuracy.

What are the advantages of using Random Forest over a single decision tree?

Random Forest reduces overfitting, increases accuracy, and provides better generalization on unseen data.

How does it handle missing values?

It can handle missing values by using surrogate splits, which allows it to make predictions even with incomplete data.

Can you give me an example of its application?

Absolutely! Random Forest is commonly used in classification tasks like spam detection and medical diagnosis.