What is Random Forest?

Random Forest is a supervised machine learning algorithm that uses an ensemble of decision trees to make predictions. It operates by constructing multiple decision trees during training and outputting the mode of the classes (classification) or mean prediction (regression) of the individual trees. Random forests are known for their high accuracy, robustness to outliers, and ability to handle high-dimensional data. They are commonly used in various applications such as image classification, object detection, medical diagnosis, fraud detection, and financial modeling.