Random Forest
A machine learning algorithm used for classification and regression that creates a forest of random decision trees as an ensemble learning method.
Areas of application
- image recognition
- natural language processing
- recommendation systems
- fraud detection
- medical diagnosis
Example
Random Forest is often used in image recognition applications to classify images into different categories, such as objects, scenes, or actions. For example, a Random Forest model could be trained on a dataset of images of dogs and cats to recognize the difference between the two species.