Random Forest Classifier

A machine learning algorithm that creates multiple decision trees during training and outputs the class that is the mode of the individual trees predictions. Random forests are widely used in gesture recognition, activity recognition, and other classification tasks in assistive technology because they handle high-dimensional sensor data well, are relatively robust to overfitting, and can achieve high accuracy with moderate computational requirements suitable for real-time applications on mobile and wearable devices.