Statistical Classification is a supervised learning method used to classify new observations into one of the known categories.This process involves using a training dataset to build a model that is able to predict the category of the observed data based on its features. In statistical classification, statistical models such as logistic regression, decision trees, support vector machines, etc. are often used to accomplish this task. These models learn the relationship between the features of the training data and the class labels, and are then used to classify new data.