Describe how a machine will classify a raw mango from images of other fruits.

The machine is first trained using a labelled dataset containing images of a raw mango and other fruits. During training, the machine learning algorithm learns the important features of a raw mango, such as its colour, shape, and texture. When a new image is given, the machine compares it with the features learnt during training and classifies it as a raw mango if the features match, otherwise it identifies it as a different fruit.