Decision tree learning

Decision tree learning is a way to teach computers how to make decisions like humans do. It looks at the data it is given and finds patterns in it, so it can make the best decision. Think of it like a flow chart. To start, the computer would look at one feature of the data it has been given and use that to decide which route to go down. It will then look at another feature and decide which way to go based on that. It will go down the tree until it finds the best decision for the data it has been given.