A simple example from the stock market involving only discrete ranges has profit as categorical attribute, with values {Up, Down) and the training data is:

Apply decision tree algorithm and show the generated rules.

Classification :

Classification predicts categorical class labels and classifies data (constructs a model) based on the training set and the values (class labels) in a classifying attribute and use it in classifying new data. It is supervised learning i.e., the training data (observations, measurements, etc are accomplished by labels indicating …