Classification models

Unlike regression models, where the model predicts a continuous number, classification models are used to predict a category among a given list of categories. The business problem discussed previously, where we have data related to customers of an e-commerce website over the last three months containing the purchase history of a particular product as (c_id, p_id, age, gender, nationality, salary, purchased[yes/no]). Our objective, as before, is to identify a customer who would be likely to purchase the product based upon their purchase history. Based on the permutation of all independent variables (age, gender, nationality, salary), a classification model can make a prediction in terms of 1 and 0, 1 being the prediction that a given customer will purchase the product, and 0 being that they won't. In this particular case, there are two categories (0 and...