User Data

The dataset consists of information about users who are potential customers for a product or service. It contains four input features - User ID, Gender, Age, and Estimated Salary - which are used to predict whether or not the user purchased the product, indicated by the output or target column 'Purchased'.

The User ID is a unique identifier assigned to each user, while Gender is the user's gender, which can be either male or female. Age is the age of the user in years, and Estimated Salary is an estimate of the user's annual salary.

The dataset is likely used for binary classification tasks to determine whether or not a user is likely to purchase a particular product or service. The features provided could potentially be used to create a model that predicts the probability of a user purchasing the product based on their age, gender, and estimated salary.