This interactive form allows users to input specific customer details such as contract type, tenure, and monthly charges, and predict the likelihood of churn using a classification model.
The Telco Customer Churn Dataset includes 7,000 customer observations and it is widely used for studying customer behaviour and churn prediction. It includes data on telecom customers, with attributes like tenure, monthly charges, total charges, contract type, payment method, and churn status.
This dataset is ideal for supervised learning tasks like classification, helping businesses to predict churn and develop strategies to improve customer retention. Users can explore how different inputs affect the prediction outcome, providing actionable insights for churn management.