Business operations have changed due to the rapid expansion of the technical infrastructure. Subscription- based services have grown in popularity because of increased digitalization, and with greater choices for services and goods, loss of customers has become a severe concern and a threat to all businesses. Businesses are developing technologies to predict potential client attrition because it has a direct influence on their profitability. To avoid losing clients, it is vital to determine the causes of this churn. Our preparation of a churn prediction model, which helps organizations identify the clients who experience churn, is the main contribution of our work. Before a classification technique is used, the customer data will go through a number of data pretreatment stages. Utilizing Support Vector Classifiers, Logistic Regression, and other classification techniques, we examined customer attrition in this work.