Logistic regression is a statistical method used to predict binary outcomes, like whether an event will happen or not. It can also be used for predicting outcomes with more than two categories. Predictive modeling, which uses past data to predict future events, is crucial for selecting the right regression model. Regression analysis helps predict continuous outcomes based on multiple factors. A churn model can predict customer turnover and help businesses retain customers. This study aims to help practitioners estimate risk factors accurately and make informed decisions based on probability.