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To use this software, run the predict.py file.

You will be prompted to enter customer information, including details such as age, job, marital status, education level, housing loan status, and more.

Valid options for categorical inputs will be provided for guidance. Based on the input data, the software will calculate the probabilities for each outcome (yes or no) and provide a prediction for whether the customer is likely to respond positively.

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Client Behavior Prediction: A Study on Term Deposit Subscriptions Using Machine Learning

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