What are some real-world applications of Decision Trees?

Real-World Applications of Decision Trees:

1. Medical Diagnosis: Used to predict diseases by analyzing symptoms, test results, and patient history.
2. Customer Churn Prediction: Helps businesses identify which customers are likely to stop using their services.
3. Loan Approval in Banks: Assists in deciding whether an applicant is eligible for a loan based on income, credit history, and other factors.
4. Fraud Detection: Detects unusual patterns in transactions that may indicate fraudulent activities.
5. Student Performance Prediction: Estimates students’ academic performance based on study habits, attendance, and past results.