4. Results & Findings Explained Model Performance: Present the results of the models, including confusion matrices, classification reports, and ROC curves. Compare the performance of different models and highlight the best-performing one. Key Findings: Discuss the most significant predictors of churn identified through the analysis. Use visualizations (e.g., bar plots, box plots, heatmaps) to illustrate findings. Interpretation of Results: Provide insights into what the results mean for the banking industry. Discuss any unexpected findings and their implications