Banking-Management-System
Banking management framework is a conglomeration of three distinct problem statements.
- Determine whether or not credit card activity is fraudulent by analysing data from 1000 customer credit information with 21 features.
- To determine the Loan Eligibility status using 22,60,701 consumer information and 9 features.
- Assess and analyse consumer churn using data from 10,000 customers with 14 features.
- Detection of Credit Card Fraud
| Model |
Accuracy |
F1-Score |
| Logistic Regression |
71.5% |
77% |
| Knn Classifier |
76.5% |
85% |
| Random Forest Classifier |
77.5% |
85% |
| Gradient Boosting Classifier |
75.5% |
82% |
2. Analysis of Customer Churn
| Model |
Accuracy |
F1-Score |
| Logistic Regression |
70% |
50% |
| Knn Classifier |
84% |
91% |
| Random Forest Classifier |
86% |
92% |
| Gradient Boosting Classifier |
86% |
91% |
3. Evaluation of Customer Loan Eligibility
| Model |
Accuracy |
F1-Score |
| Logistic Regression |
86% |
91% |
| Knn Classifier |
97% |
98% |
| Random Forest Classifier |
95% |
89% |
| Gradient Boosting Classifier |
94% |
84% |