The project focuses one one of the major business problem the financial sector is facing is fraud detection especially loan default prediction. One of fact says that the typical financial organization losses 5% of their revenue because of the fraud. Moreover, the estimation of frauds hampering the UK econonmy is of £53 Billion per annum. Therefore, in this project financial data has been analysed and trained using the machine learning algorithm to predict the loan default based on the various financial features.
Lending Club
- Logistic Regression: 97%
- Random Forest Algorithm: 96%
- CATBOOST Model: 98%