Fraudulent Loan Prediction using Machine Learning Algorithms Chotwani Priyal1, Tiwari Asmita1, Hooda Madhurima2 1Student, Amity University, Noida, Uttar Pradesh, India 2Assistant Professor, Amity University, Noida, Uttar Pradesh, India Online published on 4 June, 2019. Abstract There are many frauds that are being done by the people in loans. So, here concern is about fraud loan risk which is common in banks based on various attributes. This work predominantly focused on prediction of fraud loan risk. Fraud loan risk is predicted using classification techniques in machine learning. By detecting the risk of fraud loan will support the bank for early prediction of this risk will be useful. Various data mining classification approaches and machine learning algorithms are applied for prediction of fraud loan in banking dataset. In this study, the dataset of fraud loan is experimented to explore the data mining algorithm to find outperforming algorithm. Top Keywords Machine Learning, Algorithm, Preprocessing, accuracy score, confusion matrix, classification report. Top |