Description

Fraud is a large scale problem which affects the various entities from public sector to private sectors including government, profit and non-profit organizations. In our process, the system is developed to detect the fraud in financial by using the machine learning algorithm. We predict the values as fraud/non fraud for more accuracy and predict the future fraud. First, we select and view the dataset for future purpose. And we split the data as training data and test data for getting to predict the values. It is essential to train the models on data which includes fraud and relevant non fraud. By using the ML algorithm the system is, to classify the fraud and non-fraud and results shows that the accuracy, precision, recall and f1-score and also prediction. This shows that method used in this project can predict the possibility of fraud accurately in most of the cases. This module is the simple and effective way to avoid such frauds and save those expenditures.