/fraud_detection

the project is about to detect the credit card fraud and compare the accuracy score and f1 score of all models and conclude the best model for this application.

Primary LanguageJupyter Notebook

fraud_detection

The project is about to detect the credit card fraud and compare the accuracy score and f1 score of all models and conclude the best model for this application.

libraries used:

numpy, pandas, seaborn,matplotlib,statmodels,xgboost,scikitlearn,metrics.

ML models to be compared

decision tree, KNN-nearest neighbour, logistic regression, SVM(support vector machine), XGBOOST.

conclusion

The model XGBOOST is best suited for the given application as its accuracy score and f1 score is better as compared to other models.