• sandeep kumar
• Kavana Krishnappa

Credit card is the commonly used payment mode in the recent years. As the technology is developing, the number of fraud cases is also increasing and finally poses the need to develop a fraud detection algorithm to accurately find and eradicate the fraudulent activities. This research work proposes different machine learning based classification algorithms such as logistic regression, random forest, and Naive Bayes for handling the heavily imbalanced dataset. Finally, this research work will calculate the accuracy, precision, recall, f1 score, confusion matrix, and Roc-auc score.

Fraud detection, Credit card, Machine learning, Accuracy, F1 score, Precision, Recall, Roc-auc score, Confusion matrix.

"Credit Card Fraud Detection Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.j448-j453, June-2022, Available :http://www.jetir.org/papers/JETIR2206960.pdf

"Credit Card Fraud Detection Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppj448-j453, June-2022, Available at : http://www.jetir.org/papers/JETIR2206960.pdf