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Credit Card Fraud Detection Model

EasyChair Preprint no. 5375

4 pagesDate: April 25, 2021


In recent years, credit card fraud has become a major complication for banks as it became tough to detect fraud in the credit card system. To overcome this obstacle Machine learning has an important role in detecting the credit card fraud in the transactions To predict the various bank transactions various machine learning algorithms are used. This paper examines the performance Logistic regression for credit card fraud detection. Machine learning classification algorithm used here and the task is implementing in Python language. The performance of the algorithm is evaluated by accuracy score, f1-score, precision and recall score.

Keyphrases: fraud detection, logistic regression, machine learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {P Srinivas Reddy and Murali Krishna Chigulla and Sai Bhavana Kancharla and Sai Rithin Reddy Kairthabad and Nuthan Yadidya Bashpa},
  title = {Credit Card Fraud Detection Model},
  howpublished = {EasyChair Preprint no. 5375},

  year = {EasyChair, 2021}}
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