bagging decision tree
Credit Card Fraud Detection
Fraud detection is the most important step for a risk management process to prevent a recurrence. High volumes of fraud can be damaging revenue and reputation. Fortunately, it is possible to deal with fraud before it happens. Therefore, I would like to investigate the performance of the machine learning algorithms on a credit card fraud data set. The dataset contains transactions made by credit cards in September 2013 by European cardholders.
Industry:
- Law Enforcement & Public Safety > Fraud (1.00)
- Information Technology > Security & Privacy (0.94)
- Banking & Finance > Credit (0.84)
Technology: