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Credit-Card-Fraud-Detection-Machine-Learning

Implemented 5 algorithms to build a classification model to predict credit card fraudand python files are included in the folder along with dataset file, creditcard.csv (can be retrieved from https://www.kaggle.com/mlg-ulb/creditcardfraud).

Models are:

  1. Naive Bayes (naive_bayes.py)
  2. Logistic Regression (log_reg.py)
  3. Support Vector Machine (svm.py)
  4. Random Forest Classifier (random_forest.py)
  5. Gradient Boosting Classifier (xgboost.py)

Also included a log file (RUN_LOG.txt) containing results of a single run of all classification models.