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creditcardfrauddetection's Introduction

CreditCardFraudDetection

Developing Credit Card Fraud Detection Model using Machine Learning. I have used a variety of ML algorithms to implement this model and also plotted the respective performance curves for the models.

The following libraries have been used:

  1. Caret
  2. ranger
  3. data.table
  4. caTools
  5. pROC
  6. rpart
  7. rpart.plot
  8. neuralnet
  9. gbm

And the following ML algorithms have been used (Accuracu calculated very losely):

  1. Logistic Regression Model
  2. Decission Tree Model (99.95% accuracy)
  3. Artificial Neural Network Model (99.93% accuracy)
  4. Gradiant Boosting Model (95.41% accuracy)

creditcardfrauddetection's People

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