Credit Fraud Classification:

Using "creditcard.csv" downloaded from https://www.kaggle.com/mlg-ulb/creditcardfraud

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Purpose of this project is Prediction:

Predict any credit fraudulent based on each transaction characteristics.
This including but not limited to the information of the customers.

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Model Building:

Logistic Regression Model, the ROC curve:

Decision Tree Model:

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Final Reult:

Decision Tree perform slightly better than Logistic Regression Model.
However, this is an insignificant difference between the two.