Data collection

o Utilization of credit card fraud detection dataset

Data pre - processing

(Feature Selection, data filtering etc)

o Ensemble ML approach

o Classifier selection and evaluation

Sampling (under sampling SMOTE)

Testing Sample

Training Sample

Machine learning

Model

Trained model

Analysis and comparison of results obtained

True negative (TN)

True negative(TN)

False negative (FN)

True positive (TP)