Fraud Detection with imblearn and multiple classification methods
Fraud detection in a large and very imbalanced dataset
Balancing with SMOTE and TomekLinks to compare and select best model
Best model gets a hyperparameter tuning with a genetic algorithm
TODO: Test combined balancing techniques Test the genetic algorithm with XGBoost instead of Decision Tree to study its performance