An Empirical Performance Comparison of Machine Learning Methods for the Detection of Forged Banknotes
This paper seeks to compare the performance of different machine learning methods (stochastic gradient descent, k-nearest neighbors’ classifier, decision tree classifier, logistic regression) employed to detect the forgery of banknotes and determine the most suitable method for the detection of forged or counterfeit banknotes.
Keywords: Banknote, KNN Classifier, Decision Tree Classifier, Logistic Regression, Stochastic Gradient Descent, Performance Comparison, Counterfeit Detection