Detecting banking frauds with analytics and machine learning

Bank fraud is the bodily loss of a or maybe very sensitive info. For detection, there are lots machine learning algorithms which can be used. The study shows many could used for deciding transactions as perhaps real. information set employed in Detection was utilized research. SMOTE method oversampling, since dataset incredibly imbalanced. Moreover, include choice performed, and divided into two parts, test data instruction information. this were Logistic Regression, Multilayer Perceptron, Random Forest Naive Bayes. results show that every algorithm with good precision detection banking solutions. extra constipation, proposed model might