Project on Fraud Detection from Imbalanced Big Data using Julia - International Joint Conference on Computational Intelligence - October, 2019. ULAB, Bangladesh
Predict the model with the clustering approach, ADASYN, K-Means SMOTE, using Random Forest Importance Features with the accuracy 96% along with the precision, recall, f1_score respectively 94%, 92%, 97%.