Detecting which type of transaction mostly lead to be Fraud
Large difference in the count of Target Variable lead me to the use of Over sampling to balance the dataset by duplicating the lesser variable while aplying ML algorithms.
Made model using Randomoversampling based upon Random Forest Classifier and Decision Tree The Score is calculated in Roc-Auc. with best score of 88% auc