Fraud Detection: Model Training

This workflow reads in the creditcard.csv file and trains and evaluates a Random Forest model to classify transactions as either fraudulent or not. Notice the final Rule Engine node. This node classifies all transactions with fraud probability above 0.3 as fraudulent.


This is a companion discussion topic for the original entry at https://kni.me/w/Pr9sVDowVFm8ezEc