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.
Workflow
Fraud Detection: Model Training
Used extensions & nodes
Created with KNIME Analytics Platform version 4.5.0
Legal
By using or downloading the workflow, you agree to our terms and conditions.