Fraud Detection: Model Training

Workflow

Fraud Detection: Model Training

fraud fraud detection random forest deployment banking +2

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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.

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Fraud Detection: Model Training

Used extensions & nodes

KNIME Base nodes Trusted extension

KNIME Ensemble Learning Wrappers Trusted extension

KNIME JavaScript Views (Labs) Trusted extension

KNIME Javasnippet Trusted extension

KNIME Quick Forms Trusted extension

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KNIME Base nodes

KNIME Ensemble Learning Wrappers

KNIME JavaScript Views (Labs)

KNIME Javasnippet

KNIME Quick Forms