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Fraud Detection Model

Decision TreeMetanodeNode 28Node 37Node 47Testing DataCombinetrain and test dataLabel dataLabel dataNode 84Node 85Node 86Node 89Node 90Node 96Node 105Node 106Node 107Training DataForward FeatureSelection Transforming Data toappropriate data types Creating newfeatures Distance betweenmarchent and customer Seperating data &equal size sampling CSV Reader Concatenate ConstantValue Column ConstantValue Column DecisionTree Learner Decision TreePredictor Scorer Forward FeatureSelection XGBoost Predictor Scorer XGBoost TreeEnsemble Learner Forward FeatureSelection Gradient BoostedTrees Learner Gradient BoostedTrees Predictor Scorer CSV Reader Decision TreeMetanodeNode 28Node 37Node 47Testing DataCombinetrain and test dataLabel dataLabel dataNode 84Node 85Node 86Node 89Node 90Node 96Node 105Node 106Node 107Training DataForward FeatureSelection Transforming Data toappropriate data types Creating newfeatures Distance betweenmarchent and customer Seperating data &equal size sampling CSV Reader Concatenate ConstantValue Column ConstantValue Column DecisionTree Learner Decision TreePredictor Scorer Forward FeatureSelection XGBoost Predictor Scorer XGBoost TreeEnsemble Learner Forward FeatureSelection Gradient BoostedTrees Learner Gradient BoostedTrees Predictor Scorer CSV Reader

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: sntra
Created at: 2021-04-03
On NodePit since: 2021-12-19
Last update: 2024-11-17
Created with KNIME version: v4.4.0

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