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02_​Fraud_​Detection_​Deployment

Fraud Detection: Model Deployment
Deploy a fraud detection model to a new transaction. Send an email if the model predicts it as fraudulent. Model Deployment Set email host here! P(Class =1)>0.3=>1P(Class=1)<= 1Measure execution time for each nodeSum up execution timesSend Email in case of fraudulant transactionRead ModelRead onetransaction Rule Engine Random ForestPredictor Timer Info Math Formula Send Email Model Reader String To Number Table Rowto Variable Table Reader CASE Switch Start Deploy a fraud detection model to a new transaction. Send an email if the model predicts it as fraudulent. Model Deployment Set email host here! P(Class =1)>0.3=>1P(Class=1)<= 1Measure execution time for each nodeSum up execution timesSend Email in case of fraudulant transactionRead ModelRead onetransaction Rule Engine Random ForestPredictor Timer Info Math Formula Send Email Model Reader String To Number Table Rowto Variable Table Reader CASE Switch Start

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

Download Workflow
Created by: kathrinmelcher
Created at: 2018-06-13
On NodePit since: 2019-07-26
Last update: 2024-04-16
Created with KNIME version: v4.5.0
Tags: fraudfraud detectionrandom forestdeploymentbankingcredit cardcybersecurityPracticing Data Science

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