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Monitoring_​workflow

TOP Branch: Reading the last_30_days predictions and generating an INPUTtable-BOTTOM Branch: Reading the same period of the transaction Dataset to be able togenerate a new Fraud Threshold Log to track the re-train events Elaborating predicitonsand deciding if retrain or nothe modelPredictions infofrom DB ConfigureMonitoring Output Database Connector Re-trainingDecision ContainerOutput (JSON) DB Query Reader Filter last 30 days TOP Branch: Reading the last_30_days predictions and generating an INPUTtable-BOTTOM Branch: Reading the same period of the transaction Dataset to be able togenerate a new Fraud Threshold Log to track the re-train events Elaborating predicitonsand deciding if retrain or nothe modelPredictions infofrom DBConfigureMonitoring Output Database Connector Re-trainingDecision ContainerOutput (JSON) DB Query Reader Filter last 30 days

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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: diego.rodriguez
Created at: 2022-03-29
On NodePit since: 2022-12-22
Last update: 2024-04-27
Created with KNIME version: v4.6.1

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