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Credit_​Scoring_​Deployment

Risk Scoring: Deployment of Estimation of Probability of Default on New Applicant
Risk Scoring: Deployment of Estimation of Probability of Default on New ApplicantThe probability of default is a metric that lenders use to assess risk on customers, group them into similar risk bands, anddetermine what interest rate to charge them. A lender will use probability of default to calculate expected return and loss at theindividual and portfolio level.Here we apply the model trained in the training workflow to estimate the delinquency risk in the next two years for the newapplicant. read modelcreated and savedin training workflowMissing Values ImputationOutlier Removalpredict risk scoreas delinquencyin the next 2 yearsdata of new applicantfrom external serviceprediction resultto external service Model Reader Data Pre-processing Random ForestPredictor JSON to Table ContainerInput (JSON) ContainerOutput (JSON) Table to JSON prediction only Risk Scoring: Deployment of Estimation of Probability of Default on New ApplicantThe probability of default is a metric that lenders use to assess risk on customers, group them into similar risk bands, anddetermine what interest rate to charge them. A lender will use probability of default to calculate expected return and loss at theindividual and portfolio level.Here we apply the model trained in the training workflow to estimate the delinquency risk in the next two years for the newapplicant. read modelcreated and savedin training workflowMissing Values ImputationOutlier Removalpredict risk scoreas delinquencyin the next 2 yearsdata of new applicantfrom external serviceprediction resultto external serviceModel Reader Data Pre-processing Random ForestPredictor JSON to Table ContainerInput (JSON) ContainerOutput (JSON) Table to JSON prediction only

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Created by: rosy
Created at: 2018-08-19
On NodePit since: 2019-10-03
Last update: 2024-11-23
Created with KNIME version: v3.6.1
Tags: riskscoringrisk assessmentSMOTErandom forestfinancebanking

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