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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. missing values imputationoutlier removalpredict risk scoreas delinquencyin the next 2 yearsdata of new applicantfrom external serviceprediction resultto external serviceread modelcreated and savedin training workflow Data Pre-processing Random ForestPredictor JSON to Table ContainerInput (JSON) ContainerOutput (JSON) Table to JSON prediction only Model Reader 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. missing values imputationoutlier removalpredict risk scoreas delinquencyin the next 2 yearsdata of new applicantfrom external serviceprediction resultto external serviceread modelcreated and savedin training workflowData Pre-processing Random ForestPredictor JSON to Table ContainerInput (JSON) ContainerOutput (JSON) Table to JSON prediction only Model Reader

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Created by: rosy
Created at: 2018-08-19
On NodePit since: 2019-07-12
Last update: 2024-04-18
Created with KNIME version: v4.6.1
Tags: riskscoringrisk assessmentSMOTErandom forestfinancebankingPracticing Data Science

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