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Credit_​Scoring_​Training

Risk Scoring: Estimation of Probability of Default
Risk Scoring: Estimation of Probability of DefaultA model is trained on the "Give me some credit" dataset."SeriousDlqin2yrs" is used as target column to predict default probability. Variable Description Data Exploration Missing Values ImputationOutlier Removal75% training 25% testSeriousDlqln2YrsNearest neighbor =1Oversample Minority Classesstats, histograms, and bar chartsCorrelation mapVariableDescription"Give Me Some Credit" dataset Data Pre-processing Partitioning SMOTE Random ForestLearner Data Explorer Random ForestPredictor Linear Correlation Scorer Excel Reader Model Writer CSV Reader Risk Scoring: Estimation of Probability of DefaultA model is trained on the "Give me some credit" dataset."SeriousDlqin2yrs" is used as target column to predict default probability. Variable Description Data Exploration Missing Values ImputationOutlier Removal75% training 25% testSeriousDlqln2YrsNearest neighbor =1Oversample Minority Classesstats, histograms, and bar chartsCorrelation mapVariableDescription"Give Me Some Credit" dataset Data Pre-processing Partitioning SMOTE Random ForestLearner Data Explorer Random ForestPredictor Linear Correlation Scorer Excel Reader Model Writer CSV Reader

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Created by: Vincenzo
Created at: 2018-06-11
On NodePit since: 2019-07-12
Last update: 2024-04-25
Created with KNIME version: v4.6.1
Tags: riskscoringrisk assessmentSMOTErandom forestfinancebankingPracticing Data Science

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