Icon

02_​XAI_​Credit_​Scoring_​Example

Explaining the Credit Scoring Model with Model Interpretability Components
Data access Model explanations This workflow demonstrates the usage of the verified components developed to interpret machine learning models on the example of the credit scoring model. Data pre-processing, black-box model training, predicting Top: train setBottom: test setStandard pre-processing & black-box model trainingNeural NetworkCredit scoringdataUndersamplingof the frequent"creditworthy" classSelect a group of applicantsSelect applicant wrongly rejected by the model (false negative)Partitioning Predictor Global FeatureImportance AutoML Local ExplanationView Row Sampling XAI View CSV Reader Equal Size Sampling Scatter PlotSelection Scatter PlotSelection Data access Model explanations This workflow demonstrates the usage of the verified components developed to interpret machine learning models on the example of the credit scoring model. Data pre-processing, black-box model training, predicting Top: train setBottom: test setStandard pre-processing & black-box model trainingNeural NetworkCredit scoringdataUndersamplingof the frequent"creditworthy" classSelect a group of applicantsSelect applicant wrongly rejected by the model (false negative)Partitioning Predictor Global FeatureImportance AutoML Local ExplanationView Row Sampling XAI View CSV Reader Equal Size Sampling Scatter PlotSelection Scatter PlotSelection

Nodes

Extensions

Links