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Fairness Scorer Component with AutoML

FairML XAI Fairness Fair EXplainableAI
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Adopting the verified component Fairnes Scorer with AutoML component. Steps: 1.Read the input data 2.Split the data into train and test set 3.Use Equal Size Sampling to balance the dataset (Undersampling the frequent creditworthy class) 4.Use AutoML component to best fit the data 5.Connect Fairness Scorer component to computes fairness metrics

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Created with KNIME Analytics Platform version 4.6.1
  • KNIME Base nodes Trusted extension

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    Versions 4.5.1, 4.6.1

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    Version 4.6.0

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    Version 4.6.0

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    Version 4.6.0

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    Version 4.6.0

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