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
Used extensions & nodes
Created with KNIME Analytics Platform version 4.6.1
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