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LIME and SHAP explanations for issue type predictions
The dataset contains 3092 issues with the prediction whether they are a bug or not from the machine learning models and their corresponding LIME and SHAP explanations. -
Using Decision Tree as Local Interpretable Model in Autoencoder-based LIME
The paper introduces a new version of ALIME, which uses a decision tree instead of a linear model as the locally interpretable model.
