iml

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Interpretable Machine Learning

Patrick Schratz, Christoph Molnar

Last update: 8 September 2022

Copyright license: MIT license, File License

Software version identifier: 0.11.1

Source code repository: https://github.com/cran/iml

Cites work

• Predictive learning via rule ensembles
• Explaining prediction models and individual predictions with feature contributions
• Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
• All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
• Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models
• "Why Should I Trust You?": Explaining the Predictions of Any Classifier

Related Items (8)

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