Category: Machine Learning
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The Unfairness of AI Fairness
Fairness in Artificial Intelligence (AI) and Machine Learning (ML) is a recent and hot topic. As ML models are used in insurance pricing, the fairness topic also applies there. Just last month, Lindholm, Richman, Tsanakas and Wüthrich published a discussion paper on this subject that sheds new light on established AI fairness criteria. This post…
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Kernel SHAP in R and Python
“R Python” continued… Kernel SHAP
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Kernel SHAP
Standard Kernel SHAP has arrived in R. We show how well it plays together with deep learning in Keras
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shapviz goes H2O
The “shapviz” package now plays well together with H2O.
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Visualize SHAP Values without Tears
Visualize SHAP values without tears.
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Let the flashlight shine with plotly
How to combine model interpretation package “flashlight” with “plotly”?
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Random Forests with Monotonic Constraints
“R Python” continued… Random forests with monotonic constraints
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Personal Highlights of Scikit-Learn 1.0
Yes! After more than 10 years, scikit-learn released its 1.0 version on 24 September 2021. In this post, I’d like to point out some personal highlights apart from the release highlights. 1. Feature Names This one is listed in the release highlights, but deserves to be mentioned again. This is not yet available for all…