Closed Vayel closed 5 years ago
This looks like a good compendium.
From @JMLToulouse
https://www.kaggle.com/surajdidwania/healthcare-stroke-patients-in-python or https://www.kaggle.com/uciml/pima-indians-diabetes-database My favorite: https://www.kaggle.com/ronitf/heart-disease-uci https://www.kaggle.com/sulianova/cardiovascular-disease-dataset
https://www.kaggle.com/surajdidwania/healthcare-stroke-patients-in-python or https://www.kaggle.com/uciml/pima-indians-diabetes-database
My favorite: https://www.kaggle.com/ronitf/heart-disease-uci
https://www.kaggle.com/sulianova/cardiovascular-disease-dataset
A dataset that is commonly used in papers about Shapley values:
https://archive.ics.uci.edu/ml/datasets/arrhythmia
http://cs229.stanford.edu/proj2014/Vasu%20Gupta,%20Sharan%20Srinivasan,%20Sneha%20Kudli,%20Prediction%20and%20Classification%20of%20Cardiac%20Arrhythmia.pdf
https://christophm.github.io/interpretable-ml-book/cervical.html#cervical
This looks like a good compendium.