Understanding Sparse Oblique Decision Trees
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Key Takeaways about Sparse Oblique Decision Trees
- Interpretable machine learning paper published at AAAI '22.
- Professor of Computer Science, Electrical and Computer Engineering, and Statistical Science. Duke University. USA Check our ...
- MachineLearning #Deeplearning #DataScience
- Our presentation is based from the paper "A System for Induction of
- Some of the most popular forms of interpretable machine learning models are
Detailed Analysis of Sparse Oblique Decision Trees
Project done at IITD with Raunak Jain under Prof Rahul Garg and Prof Ravi Rao. This video accompanies the paper with the same title, published in the 2019 NeurIPs Conference. Xiyang Hu, Cynthia Rudin, ... Decision trees
R code is here: https://gist.github.com/ashipunov/1d9ca875b10bf26a3d171bc570c35bd9.
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