joshloyal/drforest
Dimension Reduction Forests
This tool helps researchers and data scientists understand which factors are most important in predicting an outcome, especially when those factors change in importance depending on the specific situation. You input your dataset with various features and an outcome you want to predict. It outputs not just predictions, but also a detailed breakdown of which features are driving those predictions for each individual case, rather than just an overall average. This is for anyone analyzing complex datasets where the relationships between variables are not straightforward or constant.
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Use this if you need to know which input variables are most influential for specific predictions, especially when the relationships between variables are complex and vary across your data.
Not ideal if you only need a simple prediction without needing to understand the local importance of each input variable, or if your dataset is very small.
Stars
9
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 08, 2023
Commits (30d)
0
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