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Found 3 papers, 2 papers with code
Feature Importance Measurement based on Decision Tree Sampling
Random forest is effective for prediction tasks but the randomness of tree generation hinders interpretability in feature importance analysis.
A Confidence Machine for Sparse High-Order Interaction Model
In predictive modeling for high-stake decision-making, predictors must be not only accurate but also reliable.
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model
Automated high-stake decision-making such as medical diagnosis requires models with high interpretability and reliability.
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