#Feature-importance
Showing 9 of 9 repositories tagged #feature-importance, ranked by stars
Model interpretability and understanding for PyTorch
XAI - An eXplainability toolbox for machine learning
Leave One Feature Out Importance
Shapley Interactions and Shapley Values for Machine Learning
Features selector based on the self selected-algorithm, loss function and validation method
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
Beta Machine Learning Toolkit