Coefeasy is an R package under development for making regression coefficients more accessible. With this tool, you can read and report key coefficients instantly.
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Updated
Apr 29, 2024 - R
Coefeasy is an R package under development for making regression coefficients more accessible. With this tool, you can read and report key coefficients instantly.
R Package: Tame your models' output with INTerval-bAsed Marginal Effects!
Black Box Interpretability in R
Friedman's H-statistics
IILasso: Independently Interpretable Lasso
Application of predictive models on a real data set of the obstetric medicine field and methods of interpretability on the previously fitted XGBoost model.
Reliable interpretability of biology-inspired deep neural networks
The repository contains data and scripts for the study "From Prediction Markets to Interpretable Collective Intelligence" by Alexey V. Osipov and Nikolay N. Osipov (arXiv:2204.13424 [cs.GT]).
A visualization tool that explains the results of classification problems. Implemented in R and python
An R package providing functions for interpreting and distilling machine learning models
Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)
Decision tree interpreter for randomForest/ranger as described in
Data generator for Arena - interactive XAI dashboard
Machine learning explanations
Surrogate Assisted Feature Extraction in R
Efficient R implementation of SHAP
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Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
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