Projects in Awesome Lists tagged with variable-importance
A curated list of projects in awesome lists tagged with variable-importance .
https://github.com/koalaverse/vip
Variable Importance Plots (VIPs)
interaction-effect machine-learning partial-dependence-plot supervised-learning-algorithms variable-importance variable-importance-plots
Last synced: 04 Apr 2025
https://github.com/bgreenwell/fastshap
Fast approximate Shapley values in R
explainable-ai explainable-ml interpretable-machine-learning shapley shapley-values variable-importance xai
Last synced: 07 Apr 2025
https://github.com/ModelOriented/survex
Explainable Machine Learning in Survival Analysis
biostatistics brier-scores censored-data cox-model cox-regression explainable-ai explainable-machine-learning explainable-ml explanatory-model-analysis interpretable-machine-learning interpretable-ml machine-learning probabilistic-machine-learning r r-package shap survival-analysis time-to-event variable-importance xai
Last synced: 05 May 2025
https://github.com/ck37/varimpact
Variable importance through targeted causal inference, with Alan Hubbard
causal-inference cv-tmle observational-study targeted-learning tmle variable-importance
Last synced: 26 Apr 2025
https://github.com/isarn/isarn-sketches-spark
Routines and data structures for using isarn-sketches idiomatically in Apache Spark
aggregator apache-spark data-sketches data-sketching dataframe dataframes dataset datasets feature-importance pyspark python scala sketching-algorithm spark spark-ml t-digest udaf variable-importance
Last synced: 29 Oct 2025
https://github.com/hofnerb/stabs
Stability Selection with Error Control
cran machine-learning r-language r-package resampling stability-selection variable-importance variable-selection
Last synced: 11 Aug 2025
https://github.com/bdwilliamson/vimpy
Perform inference on algorithm-agnostic variable importance in Python
machine-learning nonparametric-statistics statistical-inference variable-importance
Last synced: 14 Jan 2026
https://github.com/mlr-org/mlr3filters
Filter-based feature selection for mlr3
feature-selection filter filters mlr mlr3 r r-package variable-importance
Last synced: 09 Apr 2025
https://github.com/majianthu/aps2020
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
copula-entropy distance-correlation feature-engineering feature-selection hsic mutual-information variable-importance variable-selection
Last synced: 11 Jun 2025
https://github.com/nhejazi/txshift
:package: :game_die: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
causal-effects causal-inference censored-data machine-learning robust-statistics statistics stochastic-interventions stochastic-treatment-regimes targeted-learning treatment-effects variable-importance
Last synced: 16 Aug 2025
https://github.com/MoganaD/Machine-Learning-on-Breast-Cancer-Survival-Prediction
We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast cancer survival rate. This repository contains R source codes for 5 steps which are, model evaluation, Random Forest further modelling, variable importance, decision tree and survival analysis. These can be a pipeline for researcher who are interested to conduct studies on survival prediction of any type of cancers using multi model data.
breast-cancer-prediction cancer-data decision-trees machine-learning prediction-model survival-analysis variable-importance
Last synced: 09 Jul 2025
https://github.com/blind-contours/supernova
:dizzy: :dart: Automatic identification of variable and interaction importance using basis functions and non-parametric estimation of interactions/effect modification using joint stochastic interventions.
interactions machine-learning mixed-exposure statistics targeted-learning variable-importance
Last synced: 26 Oct 2025
https://github.com/jluchman/domir
Tools to Support Relative Importance Analysis
dominance-analysis relative-importance shapley-value variable-importance
Last synced: 22 Oct 2025
https://github.com/blind-contours/cvtreemle
:deciduous_tree: :dart: Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
causal-effects causal-inference decision-trees exposure-mixtures machine-learning robust-statistics statistics targeted-learning variable-importance
Last synced: 26 Oct 2025
https://github.com/insightsengineering/unihtee
Tools for uncovering treatment effect modifiers in high-dimensional data.
heterogeneous-treatment-effects high-dimensional-data nonparametrics targeted-learning variable-importance
Last synced: 05 Jul 2025
https://github.com/roland045/flyball_race_analysis
Analysis of dog racing data to improve team performance
analysis business-insights data-mining data-science data-visualization exploratory-data-analysis feature-engineering machine-learning optimization python variable-importance
Last synced: 04 Feb 2026
https://github.com/nhejazi/talk_txshift
:speech_balloon: Talk on causal inference and variable importance with stochastic interventions under two-phase sampling
causal-inference censored-data inverse-probability-weights machine-learning marginal-structural-models stochastic-interventions targeted-learning variable-importance
Last synced: 17 Oct 2025
https://github.com/erikerlandson/1-pass-data-science
Demo notebook and data for Spark Summit Dublin 2017: One-Pass Data Science with Generative T-Digests
apache-spark feature-importance jupyter jupyter-notebook pyspark python t-digest variable-importance
Last synced: 24 Feb 2025
https://github.com/erikerlandson/1-pass-variable-importance
Demo of 1-pass variable importance using t-digests
apache-spark scala t-digest variable-importance
Last synced: 24 Feb 2025
https://github.com/antononcube/wl-variableimportancebyclassifiers-paclet
WL paclet with functions for finding variables importance in datasets.
classification classifier classifiers mathematica variable-importance variable-importance-plots wolfram wolfram-language
Last synced: 10 Feb 2026
https://github.com/lefteris-souflas/election-classification-and-clustering-analysis
Creating predictive models to classify Trump's vote share and clustering counties based on demographics and economic variables. Report findings in PDF with detailed methodologies, model assessments, and R code for the project.
agglomerative-algorithm bootstrap-sampling classification clustering cross-validation data-cleaning decision-tree hierarchical-clustering model-evaluation model-interpretation predictive-analytics r random-forest silhouette-analysis statistics support-vector-machine variable-importance
Last synced: 02 Aug 2025
https://github.com/baschin1103/principal_component_analysis
In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.
3d-printing labelencoder matplotlib numpy pandas principal-component-analysis sklearn-library sqlalchemy standardization variable-importance
Last synced: 28 Mar 2025
https://github.com/dabdul-wahab1988/neutrosophic_pls
A Python package for chemometrics and spectroscopy that extends classical PLS regression by incorporating measurement uncertainty through neutrosophic set theory. No programming experience required – use our interactive wizard!
neutrosophic partial-least-squares uncertainty-quantification variable-importance
Last synced: 25 Jan 2026
