randomForestExplainer

Model Inspector

A set of tools to provide insights into the workings of an ensemble machine learning model.

A set of tools to understand what is happening inside a Random Forest

GitHub

230 stars
13 watching
37 forks
Language: R
last commit: 8 months ago
Linked from 1 awesome list

cranrandom-forest

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
modeloriented/ibreakdown A tool for explaining predictions from machine learning models by attributing them to specific input variables and their interactions. 81
modeloriented/modelstudio A tool for creating interactive, model-agnostic explanations of machine learning models in R 326
modeloriented/fairmodels A tool for detecting bias in machine learning models and mitigating it using various techniques. 86
rmarko/explainprediction An R package for explaining the predictions made by machine learning models in data science applications. 2
modeloriented/dalex A tool to help understand and explain the behavior of complex machine learning models 1,375
mljs/random-forest A JavaScript implementation of a random forest algorithm for classification and regression tasks. 61
modeloriented/ingredients Provides tools to assess and visualize the importance and effects of features in machine learning models 37
modeloriented/drwhy A collection of tools and guidelines for building responsible machine learning models 680
marcelrobeer/explabox An exploratory tool for analyzing and understanding machine learning models 15
masatoi/cl-random-forest An implementation of Random Forest for multiclass classification and univariate regression in Common Lisp. 59
declare-lab/instruct-eval An evaluation framework for large language models trained with instruction tuning methods 528
thomdata/r_theme A software framework for exploring and predicting relationships in multiblock datasets using a combination of statistical modeling and machine learning techniques. 1
hadley/pryr A utility package for introspecting and exploring R code structures and data 201
ehrlinger/ggrandomforests A package for visualizing and analyzing random forest models using ggplot2 146
inspire-group/modelpoisoning An implementation of model poisoning attacks in federated learning 146