Unwrapping decision trees and random forests to make them less of a black box
☆61Sep 19, 2017Updated 8 years ago
Alternatives and similar repositories for interpreting-decision-trees-and-random-forests
Users that are interested in interpreting-decision-trees-and-random-forests are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆759Jul 18, 2023Updated 3 years ago
- A catalog of Jupyter Notebooks presenting new techniques to interpret black box machine learning models.☆15Nov 14, 2018Updated 7 years ago
- Implementation of unbiased measurement of feature importance in Random Forests☆17Mar 7, 2026Updated 5 months ago
- 'Keep Calm and Trust your Model' : On Explainability of Machine Learning Models☆15Jul 29, 2017Updated 9 years ago
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆23Nov 19, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A user interface to interpret machine learning models.☆71Jan 14, 2020Updated 6 years ago
- Surrogate Assisted Feature Extraction☆37Aug 19, 2021Updated 4 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆20Feb 2, 2026Updated 6 months ago
- Slides for my doc2vec workshop/talk☆29Nov 4, 2017Updated 8 years ago
- ☆10Sep 16, 2016Updated 9 years ago
- Opinionated Devops for R Data Products Strictly Without Magic☆14Jan 20, 2025Updated last year
- Some experiments into explaining complex black box ensemble predictions.☆74Jan 21, 2020Updated 6 years ago
- R Package - calculate Information Value and WoE (Weight of Evidence)☆30Apr 10, 2019Updated 7 years ago
- ☆38May 7, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions☆13Jul 21, 2024Updated 2 years ago
- Code Snippets & DataSets for Business Analytics & Data Mining/ Machine Learning Algorithms☆14Apr 23, 2018Updated 8 years ago
- automated machine learning toolkit☆15Apr 8, 2018Updated 8 years ago
- JupyterLab extension to deploy applications to Heroku☆20Dec 4, 2022Updated 3 years ago
- Submission for the FICO Explainable Machine Learning Challenge☆19Dec 3, 2020Updated 5 years ago
- Toolkit to compile a comparable/parallel corpus from European Parliament proceedings☆17Jan 26, 2020Updated 6 years ago
- RapiDoc UI integration for R☆14Nov 17, 2023Updated 2 years ago
- Flexible tool for bias detection, visualization, and mitigation☆85Oct 31, 2025Updated 9 months ago
- RF + GBM + ARIMA/NN Hybrid ensemble for predicting 6-month returns for the 9 sector ETFs plus IYZ☆24Mar 27, 2014Updated 12 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Tidy methods for Bayesian treatment effect models☆17Updated this week
- Prediction Explanations Clustering☆10Oct 19, 2023Updated 2 years ago
- Automatic and Interpretable Machine Learning with H2O and LIME☆11Feb 21, 2018Updated 8 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆15Aug 7, 2019Updated 7 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆14Feb 19, 2019Updated 7 years ago
- An example of a sentiment analysis program, used on the IMDB movie review dataset. The program uses the Keras deep learning library. Fi…☆23Aug 22, 2017Updated 8 years ago
- ☆19Dec 27, 2020Updated 5 years ago
- ☆11Nov 5, 2024Updated last year
- PhysioNet 2019 Challenge: Early Prediction of Sepsis from Clinical Data☆12May 19, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Flight simulator for hardware/software in the loop simulations☆14Sep 2, 2016Updated 9 years ago
- Example project for running LensKit experiments☆13Apr 20, 2026Updated 3 months ago
- EasyQuery.JS samples for various server-side platforms: NodeJs, PHP, Java☆10Dec 12, 2022Updated 3 years ago
- High-level R bindings for the DuckDB Database Management System☆18Aug 3, 2022Updated 4 years ago
- My personal toolbox, R package dipsaus, feel free to copy them☆15Aug 5, 2026Updated last week
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆492Aug 11, 2017Updated 9 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆42Dec 7, 2020Updated 5 years ago