History-based Feature Selection (HBFS) is a feature selection tool that aims to identify an optimal subset of features for prediction problems. It is designed to work similarly to wrapper methods and genetic methods, focusing on selecting feature subsets that yield the highest performance for a given dataset and target. HBFS differs from filter methods, which evaluate and rank individual features based on their predictive power. Instead, HBFS evaluates combinations of features over multiple iterations, using a Random Forest regressor to estimate performance and iteratively refining feature sets. This tool supports binary and multiclass classification, as well as regression, and allows for balancing the trade-off between maximizing accuracy and minimizing the number of features through parameters such as maximum features and penalties. Examples provided demonstrate the use of HBFS with various models and metrics, showcasing its ability to improve model performance by identifying optimal feature subsets.
This repository contains build scripts to produce an unofficial Ubuntu package (.deb) for Ghostty. It includes instructions for installing and updating Ghostty on various Ubuntu versions, with a focus on providing an easy-to-install package for the community.
The X.Org Server Git tree saw a significant increase in the number of commits in 2024, marking the highest since 2014. This surge in activity is primarily attributed to the ongoing development of XWayland and contributions from developer Enrico Weigelt.
A proof concept for an AI-powered hedge fund that explores the use of AI to make trading decisions for educational purposes.
A web crawling project using Python, Selenium, Gemini, and Brightdata
- needs slight refactoring for openapi/llama.cpp integration
- needs slight refactoring for openapi/llama.cpp integration
This repository contains a version of the Netronic TinyBasic interpreter with the Basic IL in a readable and assemblable format. It includes fixes for the Interrupt Service Routine to prevent potential memory corruption issues.
A diagram made by @ahmedkhaleel2004
A cozy fireplace for emacs.
Dog is a chess program for ESP32 microcontrollers, licensed under the MIT license.
