CatBoost is a relatively new open-source machine learning algorithm, developed in 2017 by Yandex. One of CatBoost’s core edges is its ability to integrate a variety of different data types, such as ...

Abstract: In this article, the graphics processing unit (GPU)-accelerated CatBoost (GPU-CatBoost) algorithm for hyperspectral image classification is first introduced and comparatively studied using ...

Abstract: In this study we investigate the performance of CatBoost in the task of identifying Medicare fraud. The Medicare claims data we use as input for CatBoost contain a number of categorical ...

This repository contains a project for predicting house prices using the CatBoost algorithm. The data used in this project is from the Kaggle House Prices competition. Predicting house prices is a ...