Results 31 to 40 of about 7,493 (200)

CatBoost mine pressure appearance prediction based on Bayesian algorithm optimization

Gong-kuang zidonghua, 2023
Obtaining mine pressure data through traditional monitoring methods and using statistical or machine learning algorithms to predict mine pressure can no longer meet the requirements of intelligent development in mines. It is necessary to seek new methods
CHAI Jing, ZHANG Ruixin, OUYANG Yibo, ZHANG Dingding, WANG Runpei, TIAN Zhicheng, LIU Hongrui, HAN Zhicheng   +7 more
doaj   +1 more source

CatBoost: gradient boosting with categorical features support

CoRR, 2018
In this paper we present CatBoost, a new open-sourced gradient boosting library that successfully handles categorical features and outperforms existing publicly available implementations of gradient boosting in terms of quality on a set of popular publicly available datasets.
Anna Veronika Dorogush, Vasily Ershov, Andrey Gulin   +2 more
openaire   +2 more sources

Credit Risk Detection in Peer-to-Peer Lending Using CatBoost

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
P2P lending (Peer-to-peer lending) is widely used by private borrowers, small businesses, and MSMEs because P2P lending allows individuals and businesses to be able to lend money directly from lenders without the stringent requirements and criteria of ...
Fadhlurrahman Akbar Nasution, Siti Saadah, Prasti Eko Yunanto   +2 more
doaj   +1 more source

Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin [PDF]

Advances in Engineering and Intelligence Systems
Accurate and reliable runoff forecasts are essential for effective water resource management and flood control operations. Hydrological forecasting plays a key role in decision-making, especially under changing climate conditions.
Reza Seifi Majdar, Ali Rahnamaei, Vahid Babazadeh   +2 more
doaj   +1 more source

CatBoost: unbiased boosting with categorical features

, 2017
This paper presents the key algorithmic techniques behind CatBoost, a new gradient boosting toolkit. Their combination leads to CatBoost outperforming other publicly available boosting implementations in terms of quality on a variety of datasets. Two critical algorithmic advances introduced in CatBoost are the implementation of ordered boosting, a ...
Liudmila Ostroumova Prokhorenkova, Gleb Gusev, Aleksandr Vorobev, Anna Veronika Dorogush, Andrey Gulin   +4 more
openaire   +3 more sources

Discharge estimation in compound channels with converging and diverging floodplains using an optimised Gradient Boosting Algorithm

Journal of Hydroinformatics
River discharge estimation is vital for effective flood management and infrastructure planning. River systems consist of a main channel and floodplains, collectively forming a compound channel, posing challenges in discharge calculation, particularly ...
Shashank Shekhar Sandilya, Bhabani Shankar Das, Sébastien Proust, Divyanshu Shekhar   +3 more
doaj   +1 more source

Comparison of CatBoost and LightGBM Models for Air Humidity Prediction

Journal of Applied Informatics and Computing
This study uses historical weather data from the Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) to evaluate the performance of two combination machine learning models, LightGBM and CatBoost, in predicting air humidity.
Tangkas Surya Wibawa, Novita Kurnia Ningrum, Ahmad Syahreza   +2 more
doaj   +1 more source

Predictive Model for Reducing Employee Turnover Using Machine Learning Techniques

Journal of Human Resource Management
Purpose - The problem of employee turnover is a chronic disruption in the stability of organizations, them functioning, and their long-term development.
Khadiga ABDELKARIM, Mahgoub ABDELRAHIM, Baraa ELTAYEB   +2 more
doaj   +1 more source

Integrating Feature Selection and Machine Learning Boosting for Accurate Breast Cancer Prediction

Proceedings of the International Conference on Applied Innovations in IT
Breast cancer is a prevalent and devastating disease and remains a major contributor to cancer-related mortality among women worldwide. The increasing incidence and fatality rates are often associated with changes in lifestyle and the influence of ...
Wisal Hashim Abdulsalam, Ruma Kareem K. Ajeena, Mohammed Ayad Saad   +2 more
doaj   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source