Results 21 to 30 of about 72,345 (262)

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

, 2022
Accurate prediction of ground vibration caused by blasting has always been a significant issue in the mining industry. Ground vibration caused by blasting is a harmful phenomenon to nearby buildings and should be prevented.
Zhou, Jian, Li, Chuanqi, Qiu, Yingui, Yang, Haitao, Yang, Peixi, Khandelwal, Manoj   +5 more
core   +1 more source

XGBoost-SHAP values, prediction of grassland degradation

, 2020
Simulating and predicting grassland degradation by using Machine Learning (ML) method ...
Batunacun, Ralf Wieland
core   +1 more source

XGBoost prediction

, 2022
The original code for XGBoost ...
Shuai Yuan (12675943)
core   +1 more source

Xgboost hyperparameter tuning result.

, 2022
Xgboost hyperparameter tuning result.
Antonio Sanfilippo (127041), Veronica Bermudez (13751513), Dunia Bachour (13751507), Laurent Saboret (13751522), Mathilde Marchand-Lasserre (13751519), Etienne Wey (13751516), Giovanni Scabbia (13751501), Annamaria Mazzoni (13751504), Daniel Perez-Astudillo (13751510)   +8 more
core   +1 more source

A Retrospective Cohort Study: Predicting 90-Day Mortality for ICU Trauma Patients with a Machine Learning Algorithm Using XGBoost Using MIMIC-III Database

Journal of Multidisciplinary Healthcare, 2023
Shan Yang,1 Lirui Cao,2 Yongfang Zhou,3 Chenggong Hu1 1Department of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, People’s Republic of China; 2West China Hospital of Sichuan University, Chengdu, Sichuan ...
Yang S, Cao L, Zhou Y, Hu C
doaj  

XGBoost models

, 2022
Trained XGBoost models used in: "Polygenic Risk Prediction using Gradient Boosted Trees Captures Non-Linear Genetic Effects and Allele Interactions in Complex Phenotypes"
Michael Elgart (13039608)
core   +1 more source

Comparison of Random Forest, XGBoost, and LightGBM Methods for the Human Development Index Classification

Jambura Journal of Mathematics
Machine learning classification is an effective tool for categorizing data based on patterns, which is particularly useful in analyzing the Human Development Index (HDI) in Indonesia. HDI serves as a key indicator of regional development progress, making
Yunna Mentari Indah, Rafika Aristawidya, Anwar Fitrianto, Erfiani Erfiani, L.M. Risman Dwi Jumansyah   +4 more
doaj   +1 more source

Predicting Antibiotic Resistance in ICUs Patients by Applying Machine Learning in Vietnam

Infection and Drug Resistance, 2023
Viet Tran Quoc,1 Dung Nguyen Thi Ngoc,2,3 Trung Nguyen Hoang,4 Hoa Vu Thi,4 Minh Tong Duc,4 Thanh Do Pham Nguyet,2 Thanh Nguyen Van,5 Diep Ho Ngoc,2 Giang Vu Son,6 Thanh Bui Duc7 1Intensive Care Unit, Military Hospital 175, Ho Chi Minh City, Vietnam ...
Tran Quoc V, Nguyen Thi Ngoc D, Nguyen Hoang T, Vu Thi H, Tong Duc M, Do Pham Nguyet T, Nguyen Van T, Ho Ngoc D, Vu Son G, Bui Duc T   +9 more
doaj  

Early Breast Cancer Detection in Coimbra Dataset Using Supervised Machine Learning (XGBoost)

Buana Information Technology and Computer Sciences
Worldwide, breast cancer (BC) represents one of the serious health concerns for adult females. The early detection and accurate prediction of risks are vital for the provision of optimum care and enhancement of patient outcomes.
Ahmed Sami Jaddoa
doaj   +1 more source

XGBoost parameters.

, 2020
XGBoost parameters.
Mark Last (408144), Chang Liu (35901), Armin Shmilovici (8436642)   +2 more
core   +1 more source