Optimized process of the random forest algorithm. by Hongxia Li (493545)

“…Finally, the constructed random forest-based gas explosion early warning model is compared with a classification model based on the support vector machine (SVM) algorithm. …”

Machine learning process. by Zhanjie Jing (13955448)

The parameter settings of the RF algorithm after parameter optimization. by Xini Fang (20861990)

Parameter optimization results of the RF model improved by FCM clustering. by Xini Fang (20861990)

Construction process of RF. by Xini Fang (20861990)

“…<div><p>To enhance the accuracy and response speed of the risk early warning system, this study develops a novel early warning system that combines the Fuzzy C-Means (FCM) clustering algorithm and the Random Forest (RF) model. …”

GA-XGBoost optimization process diagram. by Ke Peng (2220973)

Data_Sheet_1_Early Prediction of Cardiogenic Shock Using Machine Learning.PDF by Yale Chang (11701611)

The robustness test results of the model. by Xini Fang (20861990)

“…<div><p>To enhance the accuracy and response speed of the risk early warning system, this study develops a novel early warning system that combines the Fuzzy C-Means (FCM) clustering algorithm and the Random Forest (RF) model. …”

DataSheet1_Real-Time Characterization of Finite Rupture and Its Implication for Earthquake Early Warning: Application of FinDer to Existing and Planned Stations in Southwest China.... by Jiawei Li (559407)

“…<p>Earthquake early warning (EEW) not only improves resilience against the risk of earthquake disasters, but also provides new insights into seismological processes. …”

Data Sheet 1_Real-world data-driven early warning system for risk-stratified liver injury in hospitalized COVID-19 patients—Machine learning models for clinical decision support.do... by Yuanguo Xiong (20135991)

“…Thirteen distinct machine learning (ML) algorithms were trained and benchmarked to construct an optimal risk stratification framework. …”

Table 1_Explainable machine learning-based prediction of early and mid-term postoperative complications in adolescent tibial fractures.docx by Yufeng Wang (274657)

“…AutoML with Improved Harmony Search Optimization (IHSO) processed features: age, fracture classification, surgery duration, blood loss, and 24 h-postoperative labs (coagulation triad/D-dimer/CRP). …”

Variation of adult mosquito quantity with increasing temperature in Yangjiang. by Yan Liu (25061)

Three conditions of gas explosion. by Hongxia Li (493545)

“…Finally, the constructed random forest-based gas explosion early warning model is compared with a classification model based on the support vector machine (SVM) algorithm. …”

S1 Data - by Hongxia Li (493545)

“…Finally, the constructed random forest-based gas explosion early warning model is compared with a classification model based on the support vector machine (SVM) algorithm. …”

Principles for selecting evaluation indicators. by Hongxia Li (493545)

“…Finally, the constructed random forest-based gas explosion early warning model is compared with a classification model based on the support vector machine (SVM) algorithm. …”

Two-dimensional partition space scheme. by Yongfei Wang (608480)

“…<div><p>Early warning of geological hazards requires monitoring extreme weather conditions, such as heavy rainfall. …”

ZM deep convection code structure. by Yongfei Wang (608480)

“…<div><p>Early warning of geological hazards requires monitoring extreme weather conditions, such as heavy rainfall. …”

S1 File - by Yongfei Wang (608480)

“…<div><p>Early warning of geological hazards requires monitoring extreme weather conditions, such as heavy rainfall. …”

One-dimensional partition space scheme. by Yongfei Wang (608480)

“…<div><p>Early warning of geological hazards requires monitoring extreme weather conditions, such as heavy rainfall. …”

CUDA execution model. by Yongfei Wang (608480)

“…<div><p>Early warning of geological hazards requires monitoring extreme weather conditions, such as heavy rainfall. …”