Experimental environment configuration table. حسب Jingru Dong (14076094)

"…A risk prediction model was constructed based on four algorithms: Random Forest, XGBoost, Logistic Regression, and SVM. …"

Base learner parameters. حسب Jingru Dong (14076094)

"…A risk prediction model was constructed based on four algorithms: Random Forest, XGBoost, Logistic Regression, and SVM. …"

Data inclusion and exclusion process. حسب Jingru Dong (14076094)

"…A risk prediction model was constructed based on four algorithms: Random Forest, XGBoost, Logistic Regression, and SVM. …"

S1 Data - حسب Jingru Dong (14076094)

"…A risk prediction model was constructed based on four algorithms: Random Forest, XGBoost, Logistic Regression, and SVM. …"

Data for: An effective methodology to quantify cooling demand in the UK housing stock حسب Lloyd Corcoran (19094369)

SingleFrag حسب Maribel Pérez Ribera (19868316)

"…</li><li><ol><li><b>ANN</b>: Artificial Neural Networks</li><li><b>GNN</b>: Graph Neural Networks</li><li><b>COM</b>: Networks that combine the predictive power of ANN and GNN</li></ol></li><li><b>Mol2vecModel</b>: Contains a Mol2vec model trained to obtain a 300-dimensional vector from molecule SMILES.…"

Processing parameters. حسب Hosamane Guruswamy Prashantha Kumar (21433265)

"…The predictive model results matched up with experimental data points within 5–8 percent ranges. …"

The perceived wealth and physical disorder scores prediction dataset for urban China حسب Yanji Zhang (22363905)

"…Based on the perception image annotation dataset labeled by Chinese urban planners (https://figshare.com/s/a942f102cd07f4a73515), these perception scores are predicted through model training and inference across urban China.…"

Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1 حسب Robert Zomer (12796235)

Illustration of model compartment links. حسب Yousef AbuHour (17536686)

"…Additionally, we analyze the reproduction number’s sensitivity and explore the proposed discrete system’s local and global stability. The model was simulated and analyzed using Python packages, providing practical solutions to improve cybersecurity in IoT networks. …"

ML for anomalous diffusion model حسب Yuehua Zhao (8498052)

"…<p dir="ltr"><b>ML for anomalous diffusion model</b></p><p dir="ltr">Dapeng Wang</p><p>7.24.2025</p><p dir="ltr">This repository contains the necessary codes written in Python 3 to train the classifiers.…"

Relationship between sunlight measures and daily activity. حسب Oleg Kovtun (1618660)

Table 1_Magnetic resonance imaging-based deep learning for predicting subtypes of glioma.docx حسب Zhen Yang (107412)

"…The receiver operating characteristic curve (ROC), area under the curve (AUC) of the ROC were generated in the jupyter notebook tool using python language to evaluate the accuracy of the models in classification and comparing the predictive value of different MRI sequences.…"

Heat Map Correlation. حسب Majed Alzara (20700224)

"…This study creates a predictive model just for Egypt’s construction industry that aims to predict a localized CCI to improve financial planning and lower risk. …"

Research Methodology. حسب Majed Alzara (20700224)

"…This study creates a predictive model just for Egypt’s construction industry that aims to predict a localized CCI to improve financial planning and lower risk. …"

Spearman’s Rank Correlation. حسب Majed Alzara (20700224)

"…This study creates a predictive model just for Egypt’s construction industry that aims to predict a localized CCI to improve financial planning and lower risk. …"

Result of Stepwise Regression. حسب Majed Alzara (20700224)

"…This study creates a predictive model just for Egypt’s construction industry that aims to predict a localized CCI to improve financial planning and lower risk. …"

Variance Inflation Factor. حسب Majed Alzara (20700224)

"…This study creates a predictive model just for Egypt’s construction industry that aims to predict a localized CCI to improve financial planning and lower risk. …"

Pearson Correlation Matrix. حسب Majed Alzara (20700224)

"…This study creates a predictive model just for Egypt’s construction industry that aims to predict a localized CCI to improve financial planning and lower risk. …"

Percentage of PNC Utilizations. حسب Daniel Niguse Mamo (16813898)

"…The study employs machine learning techniques to analyse secondary data from the 2016 Ethiopian Demographic and Health Survey. It aims to predict postnatal care utilization and identify key predictors via Python software, applying fifteen machine-learning algorithms to a sample of 7,193 women. …"