Data and code resources. حسب Sam Hall-McMaster (10343795)

الموضوعات:

Convergence curve of the DBO algorithm. حسب Ma Haohao (22177538)

"…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …"

Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. حسب Tomokaze Shiratori (9635271)

الموضوعات:

Number of edges selected through cross-validation on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

الموضوعات:

Number of edges selected through cross-validation on the random graph dataset. حسب Tomokaze Shiratori (9635271)

الموضوعات:

F1 score of edges selected through cross-validation on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

الموضوعات:

F1 score of a given number of selected edges on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

الموضوعات:

F1 score of a given number of selected edges on the random graph dataset. حسب Tomokaze Shiratori (9635271)

الموضوعات:

F1 score of edges selected through cross-validation on the random graph dataset. حسب Tomokaze Shiratori (9635271)

الموضوعات:

Features selection using the Boruta algorithm. حسب Nishat Tasnim Thity (21755858)

"…We identified the important features related to IA using the Boruta algorithm. Predictions were made using different machine learning (ML) (decision tree (DT), random forest (RF), support vector machines (SVMs), and logistic regression (LR)) models. …"

Feature selection using Boruta algorithm. حسب Shayla Naznin (13014015)

"…Feature selection was performed using the Boruta algorithm and model performance was evaluated by comparing accuracy, precision, recall, F1 score, MCC, Cohen’s Kappa and AUROC.…"

Feature selection using the Boruta algorithm. حسب Guang Tu (22054865)

"…We extracted baseline characteristics, laboratory parameters, and clinical outcomes. The Boruta algorithm was employed for feature selection to identify variables significantly associated with in-hospital mortality, and 16 machine learning models, including logistic regression, random forest, gradient boosting, and neural networks, were developed and compared using receiver operating characteristic (ROC) curves and area under the curve (AUC) analysis. …"

Code used for data analysis in this study. حسب Nourin Sultana (22339463)

الموضوعات:

Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges). حسب Tomokaze Shiratori (9635271)

الموضوعات:

Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges). حسب Tomokaze Shiratori (9635271)

الموضوعات:

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

Variable selection procedure using the Boruta algorithm. حسب Qiudie Liu (22655907)

"…<p>Variable selection procedure using the Boruta algorithm.</p>…"

Feature selection using the Boruta algorithm method. حسب Alemu Birara Zemariam (17540938)

Participant selection algorithm. حسب Alex Gough (16734033)

Participant selection algorithm. حسب Alex Gough (16734033)