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

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Federated Mixture of experts Correction Algorithm. by Ruizhi Yuan (16864629)

Classification model performance on cross-validation for selected learning algorithms. by Daniel He (3477920)

Distribution of selected studies by database. by Yong Lin Lai (20854961)

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Results of machine learning algorithm. by Balraj Preet Kaur (20370832)

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Distribution of selected studies by publication year. by Yong Lin Lai (20854961)

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PRISMA flowchart for the study selection process. by Yong Lin Lai (20854961)

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Screening criteria applied for the study selection process. by Yong Lin Lai (20854961)

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Summary of the feature selection algorithms. by Martin Kostadinov (20410120)

ROC comparison of machine learning algorithm. by Balraj Preet Kaur (20370832)

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Types of machine learning algorithms. by Md. Merajul Islam (12646837)

“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …”

Performance of the machine learning algorithms. by Novel Chandra Das (19742953)

“…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…”

Performance of the machine learning algorithms. by Novel Chandra Das (19742953)

“…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…”

Feature selection using Boruta algorithm. by 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.…”

Parameterization of the feature selection algorithm. by Chenyi Zhu (9383370)

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Hyperparameters of machine learning algorithms used grid search. by Mahade Hasan (20536430)

Establishment and validation of the machine learning prediction model. by Qiudie Liu (22655907)

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Quantum Descriptor-Based Machine-Learning Modeling of Thermal Hazard of Cyclic Sulfamidates by Michal Dabros (10343989)

Accuracy of SVM-RFE Algorithm for Feature Selection. by Tianhua Chen (6124367)

Workflow of the proposed enhanced Random Forest (eRF) algorithm for volcanic lithology classification. by Xiu Jin (9452603)