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

Subjects:

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. …”

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

Subjects:

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.…”

Optimal parameters of the machine learning algorithm. by Novel Chandra Das (19742953)

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

Application of machine learning in feature selection. by Huisi Qiu (4424938)

Replication Package: Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction by Md Nadim (17811941)

Three machine learning algorithms were further employed to select candidate key hub genes. by Zhifeng Wu (303016)

Key gene identification based on two machine learning algorithms. by Lijun Guo (605276)

“…<b>(E)</b> Venn diagrams of hub genes screened by two machine learning algorithms.</p>…”

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

“…</p><p>Methods</p><p>Multiple machine learning (ML) algorithms were applied to data from the 2022 Bangladesh Demographic Health Survey, including Random Forest, Decision Tree, K-Nearest Neighbors, Logistic Regression, Support Vector Machine, XGBoost, LightGBM and Neural Networks. …”

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

On selecting robust approaches for learning predictive biomarkers in metabolomics datasets by Thibaud Godon (22093274)

Detailed discriminative characteristics of ROC curve for nine machine-learning algorithms. by Yu Cai (112178)

Results of machine learning for hub gene selection. by Yinghao Ren (17915291)

Proposed genetic algorithm for feature selection. by Shirin Dehghan (19837936)

Subjects:

Machine learning prediction metrics and their equations. by Amal H. Alharbi (21755906)

Feature selection results from machine learning algorithms: XGBoost (A), SVM-RFE (B), and Boruta (C, D). by Qinghua Wen (22104177)

The flowchart of machine learning classification module. by Li Zhang (8200)