Details of multiple GWO algorithm variants. by Genliang Li (5816264)

Performance comparison of ML algorithms across multiple evaluation metrics. by Muhammad Tausif (12385892)

Steps involved in genetic algorithm for feature selection. by Mohd Sakib (20565228)

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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. …”

Histogram of accuracy values for different machine learning models across multiple runs. by Amal H. Alharbi (21755906)

IRBMO vs. feature selection algorithm boxplot. by Chenyi Zhu (9383370)

“…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …”

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …”

Box plot the selected feature for weekends and weekdays in the dataset. by Mohd Sakib (20565228)

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Run times of two algorithms. by Gourab Saha (8987405)

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IRBMO vs. meta-heuristic algorithms boxplot. by Chenyi Zhu (9383370)

“…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …”

Candidate predictor variables included in the initial parameter selection. by Hamid Ghanbari (6821096)

In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons by Owen Powell (16328658)

Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

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Sensor value scenario for average value algorithm. by Gourab Saha (8987405)

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Data Sheet 1_Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms.csv by Hongjun Tao (21448853)

“…</p>Objective<p>This study aims to identify highly sensitive predictive indicators for forward head posture in primary school children using the Least Absolute Shrinkage and Selection Operator (LASSO) regression algorithm. Multiple machine learning algorithms are applied to construct distinct risk prediction models, with the most effective model selected through comparative analysis. …”

Water consumption due to average value and fuzzy logic algorithm. by Gourab Saha (8987405)

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Crop yield prediction accuracy using different ML algorithms. by Gourab Saha (8987405)

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Mean parameter values for the selected crops. by Gourab Saha (8987405)

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Evaluation metrics of selected ML models. by Gourab Saha (8987405)

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Fits of selected conformations to experimental SANS data. by Samuel Eriksson Lidbrink (21616146)