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

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

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

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. …”

Accuracy of inference from simulated data. by Adam G. Fine (21763286)

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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. …”

Accuracy of inference from data-matched simulations. by Adam G. Fine (21763286)

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HMM to infer selection. by Adam G. Fine (21763286)

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Strip plots of inferred against true s for data-matched simulations. by Adam G. Fine (21763286)

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Confusion matrix for the procedure to infer selection mode applied to data-matched simulations. by Adam G. Fine (21763286)

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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. …”

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. …”

Inference using incorrect selection mode. by Adam G. Fine (21763286)

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Comparative overview of multi-objective optimization algorithms. by Xiaodan Li (132227)

Confusion matrix when inferring the mode of selection. by Adam G. Fine (21763286)

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Two-dimensional space of general diploid selection. by Adam G. Fine (21763286)

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P-values and frequency trajectories around significant SNPs. by Adam G. Fine (21763286)

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Results for the ASIP locus under different selection modes. by Adam G. Fine (21763286)

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Frequency trajectory and evidence for non-neutrality at the ASIP locus. by Adam G. Fine (21763286)

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Manhattan plot of additive p-values. by Adam G. Fine (21763286)

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