Immune infiltration analysis of the prognostic model in LIHC using multiple algorithms. by Shuang Zheng (768179)

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

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.…”

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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Performance of HFKG (triplet selection) on multiple clients divided by different datasets. by Chunjuan Li (7890182)

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

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

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Scenarios for algorithms using IEEE 33 bus. by Bachirou Bogno (20485724)

Scenarios for algorithms using IEEE 69 bus. by Bachirou Bogno (20485724)

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

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List of the time used by each algorithm. by JiaMing Gong (20427837)

“…In this manner high quality and common samples are randomly selected for training the classifier. Finally, to solve the issue of concept drift, EDAC designs and implements an ensemble classifier that uses a self-feedback strategy to determine the initial weight of the classifier by adjusting the weight of the sub-classifier according to the performance on the arrived data chunks. …”

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

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

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Standard model selected for research. by Guangmei Ma (21432861)

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. …”

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

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Notable studies on demand forecasting using deep learning. by Mohd Sakib (20565228)

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