Best optimizer result for Extra tree. by Balraj Preet Kaur (20370832)

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Hyperparameter settings. by Yi Wei Tye (22208735)

LSTM hyperparameters. by Yao Hu (3479972)

Best optimizer results of gradient boosting classifier. by Balraj Preet Kaur (20370832)

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The framework of Genetic algorithm for hyper-parameter optimization. by Balraj Preet Kaur (20370832)

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Best optimizer result for gradient boosting classifier. by Balraj Preet Kaur (20370832)

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The range of hyperparameters. by Guomei Cui (20721578)

“…It combines the advantages of Random Forest (RF) and Gradient Boosting Tree (GBT), and improves the accuracy and efficiency of the model in sprint pattern recognition by adaptively adjusting the hyperparameter and tree structure. Specifically, by introducing adaptive feature selection and ensemble learning methods, the decision tree algorithm effectively improves the recognition ability of the model for different athletes and sports states, thus reducing the over-fitting phenomenon and improving the generalization ability. …”

Hyperparameters of derived DNN models. by Ja-Ho Koo (6561596)

Hyperparameters characteristics. by Md. Shafak Shahriar Sozol (21212880)

“…This study aimed to address these challenges in fire and smoke detection in indoor settings. It presents a hyperparameter-optimized YOLOv5 (HPO-YOLOv5) model optimized by a genetic algorithm. …”

Radar chart showing normalized values for hyperparameters and model performance metrics after OcOA tuning. by Doaa Sami Khafaga (21463870)

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The Flowchart of the Hybrid GWO-BBOA Optimization Process. by Ali Abbas Abbod (22386097)

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Hyperparameters of various algorithms. by Chengcheng Ding (9013862)

Flowchart of KELM parameters optimized by EAWOA. by ZeSheng Lin (20501356)

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Hyperparameter in symbolic regression process. by Mengze Zhang (19422095)

Hyperparameters of MAGT-toll. by Jiaming Lu (8608989)

The hyperparameters setting of RE-RRT*. by Naeem Ul Islam (19837966)

Mean (SD) cross-validation accuracy, the test set accuracy, and the optimal hyperparameters used for each random forest model. by Danyon Stitt (19753351)

Selection of hyperparameters and values for each model. by Tiago de Oliveira Barreto (20485207)

Experimental settings and hyperparameters. by Chao Ji (276390)

Hyperparameter and model configurations. by Hongtao Wang (570131)