Performance of machine learning algorithms. by Wenxue Liu (6877754)

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Pseudocode for the missForestPredict algorithm. by Elena Albu (15181070)

“…The missForestPredict R package proposes an adaptation of the missForest imputation algorithm that is fast, user-friendly and tailored for prediction settings. …”

Data and code resources. by Sam Hall-McMaster (10343795)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Improved random forest algorithm. by Zhen Zhao (159931)

“…Compared with MDA-RF, the prediction accuracy of the improved RF built on the same subset increased by 1.7%, indicating that improving the bootstrap sampling of random forest by using the K-means++ clustering algorithm can enhance model accuracy to some extent. …”

Pseudocode for the missForestPredict algorithm - new observation. by Elena Albu (15181070)

Code used for data analysis in this study. by Nourin Sultana (22339463)

Subjects:

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

The schematic diagram of the iForest algorithm. by Zhibo Xie (6790775)

“…A measurement anomaly detection algorithm based on the improved isolated forest algorithm is proposed. …”

The basic process of feature selection of the random forest algorithm. by Jintao Li (448681)

The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

Subjects:

Flowchart of the SSA-based optimization of the BPNN algorithm. by Yeping Shi (14279118)

Subjects:

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Results of Random Forest. by Balraj Preet Kaur (20370832)

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Random forest with hyperparameter optimization. by Balraj Preet Kaur (20370832)

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”