The Search process of the genetic algorithm. by Wenguang Li (6528113)

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Genetic algorithm flowchart. by Wenguang Li (6528113)

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Genetic algorithm iteration data chart. by Wenguang Li (6528113)

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Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

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

Improved random forest algorithm. by Zhen Zhao (159931)

“…Subsequently, the feature factors corresponding to the model with the highest accuracy were selected as the optimal feature subsets and used in the model construction as input data. Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

Performance comparison of different adoption algorithms in XGBoost model. by Wenguang Li (6528113)

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Improve algorithm settings. by Hui Zhao (7395)

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Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. by Abeer Aljohani (18497914)

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Accuracy of the Random forest algorithm for different values of test samples and different choice window indexes. by Abeer Aljohani (18497914)

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Schematic diagram of the SARIMA algorithm flow. by Yongxin Dai (13796385)

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Noise reduction by the sliding average algorithm. by Yongxin Dai (13796385)

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Parametric study of accuracy of the Random forest algorithm for different proportions of test samples and different choice of random states. by Abeer Aljohani (18497914)

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ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Evaluating and mapping spatial drought in northeast Thailand: utilizing analytic hierarchy process and random forest algorithms by Zahid Naeem Qaisrani (21567311)

“…This study evaluates drought vulnerabilities in Northeast Thailand using geospatial datasets and analysis combined with a random forest (RF) approach. The Analytical Hierarchy Process (AHP) was employed to map different drought types based on 14 spatial criteria. …”

Confusion matrix for Random Forest algorithm (3000 Number of trees) highlights the classification accuracy across different classes. by Sadia Nazim (21440115)

Construction process of RF. by Xini Fang (20861990)

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The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

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Visualization of mean absolute SHAP values for conditional algorithm for each class. by Sadia Nazim (21440115)