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

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

Types of machine learning algorithms. by Md. Merajul Islam (12646837)

“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.…”

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. …”

Improve algorithm settings. by Hui Zhao (7395)

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T-test comparison of proposed model with Random Forest. by Saim Chishti (22272188)

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Performance metrics of the Random Forest model on Unseen data. by Saim Chishti (22272188)

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Performance metrics of the Random Forest model on the training dataset. by Saim Chishti (22272188)

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Confusion matrix heatmap for the Random Forest model on the training dataset. by Saim Chishti (22272188)

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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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Confusion matrix heat map for the Random Forest model on Unseen Data. by Saim Chishti (22272188)

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ROC curve showing the AUC performance of the Random Forest model on Unseen Data. by Saim Chishti (22272188)

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ROC curve showing the AUC performance of the Random Forest model on Unseen Data. by Saim Chishti (22272188)

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The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

PR & ROC curve showing the AUC performance of the Random Forest model on the training dataset. by Saim Chishti (22272188)

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PR & ROC curve showing the AUC performance of the Random Forest model on the training dataset. by Saim Chishti (22272188)

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Achieved scores of these models based on performance metrics. by Md. Fahim Ul Islam (22470251)

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Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms. by Daniel Walke (21680915)

Intelligent prediction of short-term photovoltaic power output based on PSO-RF and LASSO-penalized multi-kernel learning-based robust regression algorithm by Zhuoya Siqin (22400264)

“…This paper presents a novel approach to improving the precision of PV power forecasting, based on a LASSO-penalized multi-core learning-based robust regression algorithm with random forest (RF) optimization. …”