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

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

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…We find evidence that the generalised GLS-KGR algorithm is well-suited to such time-series applications, outperforming several standard techniques on this dataset.…”

RFEcv algorithm flowchart. by Xinrui Wang (488330)

Variables tested in the ML algorithms. by Gilson Yuuji Shimizu (19837946)

“…</p><p>Conclusions</p><p>Among the machine learning algorithms evaluated, Random Forest showed the best generalization ability, both internally and externally. …”

Flowchart of the artificial bee colony algorithm. by Wei Su (89824)

“…The coefficient of determination (<i><i>R</i></i>²) is 0.93, significantly higher than for all comparison models. The findings demonstrate the effectiveness of combining an intelligent optimization algorithm with the LSSVM model. …”

Learning curves under various machine algorithms. by Jinlin Teng (17972595)

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ROC curves under various machine algorithms. by Jinlin Teng (17972595)

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Selected Best Parameters. by Binghan Xue (21253235)

“…These models were trained on comprehensive biological activity profile data to predict the relationship between 143 gene targets and over 6000 compounds. …”

Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

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)

Confusion matrix. by Shaik Ahamed Fayaz (19859670)

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Baseline characteristics of TB patients. by Shaik Ahamed Fayaz (19859670)

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This is a minimal dataset for this analysis. by Shaik Ahamed Fayaz (19859670)

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Performance metrics of best algorithms for multiclass classification by serogroup of bacterial meningitis with hyperparameter tuning. by Audêncio Victor (10400699)

A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

Performance metrics of best algorithms for binary classification of bacterial vs. non-bacterial meningitis with hyperparameter tuning. by Audêncio Victor (10400699)

Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. by Matteo Straccamore (15083799)

Data Sheet 1_i-DENV: development of QSAR based regression models for predicting inhibitors targeting non-structural (NS) proteins of dengue virus.docx by Sakshi Gautam (10305897)

Data underlying the findings. by Carol Kotliar (22351525)