Confusion matrix for RUSBoost algorithm (3000 Learning Cycles) highlights the classification accuracy across different classes. by Sadia Nazim (21440115)

Analysis of several machines and deep learning algorithms for multi-station air quality datasets. by Lakshmi Sankar (22086589)

Algorithm framework. by Zongjin Li (38031)

Subjects:

Radar chart comparing the performance of deep learning features (deepFeature) with 12 handcrafted features across four machine learning algorithms. by Rui-Si Hu (5337227)

AUC-ROC curves of LNG trade network link prediction via Six Machine Learning Algorithms. by Pei Zhao (487688)

Subjects:

Frameworks: Infrastructure for Political and Social Event Data Using Machine Learning by Javier Osorio (21782588)

Supplementary data for "Algorithm-level data-guided correction for class imbalance in biological machine learning predictions: Protein interactions as a case" by Ebrahim Barzegari (21152114)

“…Correct and efficient use of algorithm-level methods, on the other hand, needs paying heed to data structure and content. …”

Node coding process. by Jun Zhao (59250)

Receiver operating characteristic curves for different algorithms. by Yingying Liu (360782)

Comparative results with existing representative algorithms. by Yan Qin (118276)

Optimization algorithms performance comparison across benchmark functions. by Sundreen Asad Kamal (20390818)

Diagram of BILSTM-AEAM algorithm structure. by Hao Cao (2248066)

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Microsoft excel file containing exhaustive list of Abbreviated-Injury Scale codes used to generate binary variables encoding the presence or absence of injury to various body regio... by Michael D. Cobler-Lichter (22492930)

Subjects: “…conventional prediction algorithms…”

Data Sheet 1_Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty.pdf by Yanchen Wang (13251966)

“…One approach to improve trustworthiness and fairness in AI systems is to use bias mitigation algorithms. However, most bias mitigation algorithms require data sets that contain sensitive attribute values to assess the fairness of the algorithm. …”

Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

<b>ODS2 - Dataset of smear microscopy images labelled to evaluate algorithms for bacilli detection</b> by Marly G F Costa (19812192)

Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

“…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …”

Results obtained from the supervised classification-based machine learning algorithms to predict deposition quality. by Akshansh Mishra (21001499)

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Coding schematic. by Dongyan Wang (195482)

Observations that influence the accuracy of the algorithm. by Rabnawaz Khan (6509084)