Prediction of Fraction Unbound in Human Plasma for Per- and Polyfluoroalkyl Substances: Evaluating Transfer Learning as an Algorithmic Solution to the Problem of Sparse Data by Gabriel Sinclair (10688582)

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Prediction of Fraction Unbound in Human Plasma for Per- and Polyfluoroalkyl Substances: Evaluating Transfer Learning as an Algorithmic Solution to the Problem of Sparse Data by Gabriel Sinclair (10688582)

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Flowchart diagram illustrating the data analysis process using machine learning models. by Aline Xavier Ferraz (19544919)

Feature Importance Analysis of the Algorithms expressed by SHAP indices. by M. A. Habib (16839161)

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Statistical analysis of the prediction results from the ML algorithms. by M. A. Habib (16839161)

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Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms by Kelechi Amamba (21022064)

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Supporting data for "Toward Self-Improving and Sustainable Large Language Models" by Qintong Li (11173806)

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

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

“…We then assess the quality of six bias mitigation algorithms that are deployed across different parts of our learning life cycle: pre-processing, in-processing, and post-processing. …”

Prediction percentage distribution using different algorithms applied in our research. by Md Junayed Hossain (22615268)

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Performance of various biclustering algorithms on ML-100K dataset with SARSA. by Muhammad Waqar (500788)

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Performance of various biclustering algorithms on ML-latest-small dataset with SARSA. by Muhammad Waqar (500788)

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Grid positions of biclusters across three datasets for used biclustering algorithms. by Muhammad Waqar (500788)

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Ten test sets of data. by Hao Cao (2248066)

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Here is the extracted cattle’s image from the original image using YOLOv5 algorithm, which accurately detects and isolates the cattle for further processing. by Md Junayed Hossain (22615268)

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Summary of the metrics of the different trained models foreach algorithm in each split for each dataset. by Jaime B. Matas-Bustos (21772430)

Flow of data processing and preparation. by Xuan Wang (55634)

“…The research problem is addressed by introducing the House Price Evaluation Model (HPEM), which utilizes a hybrid deep learning network for analyzing multi-source geographic data. …”

Data inclusion and exclusion process. by Jingru Dong (14076094)

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

t-SNE plot of processed test data cells. by Oriana Presacan (22232246)