Comparison of Testing Performance Using Various Performance Evaluation Indicators. by Wan-Hua Zhang (21601139)

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Predictive performance of algorithms for binary classification of bacterial vs. non-bacterial meningitis (AUC-ROC). by Audêncio Victor (10400699)

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

<b>Comparing Different Supervised Classifications</b><b> </b><b>Methods for Land Use and Land Cover Mapping </b><b>with Sentinel-2 Data in Google Earth Engine</b> by Omid Shobairi (22317805)

Comparison of Proposed Model using Unseen Data. by Saim Chishti (22272188)

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Comparison of proposed model using unseen data. by Saim Chishti (22272188)

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Comparison of imbalanced data handling techniques using accuracy and AUC values. by Alemu Birara Zemariam (17540938)

TreeMap 2016 Forest Type Algorithm (Image Service) by U.S. Forest Service (17476914)

“…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …”

Confusion matrix of the proposed algorithm and state of the art (part 1). by Meshari Alazmi (452881)

Confusion matrix of the proposed algorithm and state of the art (part 2). by Meshari Alazmi (452881)

Table 1_Leveraging data augmentation for machine learning models in predicting depression and anxiety using the Revised Child Anxiety and Depression Scale clinical reports.docx by Saleha Noor (22697930)

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Table 2_Leveraging data augmentation for machine learning models in predicting depression and anxiety using the Revised Child Anxiety and Depression Scale clinical reports.docx by Saleha Noor (22697930)

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Scatter diagram of different principal elements. by Jizhong Wang (7441697)

“…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. Firstly, data on dissolved gases in oil is collected, and a 17 dimensional fault feature matrix is constructed using the uncoded ratio method. …”

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

“…The findings are as follows:</p><p>1.Machine learning algorithms can be effectively used for urban noise evaluation. …”

Supplementary file 1_A combined approach to lithology identification using reinforcement learning and transformer algorithms.pdf by Xiongwei Li (5374982)

Identification of circadian rhythm-related biomarkers and development of diagnostic models for Crohn’s disease using machine learning algorithms by Zhijing Zhao (6569369)

“…Diagnostic models were constructed using machine learning algorithms, and biologic therapy efficacy was predicted with advanced regression techniques. …”

Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms by Connor Lee (22327243)

Supplementary file 1_Postoperative recurrence prediction model for perianal abscess using machine learning algorithms.docx by Dawei Wang (471687)

“…Significant predictors were identified using the least absolute shrinkage and selection operator (LASSO) algorithm combined with multivariate logistic regression. …”

Data and code resources. by Sam Hall-McMaster (10343795)

“…Decoding from functional magnetic resonance imaging data revealed that solutions from the SF&GPI algorithm were activated on test tasks in visual and prefrontal cortex. …”

Summary of currently used data sets on lie detection. by Dmitri Bershadskyy (14684464)

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