Effect of class imbalance on predictive performance. by Thierry Jean (20691795)

Class-wise performance on the test set. by Muhammad Zubair (728141)

“…<div><p>Alzheimer’s disease (AD) is a neurodegenerative illness causing a significant decrease in cognitive function, and early, accurate diagnosis is of great therapeutic and diagnostic value. …”

Investigating the trend of land use class changes. by Abdolhossein Boali (19996390)

Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

Accuracy of multiple classifiers with a deep-learning-based feature set by Afira Aslam (21433666)

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S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

SHAP interpretation of the optimal machine learning model. by Wentao Yang (205781)

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Performance comparison of machine learning models across accuracy, AUC, MCC, and F1 score on GMSC dataset. by Seongil Han (20490232)

Performance comparison of machine learning models across accuracy, AUC, MCC, and F1 score on GMSC dataset. by Seongil Han (20490232)

Information of dataset with number of images in each class for training, validation, and testing. by Afira Aslam (21433666)

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Comprehensive evaluation of machine-learning models in the training cohort. by Wentao Yang (205781)

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Skin marks is the S1 Fig title. by Mercedes Soto-González (20422078)

Representative sample images from each category used in the multi-class classification task. by Afira Aslam (21433666)

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Performance comparison of the machine learning models in the training cohort (n = 29,309). by Wentao Yang (205781)

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Class and family relative abundance across the dataset. by Fathi A. Mubaraki (21736511)

Analysis of correlation of RV-GLS over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

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Analysis of correlation of LV-GLS over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

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Standard deviation of the difference between the LV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

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RV-GLS agreement analysis between expert and novice trainees over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

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Standard deviation of the difference between the RV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

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