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)

Area under the curve (AUC) for external validation performance. by Junichi Kushioka (12236447)

Subjects:

ROC Curve for the Best Model (AUC = 0.92). by Mudhafar Jalil Jassim Ghrabat (22177655)

“…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …”

The refracted opposition-based learning mechanism. by Yang Guo (399435)

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Decrease in loss during the training process. by Muhammad Idrees (92773)

The ROC curves and AUC values of the diagnostic model. by Zhe Wu (582498)

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

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Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

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Daily number of adverse outcomes (bars) and area under the precision-recall curve (AUC-PRC) per day of the fullPIERS model. by Guiyou Yang (10259597)

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Daily number of adverse outcomes (bars) and area under the precision-recall curve (AUC-PRC) per day of the PIERS-ML model. by Guiyou Yang (10259597)

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Column charts of WiAUC in therapy and control group at baseline and follow-up. by Felix L. Herr (21544362)

The top 10 putative metabolites with the largest negative fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

The top 10 putative metabolites with the largest positive fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

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

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Cross-lagged panel model based on physical activity, aggressive behavior and Chinese language learning. by Zixia Bu (21475019)

Salt chemotaxis learning assay. by Masahiro Tomioka (430683)

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

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AUC ROC curve. by Dieuwke Luijten (15282736)

Youthful systemic milieu in young recipients decreased apoptosis and oxidative stress damage in allografts, and promoted proliferation. by Chengjun Yu (12136227)