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

ROC curve and AUC value of all models. حسب Tiago de Oliveira Barreto (20485207)

"…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …"

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

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" حسب Kira Shaw (18796168)

"…The locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …"

AUC of various models to predict imeglimin efficacy for liver function evaluated by ROC curves. حسب Naruyoshi Gyoutoku (22537831)

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

AUC ROC curve. حسب Dieuwke Luijten (15282736)

Statistical analysis of the AUC measurement. حسب Esra Ayan (21156015)

"…<p>Analysis indicated that INSv application significantly changed spontaneous calcium activity (IAsp <i>p</i>-value: 0.1290, INSv <i>p</i>-value: 0.0002). The mean AUC decreased in both samples.…"

Area under the ROC Curve (AUC) analysis to predict AIS conversion at 6-months and 1-year following acute cervical tSCI. حسب Harshit Arora (22008280)

Area under the ROC curve (AUC) analysis to predict neurological severity at 6-months and 1-year following acute cervical tSCI. حسب Harshit Arora (22008280)

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

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

Feature importance and beeswarm plot determined by mean absolute SHAP values for the DeepSurv model. حسب Theophilus Gyedu Baidoo (21162511)

AUC statistics comparing statistical trends in control and test populations. حسب Madeline Jarvis-Cross (22394247)

"…<p>To evaluate statistical trends, we calculated Kendall’s rank correlation coefficient during the pre-critical interval (here, days one to sixty), and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger trends. …"

AUC surface with respect to regularization parameters <i>λ</i> and . حسب Yangsong He (13909371)

Ethnic identity as a moderator among APIDA students. حسب Ronna Bañada (19233063)

Feature importance and beeswarm plot determined by mean absolute SHAP values for the random survival forest (RSF) model. حسب Theophilus Gyedu Baidoo (21162511)

Comparative Internal and External AUC Performance Across Single-Site Models. حسب Ioana Duta (18462981)

"…Boxplots describe the distribution of AUC values obtained through bootstrap resampling, indicating the variance within internal and external validations. …"

The correlogram. حسب Bingtao Su (4740009)

"…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …"

The food consumption quantity. حسب Bingtao Su (4740009)

"…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …"