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

“…In Rio Grande do Norte, Brazil, the <i>RegulaRN Leitos Gerais</i> platform was the information system developed to register requests for bed regulation for COVID-19 cases. …”

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

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

Subjects:

Demographic and ocular features. by Mingxi Shao (10066570)

“…The XGBoost or KNN model using TAS alone achieved the highest AUC (0.74) in five-fold cross-validation.</p><p>Conclusion</p><p>The decrease in TAS levels and the increase in H₂O₂ and MDA levels are found to be correlated with PCG, and the results indicate that oxidative stress plays a part in congenital glaucoma onset.…”

Machine learning model to diagnose PCG. by Mingxi Shao (10066570)

“…The XGBoost or KNN model using TAS alone achieved the highest AUC (0.74) in five-fold cross-validation.</p><p>Conclusion</p><p>The decrease in TAS levels and the increase in H₂O₂ and MDA levels are found to be correlated with PCG, and the results indicate that oxidative stress plays a part in congenital glaucoma onset.…”

ROC curves of TAS + SOD + MDA to diagnose PCG. by Mingxi Shao (10066570)

“…The XGBoost or KNN model using TAS alone achieved the highest AUC (0.74) in five-fold cross-validation.</p><p>Conclusion</p><p>The decrease in TAS levels and the increase in H₂O₂ and MDA levels are found to be correlated with PCG, and the results indicate that oxidative stress plays a part in congenital glaucoma onset.…”

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

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

TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

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

Feature engineering. by Youli Jiang (15249070)

Subjects:

Evolution of the average median AUC scores per dataset, on the validation and test sets, at increasing levels of variable selection, for taxonomic and functional (SoFA) profiles. by Baptiste Ruiz (20285217)

TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

Flow diagram of participants selection. by Wei Huang (36889)

Subjects:

Minimal data set. by Wei Huang (36889)

Subjects:

Weighted comparison of baseline characteristics. by Wei Huang (36889)

Subjects:

Table of values for <i>p.</i> by Long Di (9977453)

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

Effect of pH on PPQ AUC. by Breanna Walsh (21800207)

“…<p><b>A-D:</b> Parasites were exposed to increasing levels of PPQ for 84 h in acidic (pH = 6.74), normal (pH = 7.5) or basic (pH = 8.24) media. …”

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