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

ROC curve and AUC value of all models. by 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. …”

Missing value percentage for variables. by Xin Liu (43569)

L* Value Increases with Increasing Zinc Oxide Percentage. by Alexandra M. Maldonado López (22127340)

Yield value at 30°C and 20°C. by Nazliah Binti Surpina (20629922)

TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs.... by Brent J. Bellinger (21156150)

“…<p>TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs. …”

Sequential Abbott S/C values. by Neal Alexander (18417)

“…Dark blue points, with first S/C ≥0.49, are defined as positive on the first donation, with any increase to the second donation being less than the threshold for fold change. …”

AUC statistics as calculated from simulated time series. Each statistical metric was calculated within sliding windows, throughout the pre-critical interval. We considered five-, fifteen-, and thirty-day sliding windows. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, 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 tre by Madeline Jarvis-Cross (22394247)

“…To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, 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 tre</p>…”

Criteria for assigning values to C and P. by Xu Tong (8099873)

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

Change in computation time for an increase in number of nodes <i>N</i> and number of people in system <i>K</i> (<i>C</i> = 3). by Shinya Mizuno (3689788)

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

Subjects:

IC₅₀ values for hAChE inactivation and intravenous (i.v.) and intramuscular (i.m.) LD₅₀ values in mice for the substances and some oximes used to treat nerve... by Simon R. Turner (20783682)

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

The comparison of the Mean TPM of common DEGs in P1-C and NP1-C groups. by Bo Fan (383210)

The enriched biological processes from the common DEGs of P1-C & NP1-C. by Bo Fan (383210)

Log IC₅₀ values for inhibition of nicotinic responses in CN21 cells by the substances. by Simon R. Turner (20783682)

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

The attraction basin of system (8) with different values of . (a) ; (b) ; (c) ; (d) . by Jianjun Long (6736796)

Feature engineering. by Youli Jiang (15249070)