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)

“…After that, blank and inconclusive data were removed, as well as the outcomes that had values other than discharge and death, rendering a binary classification. …”

Relationship between monthly NDVI and climatic variables values (Tmax, maximum air temperature; P, precipitation; VPD, vapor pressure deficit), in areas with decreasing trends (<i>p</i> < 0.05). by Oswaldo Maillard (20660661)

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Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically significance values. by Oswaldo Maillard (20660661)

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PRCC values (with <i>p</i>-values in parentheses) for the median final population size and difference in mean MSI at the final time, without weevil predation and with weevil predat... by Alexandra M. Campbell (3284094)

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

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Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values. by Oswaldo Maillard (20660661)

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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. …”

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

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The correlation coefficient (<i>r</i>) between NDVI values and the seasonal series (2001–2020) of maximum air temperature (Tmax), precipitation (P), and vapor pressure deficit (VPD... by Oswaldo Maillard (20660661)

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

Relationship between monthly NDVI and climatic variables values (Tmax, maximum air temperature; P, precipitation; VPD, vapor pressure deficit), in areas with increasing trends (<i>... by Oswaldo Maillard (20660661)

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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)

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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)

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

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

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Forest plot of ROR values used to assess gender differences in penicillamine-related AEs. by Wenlong Qian (22608053)

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Yearly crude rates normalized by their 1999 value. by Tony Wong (779773)

“…<p>Values below 1 indicate crude rate decreases relative to their 1999 value, those above 1 indicate increases. …”

Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

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

“…<p>(A) A comprehensive view of the influence each variable has on model predictions, with N Stage Status ranked on top (B) Bar plot of mean absolute SHAP values by decreasing order of importance</p>…”