Computed values of density and viscosity of buffers. by Eunhee Lee (804130)

AUC-ROC and AUPR values of different methods. by Shayan Majidifar (19541065)

“…(A) The AUC-ROC value of SVM remains stable and almost constant even when the sampling ratio increases. …”

Feature engineering. by Youli Jiang (15249070)

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Scatterplot of the mean cross-validated AUC (AUC-cv) and the maximum dispersal distance for the six amphibian species tested. by Damian O. Ortiz-Rodríguez (17343308)

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Scatterplot of mean cross-validated AUC (AUC-cv) and the maximum dispersal distance for the six amphibian species tested, with linear regression trendlines. by Damian O. Ortiz-Rodríguez (17343308)

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Scatterplot of the mean cross-validated AUC (AUC-cv) and the (log transformed) number of components of habitat networks for six amphibian species (colors), with linear trendlines. by Damian O. Ortiz-Rodríguez (17343308)

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Scatterplot of mean cross-validated AUC (AUC-cv) and the mean number of regression trees used in the boosted regression trees (BRT) models, grouped by species, with trendlines. by Damian O. Ortiz-Rodríguez (17343308)

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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Receiver operating characteristic (ROC) curve and AUC value under the current (1970–2000) period (10 replicated runs). by Shahzad Ali (3700111)

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”

Two hypothesized models for C period decrease as growth rate increases. by Sara Sanders (4163479)

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

The weighted clustering coefficient increases with fluctuations attain a peak by about May 01, 2020, and decreases to a stable value from July 2020. by Satyam Mukherjee (2576785)

“…<p>The weighted clustering coefficient increases with fluctuations attain a peak by about May 01, 2020, and decreases to a stable value from July 2020.…”

ROC-AUC for the apoB/apoA-1 ratio and apoB for different outcomes for men and women aged 25–69 years. by Göran Walldius (286838)

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Significance (p-value), standard error, and R² scores for the linear relation between maximum dispersal distance and cross-validated AUC (AUC-cv) across all the network... by Damian O. Ortiz-Rodríguez (17343308)

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ROC curves separated by mutations that decrease in volume from mutations that increase in volume. by Christopher Negron (1344885)

“…The tables on the right list the area under the curve (AUC) values along with corresponding 95% confidence interval (CI) for the AUCs.…”

ROC curves and the corresponding AUC values. by Salih Furkan Atici (12988243)

STAT6-driven immunity decreases <i>N</i>. <i>brasiliensis</i> reproductive output and survival within host. by Annabel A. Ferguson (17616286)

Feature importance values for ‘all’ feature models. by Janna Axenbeck (10526073)

Neutralization AUC values of WT and SP-swapped viruses grown in 293T cells and PBMCs. by Chitra Upadhyay (817121)

“…<p>AUCs values that decreased or increased by >30% and had p<0.05 relative to WT for the same MAbs or CD4IgG are shown in orange or green, respectively. …”