Showing 1 - 20 results of 833 for search '(( third ((set decrease) OR (((mean decrease) OR (_ decrease)))) ) OR ( ai large decrease ))', query time: 0.46s Refine Results
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    Candidates from the RF method. The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respectively.... by Zoë Parker Cates (22184243)

    Published 2025
    “…The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respectively. …”
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    Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

    Published 2025
    “…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. …”
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    Participants enrollment. by Chikondi Maluwa (20660522)

    Published 2025
    “…Among the 422 caregivers who participated in the study, 267 (63.2%) were females and mean age was 44.94 years. The baseline mean knowledge level score was 9.5 (38.0%) and rose to 21.08 (84.3%) p = 0.000 immediate post-health education and a 2.1% decrease 20.54 (82.2%) p<0.001 at week six from the immediate post health education score. …”
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    KAP assessment scores (n = 422). by Chikondi Maluwa (20660522)

    Published 2025
    “…Among the 422 caregivers who participated in the study, 267 (63.2%) were females and mean age was 44.94 years. The baseline mean knowledge level score was 9.5 (38.0%) and rose to 21.08 (84.3%) p = 0.000 immediate post-health education and a 2.1% decrease 20.54 (82.2%) p<0.001 at week six from the immediate post health education score. …”
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    Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

    Published 2025
    “…Scoring discrepancies were resolved by a blinded third rater. Intraclass correlation coefficients (ICCs), paired samples <i>t</i>-tests, and descriptive statistics evaluated interrater reliability, accuracy, and speed. …”
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