Showing 1 - 20 results of 19,693 for search '(((((( 59 nn decrease ) OR ( a means decrease ))) OR ( 50 nsn decrease ))) OR ( 50 ng decrease ))', query time: 0.72s Refine Results
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    Variable importance plot (mean decrease accuracy and mean decrease Gini). by Fernando Martinez-Taboada (8655132)

    Published 2020
    “…The variables are presented from descending importance. The mean decrease in Gini coefficient is a measure of how each variable contributes to the homogeneity of the nodes and leaves in the resulting random forest. …”
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    Comparison of mean differences in temperature decreases. by Hans-Jörg Gillmann (8460585)

    Published 2022
    “…Acetaminophen was associated with a steeper and more prolonged temperature decrease than dipyrone.…”
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    Mean squared error of estimates decreases with larger datasets. by Alexander Eugene Zarebski (12078347)

    Published 2022
    “…<p>The mean squared error in the estimates of under the posterior distribution decreases as the size of the dataset increases. …”
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    Reproductive Toxicity and Teratogenicity of Fluorene-9-bisphenol on Chinese Medaka (Oryzias sinensis): A Study from Laboratory to Field by Xiaolin Fan (1605136)

    Published 2022
    “…Toxico-transcriptome analyses showed that estrogen-responsive genes were significantly suppressed by BHPF, indicating that antagonist properties of BHPF on estrogen receptors might be causes for the decreased fecundity. Field investigations (Beijing) demonstrated that BHPF was detectable in 60% surface waters, with a mean concentration of 10.49 ± 6.33 ng/L, by gas chromatography–mass spectrometry, and similar effects in wild Chinese medaka were also observed, some of which the parameters were found to be obviously correlated with the BHPF levels in corresponding waters.…”
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    Mean decrease in accuracy (MDA) of top 15 urine metabolites. by Liam E. Broughton-Neiswanger (8447220)

    Published 2020
    “…Urine metabolites with a mean decrease in accuracy ≥ 0.004 in at least one post-treatment time point (2–5) were considered for inclusion in the predictive model.…”