Showing 1 - 20 results of 74,820 for search '(( significant dogs based ) OR ( significant ((nn decrease) OR (a decrease)) ))', query time: 1.09s Refine Results
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    All-variable XGBoost model on the <i>significant illness</i> binary using the all-owner dataset. by Richard Barrett-Jolley (739341)

    Published 2024
    “…This shows the increasing true positive and false positive rates, with decrease of the threshold probability for prediction of <i>significant illness</i>. …”
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    Reduced (owner-animal metadata) XGBoost model on the <i>significant illness</i> binary using the all-owner dataset. by Richard Barrett-Jolley (739341)

    Published 2024
    “…This shows the increasing true positive and false positive rates, with decrease of the threshold probability for prediction of <i>significant illness</i>. …”
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    Reduced (owner-animal metadata) XGBoost model on the <i>significant illness</i> binary using the primary decision-maker dataset. by Richard Barrett-Jolley (739341)

    Published 2024
    “…Acceptance threshold is indicated by the colour bar on the right-hand side, and also shown at discrete points on the curve. For example, with a threshold probability of 0.05, the model correctly predicts approximately 73% of dogs where the <i>significant illness</i> outcome was classified as ‘yes’, but the false-positive rate is approximately 45%. …”
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    Data from population A analyzed for this report. by Birgit Deboutte (19452787)

    Published 2024
    “…The heritability estimates of the LI, estimated using Bayesian statistical methods, were high in both populations (0.83 in population A and 0.82 in population B). Improved screening of parents by combining the VMBDD technique with the VDHE, significantly decreased LI and the prevalence of CHD in their offspring. …”
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