بدائل البحث:
significant model » significant amount (توسيع البحث), significant burden (توسيع البحث), significant gender (توسيع البحث)
point decrease » point increase (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), mean decrease (توسيع البحث)
significant model » significant amount (توسيع البحث), significant burden (توسيع البحث), significant gender (توسيع البحث)
point decrease » point increase (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), mean decrease (توسيع البحث)
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The ten most significant features of the Random Forest model based on classification accuracy.
منشور في 2024الموضوعات: -
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MAE significance comparison between MSCALSTM and baseline models based on Energy dataset.
منشور في 2025"…<p>MAE significance comparison between MSCALSTM and baseline models based on Energy dataset.…"
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Reduced (owner-animal metadata) XGBoost model on the <i>significant illness</i> binary using the all-owner dataset.
منشور في 2024"…Acceptance threshold is indicated by the colour bar on the right-hand side, and also shown at discrete points on the curve. (b) Graph depicting the relative contribution of predictor variables to the all-variable XGBoost model for the <i>significant illness</i> binary. …"
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Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses
منشور في 2025"…In contrast, reversing managed to natural ecosystems significantly increased NNM by 20% (9.7, 25.4%) and decreased NN by 89% (−125, −46%), indicating increasing N availability while decreasing potential N loss. …"
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Reduced (owner-animal metadata) XGBoost model on the <i>significant illness</i> binary using the primary decision-maker dataset.
منشور في 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%. …"