بدائل البحث:
significant problem » significant progress (توسيع البحث), significant variables (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
significant problem » significant progress (توسيع البحث), significant variables (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
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61
Prevalence of dermatological, oral and neurological problems from face mask use.
منشور في 2022الموضوعات: -
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Univariate linear regression analysis of scales.
منشور في 2025"…<div><p>Objective</p><p>Body image perception significantly impacts university students’ well-being and potentially their creativity. …"
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Main feature classes used to train the OCS algorithm for task-scheduling problems.
منشور في 2022الموضوعات: -
69
Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML
منشور في 2025"…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …"
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Presentation_1_Decreased Plasma Hydrogen Sulfide Level Is Associated With the Severity of Depression in Patients With Depressive Disorder.PDF
منشور في 2021"…Compared with healthy controls (1.02 ± 0.34 μmol/L), the plasma H<sub>2</sub>S level significantly decreased in patients with mild depression (0.84 ± 0.28 μmol/L), with moderate depression (0.62 ± 0.21μmol/L), and with severe depression (0.38 ± 0.18 μmol/L). …"
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74
Supp Tables 1 and 2 from Tropical mammal functional diversity increases with productivity but decreases with anthropogenic disturbance
منشور في 2021"…We use occupancy values derived from the camera trap data to calculate occupancy-weighted functional diversity and use Bayesian generalized linear regression to determine the effects of multiple predictors. …"
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75
TEAM Site Funct bi from Tropical mammal functional diversity increases with productivity but decreases with anthropogenic disturbance
منشور في 2021"…We use occupancy values derived from the camera trap data to calculate occupancy-weighted functional diversity and use Bayesian generalized linear regression to determine the effects of multiple predictors. …"
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76
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Image_1_Decrease in Serum Urate Level Is Associated With Loss of Visceral Fat in Male Gout Patients.tif
منشور في 2021"…By multiple regression model, ΔSU was identified to be a significant determinant variable of decrease in VFA (beta, 0.302; p = 0.001).…"
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Predicting drinking problems or use disorders in servers and bartenders (N = 1,001).
منشور في 2024الموضوعات: