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significantly improved » significantly increased (Expand Search)
significant forest » significant force (Expand Search), significant progress (Expand Search), significant interest (Expand Search)
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Showing 1 - 20 results of 21,915 for search '(( significantly improved decrease ) OR ( significant forest regression ))', query time: 0.64s Refine Results
  1. 1
    Results of random forest regression.

    Results of random forest regression. by Qing Chang (93814)

    Published 2025
    “…</p><p>Methods</p><p>Using data from the 2013, 2015, 2017, 2018, and 2021 waves of the China General Social Survey (CGSS), this study applies logistic regression models and Random Forest machine learning techniques to analyze the impact of education on women’s selection of hypogamy. …”
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  2. 2
    The variation trend of |BD| value with age: With the increase of age, the |BD| values decreased significantly (p<0.01).

    The variation trend of |BD| value with age: With the increase of age, the |BD| values decreased significantly (p<0.01). by Yunmeng Da (707943)

    Published 2024
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  3. 3
    Forest plot of multivariable regression coefficient.

    Forest plot of multivariable regression coefficient. by Kareem Sbaih (22492920)

    Published 2025
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  4. 4
    Significant variables in decreasing importance for varietal clustering based on Random forest method.

    Significant variables in decreasing importance for varietal clustering based on Random forest method. by Wilfried Chevalier (10521466)

    Published 2021
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  5. 5
    Forest plot showing the tobit regression coefficient.

    Forest plot showing the tobit regression coefficient. by Gwang Suk Kim (10147342)

    Published 2024
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  6. 6
    Brain regions with significantly decreased activations for the Raven task are shown in blue.

    Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

    Published 2025
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  7. 7
    Trend of TI values with age: The TI values decreased significantly with the increase of age, * p<0.01 vs other groups.

    Trend of TI values with age: The TI values decreased significantly with the increase of age, * p<0.01 vs other groups. by Yunmeng Da (707943)

    Published 2024
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  8. 8
    Significance test between the ASO-ANFIS and the benchmarked classifiers.

    Significance test between the ASO-ANFIS and the benchmarked classifiers. by Minh Hai Pham (8877815)

    Published 2020
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  9. 9
    Forest Plot of Reduced Logistic Regression Model.

    Forest Plot of Reduced Logistic Regression Model. by Skylar A. Martin (22075759)

    Published 2025
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  10. 10
    Summary of significant relationships from hierarchical regression modeling.

    Summary of significant relationships from hierarchical regression modeling. by Paul C. McKee (10431740)

    Published 2022
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  11. 11
    Forest plots of multiple logistic regression.

    Forest plots of multiple logistic regression. by Taihong Lv (19751385)

    Published 2024
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  12. 12
    Importance of the features.

    Importance of the features. by Zhi Jiang (269212)

    Published 2022
    Subjects:
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  13. 13
    Variable selection in the RF algorithm.

    Variable selection in the RF algorithm. by Zhi Jiang (269212)

    Published 2022
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  14. 14
    Forest plot from showing the significant estimates from logistic regression model for help seeking in early stage.

    Forest plot from showing the significant estimates from logistic regression model for help seeking in early stage. by Tanvir Ahmed (224986)

    Published 2025
    “…<p>Forest plot from showing the significant estimates from logistic regression model for help seeking in early stage.…”
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  15. 15
    Forest plot presenting the significant results of the multivariate logistic regression analysis for major complications and new-onset seizures.

    Forest plot presenting the significant results of the multivariate logistic regression analysis for major complications and new-onset seizures. by Jingguo Yang (13400490)

    Published 2025
    “…<p>Forest plot presenting the significant results of the multivariate logistic regression analysis for major complications and new-onset seizures.…”
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  16. 16
    Random Forest regression model with decision trees.

    Random Forest regression model with decision trees. by Shafiqah Azman (9517343)

    Published 2025
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  17. 17
    Geniposide (Gen) significantly decreased the content of Hyp in bleomycin-induced PF mice’s lung tissue.

    Geniposide (Gen) significantly decreased the content of Hyp in bleomycin-induced PF mice’s lung tissue. by Jian-Bin Yin (19556105)

    Published 2024
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  18. 18
    Regression statistical summary of the AGB/AGC model.

    Regression statistical summary of the AGB/AGC model. by Anbaw Tigabu (20685490)

    Published 2025
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  19. 19
    Precision-recall curves for random forest and logistic regression.

    Precision-recall curves for random forest and logistic regression. by Justin Wang (422925)

    Published 2022
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  20. 20
    Significant decrease of the coiled-coil score in the double proline-substituted CAHS3 mutant.

    Significant decrease of the coiled-coil score in the double proline-substituted CAHS3 mutant. by Akihiro Tanaka (342394)

    Published 2022
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