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  1. 1
    Process Variable Importance Analysis by Use of Random Forests in a Shapley Regression Framework
    by Chris Aldrich
    Published 2020-05-01
    Subjects: “...variable importance...”
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    Article
  2. 2
    Seminal Quality Prediction Using Clustering-Based Decision Forests
    by Hong Wang, Qingsong Xu, Lifeng Zhou
    Published 2014-08-01
    Subjects: “...variable importance...”
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  3. 3
    Retrieval of Leaf Area Index Using Sentinel-2 Imagery in A Mixed Mediterranean Forest Area
    Subjects: “...variable importance...”
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  4. 4
    Discriminant analysis for repeated measures data: a review
    by Lisa Lix, Tolulope Sajobi
    Published 2010-09-01
    Subjects: “...variable importance...”
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    Article
  5. 5
    NeuralNetTools: Visualization and Analysis Tools for Neural Networks
    by Marcus W. Beck
    Published 2018-07-01
    Subjects: “...variable importance...”
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    Article
  6. 6
    A Combined Random Forest and OBIA Classification Scheme for Mapping Smallholder Agriculture at Different Nomenclature Levels Using Multisource Data (Simulated Sentinel-2 Time Series, VHRS and DEM)
    Subjects: “...variable importance...”
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    Article
  7. 7
    Predicting national-scale tile drainage discharge in Denmark using machine learning algorithms
    Subjects: “...Variable importance...”
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  8. 8
    Combination of Landsat 8 OLI and Sentinel-1 SAR Time-Series Data for Mapping Paddy Fields in Parts of West and Central Java Provinces, Indonesia
    Subjects: “...variable importance...”
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    Article
  9. 9
    Assessment of Business Interruption of Flood-Affected Companies Using Random Forests
    Subjects: “...variable importance...”
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    Article
  10. 10
    Partial dependence through stratification
    by Terence Parr, James D. Wilson
    Published 2021-12-01
    Subjects: “...Variable importance...”
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    Article
  11. 11
    Inference and Prediction Diverge in Biomedicine
    by Danilo Bzdok, Denis Engemann, Bertrand Thirion
    Published 2020-11-01
    Subjects: “...variable importance...”
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    Article
  12. 12
    Forest Fire Probability Mapping in Eastern Serbia: Logistic Regression versus Random Forest Method
    Subjects: “...variable importance...”
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  13. 13
    Evaluating existing manually constructed natural landscape classification with a machine learning-based approach
    Subjects: “...variable importance...”
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    Article
  14. 14
    Brain Tumor Segmentation Based on Random Forest
    Subjects: “...variable importance...”
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  15. 15
    Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution
    Subjects: “...random forests / variable importance / Gini importance / variable selection bias...”
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  16. 16
    Comparing Prediction Performance for Crash Injury Severity Among Various Machine Learning and Statistical Methods
    by Jian Zhang, Zhibin Li, Ziyuan Pu, Chengcheng Xu
    Published 2018-01-01
    Subjects: “...variable importance...”
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    Article
  17. 17
    Linking Agricultural Index Insurance with Factors That Influence Maize Yield in Rain-Fed Smallholder Farming Systems
    Subjects: “...variable importance...”
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    Article
  18. 18
    Wildfire Susceptibility Assessment in Southern China: A Comparison of Multiple Methods
    by Yinxue Cao, Ming Wang, Kai Liu
    Published 2017-06-01
    Subjects: “...Variable importance rank...”
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    Article
  19. 19
    Distribution and Driving Factors of Forest Swamp Conversions in a Cold Temperate Region
    Subjects: “...variable importance measure...”
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  20. 20
    Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process
    Subjects: “...Variable importance...”
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    Article
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