Hyperparameters and tuning strategies for random forest

• A Crystal Ball for Great Power Plays? Predicting Council Vetoes Through Machine Learning

  2025 Springer eBooks book-chapter Social Sciences Global Peace and Security Dynamics

  0

  citations
• Steel Scrap Yield Prediction in Basic Oxygen Steelmaking Based on Random Forest and Neural Networks

  2024 steel research international article Engineering Iron and Steelmaking Processes Open access

  10

  citations
• Letter to the editor: The use of fast approximate random forests using subsampling (rfsrc.fast) does not support the conclusion on sample sizes needed for random survival forests

  2024 Statistics in Medicine letter Mathematics Statistical Methods and Inference Open access

  0

  citations
• Understanding overfitting in random forest for probability estimation: a visualization and simulation study

  2024 Diagnostic and Prognostic Research article Mathematics Statistical Methods and Inference Open access

  149

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• Identifying important individual‐ and country‐level predictors of conspiracy theorizing: A machine learning analysis

  2023 European Journal of Social Psychology article Social Sciences Misinformation and Its Impacts Open access

  24

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• Global relationships in tree functional traits

  2022 Nature Communications article Environmental Science Ecology and Vegetation Dynamics Studies Open access

  146

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• Sensor Screening Methodology for Virtually Sensing Transmission Input Loads of a Wind Turbine Using Machine Learning Techniques and Drivetrain Simulations

  2022 Sensors article Engineering Wind Energy Research and Development Open access

  7

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• Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic

  2022 Patterns article Social Sciences COVID-19 Prevention and Impact Open access

  24

  citations

8 results