Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data

Muchlinski, David, Siroky, David, He, Jingrui, Kocher, Matthew·2016·Political Analysis
DOI 10.1093/pan/mpv024

Cited by (233)

Items 201–233 of 233

  1. Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms
    Jérôme Darbon, Gabriel P. Langlois · 2021 · arXiv (Cornell University)
  2. Chinese Comma Disambiguation in Math Word Problems Using SMOTE and Random Forests
    Jingxiu Huang, Qingtang Liu, Yunxiang Zheng, Linjing Wu · 2021 · AI
  3. Домети предикције у стратешким студијама: значај експертског знања и алата вештачке интелигенције
    Nenad Stekić · 2020 · Универзитет у Београду, Факултет безбедности ; Институт за међународну политику и привреду ; Институт за стратегијска истраживања eBooks
  4. Taking time seriously when evaluating predictions in Binary-Time-Series-Cross-Section-Data
    Gökhan Ciflikli, Nils W. Metternich, Sigrid Weber, Kit Rickard · 2019
  5. Hyperparameter Tuning in Random Forest and Neural Network Classification: An Application to Predict Health Expenditure Per Capita
    Gulcin Caliskan, Songül Çınaroğlu · 2022 · Algorithms for intelligent systems
  6. Analyzing the risk of mass shootings in the United States
    Xue Lei · 2022
  7. A review of survival and machine learning models for real time data
    M. Ramakrishnan, M. Manikandan, Dr.T. Jagathesan · 2024 · AIP conference proceedings
  8. Machine Learning for Survival Analysis
    Alejandro Flores · 2024 · Oxford University Press eBooks
  9. “I Wear Combat Boots on My Tongue”: Quantitative Discourse Analysis of Stance Taking and Evaluation in The Radical Right Media
    Chadi Ben Youssef, Antón de la Fuente · 2025 · Journal of Research Design and Statistics in Linguistics and Communication Science
  10. Anticipating humanitarian emergencies with a high risk of conflict-induced displacement
    Nicolas Rost, Michele Ronco · 2025 · International Journal of Forecasting
  11. Conflict
    Dominic Rohner · 2025 · SSRN Electronic Journal
  12. Do food safety certifications improve the safety of our food system? evidence from the U.S. Meat, Poultry, and egg industry
    Lijiao Hu, Yuqing Zheng · 2025 · Food Policy
  13. Evaluating machine learning approaches for host prediction using H3 influenza genomic data
    Hoc Tran, O. Berke, Nicole Ricker, Zvonimir Poljak · 2025 · PLoS ONE
  14. Not-so-average after all: Individual vs. aggregate effects in substantive research
    Marius Radean, Andreas Beger · 2025 · Journal of Peace Research
  15. Endogenous conflict and the limits of predictive optimization
    Thomas Chadefaux, Thomas Schincariol · 2025 · EPJ Data Science
  16. Artificial intelligence applications in electrospinning of biocompatible polymers
    Mojtaba Nasirinezhad, Sara Etminanrezaeieh, Saba Abbasi Sedaghat · 2025 · Elsevier eBooks
  17. International relations measurement
    Brian K. Muzas · 2025 · Elsevier eBooks
  18. Advanced Machine Learning Strategies for Effective Rare Event Classification: A Comparative Study
    Olcay Alpay · 2025 · Cumhuriyet Science Journal
  19. Analyzing geopolitical stability: Using GNN to predict military alliances based on military capability, resource distribution, and geographical adjacency
    Oshadhi K. Herath, E.H. Thamila Abeywickrama, Uvin Eksith Senadheera, Praveen R. Arachchilage · 2025 · SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI)
  20. Modeling social unrest: The geographical influence on social unrest prediction
    Shine Bedi, Ashok K. Samal, Stephen Scott · 2026 · Expert Systems with Applications
  21. La régulation juridique de l'intelligence artificielle au sein de la justice : une étude comparative entre le droit de l'Union européenne et les lois fédérales des Etats-Unis
    Siavash Shahrjerdi · 2022
  22. Four essays in political economy : civil wars, democratic regression, taiwanese economic and political preferences
    Erwan Le Quellec · 2023
  23. Economic Activity, Transboundary Water Resources, and Violent Conflict in the Middle East and North Africa
    Eleftherıos Gıovanıs, Öznur Özdamar · 2026 · Review of Middle East Economics and Finance
  24. Merits Positions and Supreme Court Voting on Stays and Injunctions
    Greg Goelzhauser · 2026 · Journal of Law and Courts
  25. Synchronization Collapse Risk: A Framework for Political Instability as Adaptive Failure
    Michael Baldassarre · 2026 · SSRN Electronic Journal
  26. Regional Security Risk Assessment Using Uppsala Incident Data: Integrating Spatial Diffusion Models with Adaptive Machine Learning for Strategic Intelligence
    Shiyuan Xu, Junwei Yuan, Menghui Si · 2025 · International Conference on Information Education and Artificial Intelligence (ICIEAI)
  27. Towards the Ranking of the Importance of Revolutionary Destabilization Factors in Asian and African Countries Using Machine Learning Methods
    Ivan Yu. Chernomorchenko, Медведев Илья Александрович, Andrey Korotayev · 2026 · Cross-Cultural Research
  28. Modeling Delayed Mortality of Fire-Damaged Pines in Korea
    J. Bae, Ji-Hyun Kim, Yugyeong Jung, Sanghoon Chung · 2026 · Forests
  29. Key Pillars of Media Freedom: The Strength of Institutions and Thresholds in European Democracies
    Soňa Chovanová Supeková, Beáta Stehlí­ková, Beáta Stehlí­ková, Michala Lopatková · 2026 · Media Literacy and Academic Research
  30. Performance comparison of logistic regression, random forest, and boosting algorithms on housing loan eligibility prediction
    Cornelius Mellino Sarungu · 2026 · AIP conference proceedings
  31. An AI-integrated framework for sustainable conflict mitigation and policy innovation
    Apinya Tissamana, Babatunde Oluwaseun Ajayi, Mayowa Emmanuel Bamisaye, Wendell Katerenchuk, Tamoor Aziz, Olawande Emmanuel Ajayi, Issara Sereewatthanawut · 2026 · Environmental and Sustainability Indicators
  32. Classification of High-Fatality Conflict Countries by Fragility Metrics
    Çağlar AKAR · 2026 · İnsan ve Toplum Bilimleri Araştırmaları Dergisi
  33. Mathematical Modeling of Active Hostilities Intensity Based on Macropolitical Threat Assessment
    M. Kryshtanovych, В. Ковальчук, V. Onyshchenko, T. Stukalin, V. Motornyy, O. Mykhailov · 2026 · Mathematical Modeling and Computing