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The random forest algorithm for statistical learning

Citations

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  1. Xiaxuan He & Qifeng Yuan & Yinghong Qin & Junwen Lu & Gang Li, 2024. "Analysis of Surface Urban Heat Island in the Guangzhou-Foshan Metropolitan Area Based on Local Climate Zones," Land, MDPI, vol. 13(10), pages 1-34, October.
  2. Gang Wang, 2024. "Disaster relief supply chain network planning under uncertainty," Annals of Operations Research, Springer, vol. 338(2), pages 1127-1156, July.
  3. Gerard J. van den Berg & Sarah Bernhard & Gesine Stephan & Arne Uhlendorff, 2024. "Investigating the Impact of Integration Agreements on Labor Market Outcomes for Welfare Recipients: A Randomized Controlled Trial," Working Papers 2024-12, Center for Research in Economics and Statistics.
  4. Murat Aslan & Onder Ozgur, 2024. "Financial dollarization and its effects on inflation and output in Turkey: a machine learning approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(6), pages 5777-5804, December.
  5. Indrawan Nugrahanto & Hariyanto Gunawan & Hsing-Yu Chen, 2024. "Innovative Approaches to Sustainable Computer Numeric Control Machining: A Machine Learning Perspective on Energy Efficiency," Sustainability, MDPI, vol. 16(9), pages 1-22, April.
  6. Becker, Sascha O. & Voth, Hans-Joachim, 2023. "From the Death of God to the Rise of Hitler," CAGE Online Working Paper Series 688, Competitive Advantage in the Global Economy (CAGE).
  7. Wietelman, Derek & Wichman, Casey & Brent, Daniel A., 2025. "Conservation and Distributional Consequences of Pricing Scarce Water During Droughts," RFF Working Paper Series 25-07, Resources for the Future.
  8. Jin, Yangsoo, 2025. "Distinctive impacts of ESG pillars on corporate financial performance: A random forest analysis of Korean listed firms," Finance Research Letters, Elsevier, vol. 71(C).
  9. Yuanxiu Wang, 2024. "Mutual-Energy Inner Product Optimization Method for Constructing Feature Coordinates and Image Classification in Machine Learning," Mathematics, MDPI, vol. 12(23), pages 1-32, December.
  10. Virginia Negri & Alessandro Mingotti & Roberto Tinarelli & Lorenzo Peretto, 2023. "Comparison of Algorithms for the AI-Based Fault Diagnostic of Cable Joints in MV Networks," Energies, MDPI, vol. 16(1), pages 1-20, January.
  11. Maria A. F. Silva Dias & Yania Molina Souto & Bruno Biazeto & Enzo Todesco & Jose A. Zuñiga Mora & Dylana Vargas Navarro & Melvin Pérez Chinchilla & Carlos Madrigal Araya & Dayanna Arce Fernández & Be, 2024. "Reduction of Wind Speed Forecast Error in Costa Rica Tejona Wind Farm with Artificial Intelligence," Energies, MDPI, vol. 17(22), pages 1-12, November.
  12. Lishan Zhang & Han Wu & Tengfei Duan & Hanxiang Du, 2025. "Automatic Deductive Coding in Discourse Analysis: An Application of Large Language Models in Learning Analytics," SAGE Open, , vol. 15(4), pages 21582440251, October.
  13. Özer Depren & Mustafa Tevfik Kartal & Serpil Kılıç Depren, 2021. "Recent innovation in benchmark rates (BMR): evidence from influential factors on Turkish Lira Overnight Reference Interest Rate with machine learning algorithms," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-20, December.
  14. Xue, Shaobo & Ma, Bo & Wang, Chenguang & Li, Zhanbin, 2023. "Identifying key landscape pattern indices influencing the NPP: A case study of the upper and middle reaches of the Yellow River," Ecological Modelling, Elsevier, vol. 484(C).
  15. Julien Champagne & Émilien Gouin-Bonenfant, 2022. "Monetary Policy, Credit Constraints and SME Employment," Staff Working Papers 22-49, Bank of Canada.
  16. Cihan Çılgın & Hadi Gökçen, 2025. "A Hybrid Machine Learning Model Architecture with Clustering Analysis and Stacking Ensemble for Real Estate Price Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 127-178, July.
  17. Tomasz Rymarczyk & Konrad Niderla & Edward Kozłowski & Krzysztof Król & Joanna Maria Wyrwisz & Sylwia Skrzypek-Ahmed & Piotr Gołąbek, 2021. "Logistic Regression with Wave Preprocessing to Solve Inverse Problem in Industrial Tomography for Technological Process Control," Energies, MDPI, vol. 14(23), pages 1-21, December.
  18. Chen Xiang & Nur Aulia Bt Rosni & Norafida Ab Ghafar, 2025. "A Landscape Narrative Model for Visitor Satisfaction Prediction in the Living Preservation of Urban Historic Parks: A Machine-Learning Approach," Sustainability, MDPI, vol. 17(12), pages 1-33, June.
  19. Wang, Feipeng & Wong, Wing-Keung & Wang, Zheng & Albasher, Gadah & Alsultan, Nouf & Fatemah, Ambreen, 2023. "Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience in resource-rich regions," Resources Policy, Elsevier, vol. 85(PA).
  20. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024. "ddml: Double/debiased machine learning in Stata," Stata Journal, StataCorp LLC, vol. 24(1), pages 3-45, March.
  21. Seungmin Lee & Christopher B. Barrett & John F. Hoddinott, 2024. "Food security dynamics in the United States, 2001–2017," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(5), pages 1595-1618, October.
  22. Hillebrecht, Michael & Klonner, Stefan & Pacere, Noraogo A., 2020. "Dynamic Properties of Poverty Targeting," Working Papers 0696, University of Heidelberg, Department of Economics.
  23. Arslan, Ömer & Fiskin, Remzi, 2026. "Understanding the impact of ballast water management deficiencies on ship detentions: A hybrid predictive approach," Reliability Engineering and System Safety, Elsevier, vol. 267(PA).
  24. Behr,Daniela Monika & Chen,Lixue & Goel,Ankita & Haider,Khondoker Tanveer & Sandeep Singh & Zaman,Asad, 2023. "Estimating House Prices in Emerging Markets and Developing Economies : A Big Data Approach," Policy Research Working Paper Series 10301, The World Bank.
  25. Junlong Zhang & Youbin He & Yuan Zhang & Weifeng Li & Junjie Zhang, 2022. "Well-Logging-Based Lithology Classification Using Machine Learning Methods for High-Quality Reservoir Identification: A Case Study of Baikouquan Formation in Mahu Area of Junggar Basin, NW China," Energies, MDPI, vol. 15(10), pages 1-15, May.
  26. Pawel Olszewski & Leszek Gil & Natalia Rak & Tomasz Wolowiec & Michal Jasienski, 2024. "Construction of Regression Models Predicting Lead Times and Classification Models," European Research Studies Journal, European Research Studies Journal, vol. 0(Special A), pages 179-189.
  27. Merike Kukk & Jaanika Meriküll & Tairi Rõõm, 2023. "The Gender Wealth Gap in Europe: Application of Machine Learning to Predict Individual‐level Wealth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(2), pages 289-317, June.
  28. Zhennan Wu, 2022. "Using Machine Learning Approach to Evaluate the Excessive Financialization Risks of Trading Enterprises," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1607-1625, April.
  29. Fan Yang & Yanan Qiao & Yong Qi & Junge Bo & Xiao Wang, 2025. "BACS: blockchain and AutoML-based technology for efficient credit scoring classification," Annals of Operations Research, Springer, vol. 345(2), pages 703-723, February.
  30. Gordeev, Stepan & Steinbach, Sandro, 2024. "Determinants of PTA design: Insights from machine learning," International Economics, Elsevier, vol. 178(C).
  31. Muhammed-Fatih Kaya & Mareike Schoop, 2025. "The Impact of Information Load on Predicting Success in Electronic Negotiations," Group Decision and Negotiation, Springer, vol. 34(3), pages 487-521, June.
  32. İbrahim Özmen & Şerife Özşahin, 2023. "Effects of global energy and price fluctuations on Turkey's inflation: new evidence," Economic Change and Restructuring, Springer, vol. 56(4), pages 2695-2728, August.
  33. Jia-Qi, Liu & Yun-Wen, Feng & Da, Teng & Jun-Yu, Chen & Cheng, Lu, 2023. "Operational reliability evaluation and analysis framework of civil aircraft complex system based on intelligent extremum machine learning model," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
  34. Fong, Tze Ying & Huang, Yuk Feng & Chin, Ren Jie & Koo, Chai Hoon, 2025. "Advancing evapotranspiration estimation with remote sensing and artificial intelligence – A review," Agricultural Water Management, Elsevier, vol. 322(C).
  35. Wassila Tercha & Sid Ahmed Tadjer & Fathia Chekired & Laurent Canale, 2024. "Machine Learning-Based Forecasting of Temperature and Solar Irradiance for Photovoltaic Systems," Energies, MDPI, vol. 17(5), pages 1-20, February.
  36. Tymoteusz Miller & Grzegorz Mikiciuk & Anna Kisiel & Małgorzata Mikiciuk & Dominika Paliwoda & Lidia Sas-Paszt & Danuta Cembrowska-Lech & Adrianna Krzemińska & Agnieszka Kozioł & Adam Brysiewicz, 2023. "Machine Learning Approaches for Forecasting the Best Microbial Strains to Alleviate Drought Impact in Agriculture," Agriculture, MDPI, vol. 13(8), pages 1-16, August.
  37. Jisang Yu & Sunghun Lim, 2025. "Understanding inequality in U.S. farm subsidies using large‐scale administrative data," American Journal of Agricultural Economics, John Wiley & Sons, vol. 107(3), pages 752-774, May.
  38. Marjan Petreski, 2026. "Pegs, Floats, and Forests: A Machine Learning Revisit of Exchange Rate Regimes and Growth in Transition Economies," Papers 2605.17391, arXiv.org.
  39. Sylvanus Gaku & Jennifer Ifft & Brady Brewer & Luke Byers, 2026. "The Financial Status and Local Credit Market Conditions of U.S. Farms Engaged in Multiple Borrowing," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 48(1), pages 266-277, March.
  40. MD. Nahid Hasan & Kazi Shadman Sakib & Taghrid Tahani Preeti & Jeza Allohibi & Abdulmajeed Atiah Alharbi & Jia Uddin, 2024. "OLF-ML: An Offensive Language Framework for Detection, Categorization, and Offense Target Identification Using Text Processing and Machine Learning Algorithms," Mathematics, MDPI, vol. 12(13), pages 1-18, July.
  41. Forbes, Kevin F., 2023. "Demand for grid-supplied electricity in the presence of distributed solar energy resources: Evidence from New York City," Utilities Policy, Elsevier, vol. 80(C).
  42. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer, 2023. "pystacked: Stacking generalization and machine learning in Stata," Stata Journal, StataCorp LLC, vol. 23(4), pages 909-931, December.
  43. Minglu Qin & Haibin Xu & Jiantuan Huang, 2024. "Investigating the Impact of Streetscape and Land Surface Temperature on Cycling Behavior," Sustainability, MDPI, vol. 16(5), pages 1-14, February.
  44. Cheng, Haotian & Ng'ombe, John N. & Choi, Yejun & Kalinda, Thomson H. & Zheng, Shi, 2025. "Understanding the drivers of smallholder dairy cooperative participation in developing countries: Evidence from rural Zambia," Agricultural Systems, Elsevier, vol. 224(C).
  45. Pecorari, Natalia & Cuesta Leiva, Jose Antonio, 2026. "Female Labor Force Participation and Gender Norms : A Machine Learning Analysis of the Arab Republic of Egypt," Policy Research Working Paper Series 11372, The World Bank.
  46. Natalia Pecorari & Jose Cuesta, 2024. "Citizen Participation and Political Trust in Latin America and the Caribbean: A Machine Learning Approach," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 36(5), pages 1227-1252, October.
  47. van den Berg, Gerard J. & Stephan, Gesine & Uhlendorff, Arne, 2025. "Do Early Active Labor Market Policies Improve Outcomes of Not-Yet-Unemployed Workers? Findings from a Randomized Field Experiment," IZA Discussion Papers 17612, IZA Network @ LISER.
  48. Jialing Zhang & Zhanxu Chen & An Wang & Zhenzhang Li & Wei Wan, 2023. "Intelligent Personalized Lighting Control System for Residents," Sustainability, MDPI, vol. 15(21), pages 1-12, October.
  49. Sebastián Rodríguez & Pablo Cabrera-Barona, 2024. "A machine learning-based assessment of subjective quality of life," Journal of Computational Social Science, Springer, vol. 7(1), pages 451-467, April.
  50. Birzoim, Ammoon, 2025. "Optimizing Personalized Advertising in Decentralized Ecosystems: A Blockchain and Random Forest-Based Approach," OSF Preprints rvby3_v1, Center for Open Science.
  51. Mahmut Bağcı & Pınar Kaya Soylu, 2026. "The Optimal Threshold Selection for High-Frequency Pairs Trading via Supervised Machine Learning Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 67(4), pages 2399-2427, April.
  52. Young Jae Kim, 2021. "Machine Learning Models for Sarcopenia Identification Based on Radiomic Features of Muscles in Computed Tomography," IJERPH, MDPI, vol. 18(16), pages 1-14, August.
  53. Cong Feng & Qi Guo & Qian Liu & Feihong Jian, 2025. "An Optimized Dynamic Benefit Evaluation Method for Pumped Storage Projects in the Context of the “Dual Carbon” Goal," Energies, MDPI, vol. 18(11), pages 1-27, May.
  54. Adam Kula & Albert Smalcerz & Maciej Sajkowski & Zygmunt Kamiński, 2021. "Analysis of Office Rooms Energy Consumption Data in Respect to Meteorological and Direct Sun Exposure Conditions," Energies, MDPI, vol. 14(22), pages 1-20, November.
  55. Varun Tiwari & Kelly Thorp & Mirela G Tulbure & Joshua Gray & Mohammad Kamruzzaman & Timothy J Krupnik & A Sankarasubramanian & Marcelo Ardon, 2024. "Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-22, December.
  56. Lamperti, Fabio, 2024. "Unlocking machine learning for social sciences: The case for identifying Industry 4.0 adoption across business restructuring events," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
  57. Mehmet Ali Köseoglu, 2025. "Integrating Sustainable Development Goals With Entrepreneurial Ecosystems: A Comprehensive Analysis Across Income Levels," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(6), pages 8949-8968, December.
  58. Yu, Min & Niu, Dongxiao & Gao, Tian & Wang, Keke & Sun, Lijie & Li, Mingyu & Xu, Xiaomin, 2023. "A novel framework for ultra-short-term interval wind power prediction based on RF-WOA-VMD and BiGRU optimized by the attention mechanism," Energy, Elsevier, vol. 269(C).
  59. Emmanuel A. Onsay & Jason Alinsunurin & Jomar F. Rabajante, 2025. "Optimizing machine learning algorithms for multidimensional poverty prediction in the Philippines," SN Business & Economics, Springer, vol. 5(10), pages 1-40, October.
  60. Kristína Okasová & Michal Géci & Kristián Košťál, 2026. "Predicting Arbitrage Occurrences With Machine Learning and Improved Decision Threshold Level in Live‐Trading Crypto Environments," International Journal of Network Management, John Wiley & Sons, vol. 36(1), January.
  61. Ernesto Dal Bo & Frederico Finan & Olle Folke & Torsten Persson & Johanna Rickne, 2023. "Economic and Social Outsiders but Political Insiders: Sweden’s Populist Radical Right," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(2), pages 675-706.
  62. Wang, Weiwen & Shen, Yang & Qiao, Jiajun & Wang, Ying & Batala, Lochan Kumar & Xiao, Jie, 2025. "The impact of urban-rural residents’ life quality gap on the cultivated land transfer," Land Use Policy, Elsevier, vol. 148(C).
  63. Benjamin Miranda Tabak & Débora H. Cardoso & Cristiano C. Silva, 2025. "Assessing the Drivers of Financial Vulnerability and Fraud in Brazil: The Critical Role of Financial Planning over Literacy," Sustainability, MDPI, vol. 17(20), pages 1-33, October.
  64. Ivan Brandić & Alan Antonović & Lato Pezo & Božidar Matin & Tajana Krička & Vanja Jurišić & Karlo Špelić & Mislav Kontek & Juraj Kukuruzović & Mateja Grubor & Ana Matin, 2023. "Energy Potentials of Agricultural Biomass and the Possibility of Modelling Using RFR and SVM Models," Energies, MDPI, vol. 16(2), pages 1-10, January.
  65. David Simon & Aaron Sojourner & Jon Pedersen & Heidi Ombisa Skallet, 2024. "Financial Incentives for Adoption and Kin Guardianship Improve Achievement for Foster Children," Upjohn Working Papers 24-401, W.E. Upjohn Institute for Employment Research.
  66. Xin Wang & Xiwen Bao & Ziao Ge & Jiayao Xi & Yinghui Zhao, 2024. "Identification and Redevelopment of Inefficient Residential Landuse in Urban Areas: A Case Study of Ring Expressway Area in Harbin City of China," Land, MDPI, vol. 13(8), pages 1-24, August.
  67. Raafat M Munshi, 2024. "Novel ensemble learning approach with SVM-imputed ADASYN features for enhanced cervical cancer prediction," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-20, January.
  68. Xiangzhao Yan & Wei Yang & Zaohong Pu & Qilong Zhang & Yutong Chen & Jiaqi Chen & Weiqi Xiang & Hongyu Chen & Yuyang Cheng & Yanwei Zhao, 2025. "Responses of Typical Riparian Vegetation to Annual Variation of River Flow in a Semi-Arid Climate Region: Case Study of China’s Xiliao River," Land, MDPI, vol. 14(1), pages 1-19, January.
  69. Wang, Sicheng & Noland, Robert B., 2021. "What is the elasticity of sharing a ridesourcing trip?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 284-305.
  70. Zakharov, Alexei & Chapkovski, Philipp, 2025. "The effect of war on redistribution preferences," Journal of Public Economics, Elsevier, vol. 241(C).
  71. Pecorari,Natalia Gisel & Cuesta Leiva,Jose Antonio, 2023. "Citizen Participation and Political Trust in Latin America and the Caribbean : AMachine Learning Approach," Policy Research Working Paper Series 10335, The World Bank.
  72. Akbar, Muhammad Umar & Mirchi, Ali & Arshad, Arfan & Alian, Sara & Mehata, Mukesh & Taghvaeian, Saleh & Khodkar, Kasra & Kettner, Jacob & Datta, Sumon & Wagner, Kevin, 2025. "Multi-model ensemble mapping of irrigated areas using remote sensing, machine learning, and ground truth data," Agricultural Water Management, Elsevier, vol. 312(C).
  73. Almudena Sanjurjo-de-No & Ana María Pérez-Zuriaga & Alfredo García, 2023. "Factors Influencing the Pedestrian Injury Severity of Micromobility Crashes," Sustainability, MDPI, vol. 15(19), pages 1-17, September.
  74. Kang, Lili & Zhao, Guangchuan, 2022. "Financial support for unmet need for personal assistance with daily activities: Implications from China's long-term care insurance pilots," Finance Research Letters, Elsevier, vol. 45(C).
  75. Heber Hernández & Martín Alberto Díaz-Viera & Elisabete Alberdi & Aitor Goti, 2025. "Comparison of Trivariate Copula-Based Conditional Quantile Regression Versus Machine Learning Methods for Estimating Copper Recovery," Mathematics, MDPI, vol. 13(4), pages 1-22, February.
  76. Marie-Pierre Dargnies & Rustamdjan Hakimov & Dorothea Kübler, 2025. "Behavioral Measures Improve AI Hiring: A Field Experiment," Rationality and Competition Discussion Paper Series 532, CRC TRR 190 Rationality and Competition.
  77. Uttam Khatri & Ji-In Kim & Goo-Rak Kwon, 2023. "Genetics Information with Functional Brain Networks for Dementia Classification," Mathematics, MDPI, vol. 11(6), pages 1-20, March.
  78. Hong Pan & Jie Yang & Yang Yu & Yuan Zheng & Xiaonan Zheng & Chenyang Hang, 2024. "Intelligent Low-Consumption Optimization Strategies: Economic Operation of Hydropower Stations Based on Improved LSTM and Random Forest Machine Learning Algorithm," Mathematics, MDPI, vol. 12(9), pages 1-20, April.
  79. Jianghong Xu & Wei Lu & Weixin Wang, 2024. "From “fragile smallholders” to “resilient smallholders”: measuring rural household resilience in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
  80. Ahmet Faruk Aysan & Bekir Sait Ciftler & Ibrahim Musa Unal, 2024. "Predictive Power of Random Forests in Analyzing Risk Management in Islamic Banking," JRFM, MDPI, vol. 17(3), pages 1-19, March.
  81. Dela Rosa & Berna Elya & Muhammad Hanafi & Alfi Khatib & Eka Budiarto & Syamsu Nur & Muhammad Imam Surya, 2025. "Investigation of alpha-glucosidase inhibition activity of Artabotrys sumatranus leaf extract using metabolomics, machine learning and molecular docking analysis," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-32, January.
  82. Sakiru Adebola Solarin & Muhammed Sehid Gorus & Onder Ozgur, 2024. "Modelling the economic effect of inbound birth tourism: a random forest algorithm approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(5), pages 4223-4240, October.
  83. Zhu, Xinyi & Shen, Xiaoyan & Chen, Kailiang & Zhang, Zeqing, 2024. "Research on the prediction and influencing factors of heavy duty truck fuel consumption based on LightGBM," Energy, Elsevier, vol. 296(C).
  84. Ghaemi, Ali & Safari, Amin & Quteishat, Anas & Younis, Mahmoud A., 2024. "A stacking-based fault forecasting study for power transmission lines under different weather conditions," Energy, Elsevier, vol. 306(C).
  85. Radu Andreea-Oana & Ionescu Sergiu-Alexandru, 2025. "Comparison of Supervised Learning Algorithms for Fake News Detection," Proceedings of the International Conference on Business Excellence, Paradigm, vol. 19(1), pages 2139-2148.
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