{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T20:17:06Z","timestamp":1776111426265,"version":"3.50.1"},"reference-count":79,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2024,7,28]],"date-time":"2024-07-28T00:00:00Z","timestamp":1722124800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"2023 Jiangsu University Philosophy and Social Science Research Major Project","award":["2023SJZD027"],"award-info":[{"award-number":["2023SJZD027"]}]},{"name":"2023 Jiangsu University Philosophy and Social Science Research Major Project","award":["72171124"],"award-info":[{"award-number":["72171124"]}]},{"name":"2023 Jiangsu University Philosophy and Social Science Research Major Project","award":["71771126"],"award-info":[{"award-number":["71771126"]}]},{"name":"National Natural Science Funds of China","award":["2023SJZD027"],"award-info":[{"award-number":["2023SJZD027"]}]},{"name":"National Natural Science Funds of China","award":["72171124"],"award-info":[{"award-number":["72171124"]}]},{"name":"National Natural Science Funds of China","award":["71771126"],"award-info":[{"award-number":["71771126"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>The accurate evaluation of green innovation efficiency is a critical prerequisite for enterprises to achieve sustainable development goals and improve environmental performance and economic efficiency. This paper evaluates the green innovation efficiency of 72 new-energy enterprises by using a hybrid method of Data Envelopment Analysis (DEA) and a random forest model. The non-parametric DEA model is combined with the parametric SFA model to analyze the real green innovation efficiency on the basis of removing environmental factors and random factors. Then, the random forest model based on a nonlinear relationship is used to evaluate factors impacting green innovation efficiency. This paper proposes a comprehensive evaluation method designed to assess the green innovation efficiency of new-energy enterprises. By applying this method, companies can gain a comprehensive understanding of the current performance in green innovation, facilitating informed decision-making and accelerating sustainable development.<\/jats:p>","DOI":"10.3390\/sym16080960","type":"journal-article","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T15:26:53Z","timestamp":1722526013000},"page":"960","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["A Hybrid Data Envelopment Analysis\u2013Random Forest Methodology for Evaluating Green Innovation Efficiency in an Asymmetric Environment"],"prefix":"10.3390","volume":"16","author":[{"given":"Limei","family":"Chen","sequence":"first","affiliation":[{"name":"School of Management, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"},{"name":"Key Research Base of Philosophy and Social Sciences in Jiangsu, Information Industry Integration Innovation and Emergency Management Research Center, Nanjing 210023, China"}]},{"given":"Xiaohan","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Management, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"}]},{"given":"Yao","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Management, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"}]},{"given":"Weidong","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Management, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"},{"name":"Key Research Base of Philosophy and Social Sciences in Jiangsu, Information Industry Integration Innovation and Emergency Management Research Center, Nanjing 210023, China"}]},{"given":"Gongzhi","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Management, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/0377-2217(78)90138-8","article-title":"Measuring the efficiency of decision-making units","volume":"2","author":"Charnes","year":"1978","journal-title":"Eur. J. Oper. Res."},{"key":"ref_2","first-page":"40","article-title":"Application of preferred DEA in the evaluation of relative efficiency in scientific research institutions","volume":"8","author":"Guan","year":"2008","journal-title":"Sci. Sci. Technol. Manag."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1108\/02635570710734271","article-title":"Supply chain performance measurement system using DEA modeling","volume":"107","author":"Wong","year":"2007","journal-title":"Ind. Manag. Data Syst."},{"key":"ref_4","first-page":"52","article-title":"Application of data envelopment analysis (DEA) to study the performance efficiency of the scheduled commercial banks of India","volume":"3","author":"Mariappan","year":"2013","journal-title":"Int. J. Mark. Technol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1078","DOI":"10.1287\/mnsc.30.9.1078","article-title":"Some models for estimating technical and scale efficiency in data envelopment analysis","volume":"30","author":"Banker","year":"1984","journal-title":"Manag. Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1023\/A:1013548723393","article-title":"Accounting for environmental effects and statistical noise in data envelopment analysis","volume":"17","author":"Fried","year":"2020","journal-title":"J. Prod. Anal."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"101417","DOI":"10.1016\/j.rineng.2023.101417","article-title":"Application of the novel three-stage DEA model to evaluate total-factor energy efficiency: A case study based on 30 provinces and 8 comprehensive economic zones of China","volume":"20","author":"Tang","year":"2023","journal-title":"Results Eng."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1016\/S0377-2217(99)00407-5","article-title":"A slacks-based measure of efficiency in data envelopment analysis","volume":"130","author":"Tone","year":"2001","journal-title":"Eur. J. Oper. Res."},{"key":"ref_9","first-page":"3450471","article-title":"Research on Green Innovation Efficiency of Listed Chinese Energy Companies Based on Triple Bottom Line","volume":"1","author":"Song","year":"2020","journal-title":"Complexity"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1080\/09537320802292651","article-title":"Strategic niche management and sustainable innovation journeys: Theory, findings, research agenda, and policy","volume":"20","author":"Schot","year":"2008","journal-title":"Technol. Anal. Strateg. Manag."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jclepro.2012.07.007","article-title":"Business models for sustainable innovation: State-of-the-art and steps towards a research agenda","volume":"45","author":"Boons","year":"2013","journal-title":"J. Clean. Prod."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1002\/sd.309","article-title":"Dimensions of environmentally sustainable innovation: The structure of ecological innovation concepts","volume":"15","year":"2007","journal-title":"Sustain. Dev."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Olsson, P., and Galaz, V. (2012). Social-ecological innovation and transformation. Social Innovation, Palgrave Macmillan.","DOI":"10.1057\/9780230367098_10"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1111\/j.1467-9310.2011.00672.x","article-title":"Green innovation in technology and innovation management\u2014An exploratory literature review","volume":"42","author":"Schiederig","year":"2012","journal-title":"R&D Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1007\/s10551-018-3946-7","article-title":"Sustainability orientation, green supplier involvement, and green innovation performance: Evidence from diversifying green entrants","volume":"161","author":"Cheng","year":"2020","journal-title":"J. Bus. Ethics"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/j.techfore.2017.12.016","article-title":"Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices","volume":"144","author":"Singh","year":"2019","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.resconrec.2019.01.023","article-title":"Green innovation and firm performance: Evidence from listed companies in China","volume":"144","author":"Zhang","year":"2019","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.resconrec.2018.09.031","article-title":"Pursuing green growth in technology firms through the connections between environmental innovation and sustainable business performance: Does service capability matter?","volume":"141","author":"Fernando","year":"2019","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/s10551-006-9025-5","article-title":"The Influence of green innovation performance on corporate advantage in Taiwan","volume":"67","author":"Chen","year":"2006","journal-title":"J. Bus. Ethics"},{"key":"ref_20","first-page":"40","article-title":"Construction of green innovation efficiency improvement model in China\u2019s heavily polluting industries","volume":"28","author":"Wu","year":"2018","journal-title":"Chin. J. Popul. Resour. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/S0921-8009(99)00112-3","article-title":"Redefining innovation\u2014Eco-innovation research and the contribution from ecological economics","volume":"32","author":"Rennings","year":"2000","journal-title":"Ecol. Econ."},{"key":"ref_22","first-page":"323","article-title":"Explaining green innovation: Ten years after Porter\u2019s Win-Win Proposition: How to study the effects of regulation on corporate environmental innovation?","volume":"39","author":"Bernauer","year":"2007","journal-title":"Soc. Sci. Electron. Publ."},{"key":"ref_23","first-page":"12","article-title":"Several basic issues in green innovation research","volume":"4","author":"Zhang","year":"2013","journal-title":"China Sci. Technol. Forum"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1016\/j.techfore.2016.04.019","article-title":"Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach","volume":"112","author":"Wang","year":"2016","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Gao, Y., Tsai, S.B., Xue, X., Ren, T., Du, X., Chen, Q., and Wang, J. (2018). An empirical study on green innovation efficiency in the green institutional environment. Sustainability, 10.","DOI":"10.3390\/su10030724"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1166","DOI":"10.1080\/09537325.2018.1457784","article-title":"Evaluation of the green technology innovation efficiency of China\u2019s manufacturing industries: DEA window analysis with ideal window width","volume":"30","author":"Lin","year":"2018","journal-title":"Technol. Anal. Strateg. Manag."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1016\/j.resourpol.2018.09.015","article-title":"Natural resource dependence and economic growth: A topsis\/dea analysis of innovation efficiency","volume":"59","author":"Namazi","year":"2018","journal-title":"Resour. Policy"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"919","DOI":"10.1016\/j.jclepro.2017.02.174","article-title":"Estimation of innovation\u2019s green performance: A range-adjusted measure approach to assess the unified efficiency of China\u2019s manufacturing industry","volume":"149","author":"Wang","year":"2017","journal-title":"J. Clean. Prod."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/s10037-017-0112-0","article-title":"The innovation efficiency of German regions\u2014A shared-input DEA approach","volume":"38","author":"Broekel","year":"2018","journal-title":"Rev. Reg. Res."},{"key":"ref_30","first-page":"98","article-title":"The study on impact of institutions on innovation efficiency in regional innovation systems","volume":"2","author":"Guan","year":"2003","journal-title":"Stud. Sci. Sci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.sbspro.2012.09.1152","article-title":"Grey-entropy analytical network process for green innovation practices","volume":"57","author":"Tseng","year":"2012","journal-title":"Procedia Soc. Behav. Sci."},{"key":"ref_32","first-page":"96","article-title":"Spatial-Temporal Differences and Responses of Coupling and Coordination between Green Innovation Efficiency and Ecological Governance Performance: A Case Study of 108 Cities in the Yangtze River Economic Belt","volume":"31","author":"Xiao","year":"2022","journal-title":"World Reg. Stud."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"121836","DOI":"10.1016\/j.techfore.2022.121836","article-title":"Evaluation of green technology innovation efficiency in a regional context: A dynamic network slacks-based measuring approach","volume":"182","author":"Wang","year":"2022","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"103293","DOI":"10.1016\/j.eti.2023.103293","article-title":"Theoretical framework for assessing construction enterprise green innovation efficiency and influencing factors: Evidence from China","volume":"32","author":"Li","year":"2023","journal-title":"Environ. Technol. Innov."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"136453","DOI":"10.1016\/j.jclepro.2023.136453","article-title":"Carbon neutrality and green technology innovation efficiency in Chinese textile industry","volume":"395","author":"Xu","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"105408","DOI":"10.1016\/j.eneco.2021.105408","article-title":"The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach","volume":"101","author":"Xiao","year":"2021","journal-title":"Energy Econ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"133789","DOI":"10.1016\/j.jclepro.2022.133789","article-title":"Impact of environmental regulation intensity on green innovation efficiency in the Yellow River Basin, China","volume":"373","author":"Xu","year":"2022","journal-title":"J. Clean. Prod."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"E21079","DOI":"10.1016\/j.heliyon.2023.e21079","article-title":"Do pilot free trade zones promote green innovation efficiency in enterprises?\u2014Evidence from listed companies in China","volume":"9","author":"Wang","year":"2023","journal-title":"Heliyon"},{"key":"ref_39","first-page":"137","article-title":"Research on Green Technology Innovation Efficiency of Advanced Manufacturing Industry in the Yangtze River Delta Region","volume":"49","author":"Tian","year":"2021","journal-title":"J. Anhui Normal Univ."},{"key":"ref_40","first-page":"95","article-title":"Key Influencing Factors of Technological Innovation Efficiency Improvement in China\u2019s Smart Manufacturing Enterprises: An Analysis Based on the Three-Stage DEA-Tobit Model","volume":"43","author":"Zhang","year":"2023","journal-title":"Sci. Technol. Manag. Res."},{"key":"ref_41","unstructured":"Ma, W.B., and Zhu, H. (2024). Measurement of Innovation Efficiency and Influencing Factors of Green and Low-carbon Enterprises: Based on the Three-Stage DEA and Tobit Model. Soft Sci., 1\u201312."},{"key":"ref_42","first-page":"184","article-title":"Industrial Agglomeration, Environmental Regulation, and Green Innovation Efficiency","volume":"38","author":"Wang","year":"2022","journal-title":"Stat. Decis."},{"key":"ref_43","first-page":"7","article-title":"Measurement of Innovation Value Chain Efficiency in High-tech Industries from the Perspective of Industry Heterogeneity: An Empirical Analysis Based on the Three-stage DEA Model with SFA Correction","volume":"37","author":"Kang","year":"2017","journal-title":"Sci. Technol. Manag. Res."},{"key":"ref_44","first-page":"74","article-title":"Evaluation of Technological Innovation Capability of China\u2019s Manufacturing Industry from the Perspective of Innovation-Driven Development","volume":"39","author":"Wu","year":"2020","journal-title":"J. Ind. Technol. Econ."},{"key":"ref_45","first-page":"64","article-title":"Research on the Evaluation of Green Technology Innovation Capability in Anhui Province","volume":"7","author":"Tao","year":"2018","journal-title":"J. Bengbu Coll."},{"key":"ref_46","first-page":"2072","article-title":"Evaluation of Green Transformation Efficiency and Influencing Factors of Manufacturing Industries in China\u2019s Three Major River Basins","volume":"32","author":"Tian","year":"2023","journal-title":"Resour. Environ. Yangtze Basin"},{"key":"ref_47","first-page":"28","article-title":"Regional Differences and Driving Factors of Green Innovation Efficiency in China\u2019s Industrial Sector","volume":"34","author":"Lv","year":"2020","journal-title":"East China Econ. Manag."},{"key":"ref_48","first-page":"38","article-title":"Environmental Regulation, Government Support, and Green Technology Innovation Efficiency: An Empirical Study Based on Large-scale Industrial Enterprises from 2009 to 2017","volume":"37","author":"Li","year":"2020","journal-title":"J. Jianghan Univ. (Soc. Sci. Ed.)"},{"key":"ref_49","first-page":"65","article-title":"Calculation of Green Technology Innovation Efficiency in China\u2019s Manufacturing Industry Based on DEA-Malmquist Method","volume":"2","author":"Wang","year":"2023","journal-title":"Sci. Technol. Sq."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1407","DOI":"10.1016\/j.respol.2015.05.004","article-title":"National innovation systems and the intermediary role of industry associations in building institutional capacities for innovation in developing countries: A critical review of the literature","volume":"44","author":"Watkins","year":"2015","journal-title":"Res. Policy."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.technovation.2016.06.001","article-title":"Do government grants promote innovation efficiency in China\u2019s high-tech industries?","volume":"57\u201358","author":"Hong","year":"2016","journal-title":"Technovation"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"e23809","DOI":"10.1016\/j.heliyon.2023.e23809","article-title":"Environmental regulation, technology density, and green technology innovation efficiency","volume":"10","author":"Liu","year":"2024","journal-title":"Heliyon"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"10504","DOI":"10.1166\/jctn.2016.6189","article-title":"Study on stage impacts of factor price distortion on chinese technology innovation based on data mining","volume":"13","author":"Ji","year":"2016","journal-title":"Comput. Theor. Nanosci."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"101679","DOI":"10.1016\/j.uclim.2023.101679","article-title":"The dynamic role of green technological innovation, financial development and trade openness on urban environmental degradation in China: Fresh insights from carbon efficiency","volume":"52","author":"Ozkan","year":"2023","journal-title":"Urban Clim."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"136862","DOI":"10.1016\/j.jclepro.2023.136862","article-title":"How do external and internal factors drive green innovation practices under the influence of big data analytics capability: Evidence from China","volume":"404","author":"Chen","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"100414","DOI":"10.1016\/j.jik.2023.100415","article-title":"The effects of enterprises\u2019 attention to digital economy on innovation and cost control: Evidence from A-stock market of China","volume":"8","author":"Qinqin","year":"2023","journal-title":"J. Innov. Knowl."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"100034","DOI":"10.1016\/j.igd.2023.100034","article-title":"Study on the impact of business environment on private enterprises\u2019 technological innovation from the perspective of transaction cost","volume":"2","author":"Wang","year":"2023","journal-title":"Innov. Green Dev."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"101868","DOI":"10.1016\/j.techsoc.2022.101868","article-title":"Do corporate social responsibility practices contribute to green innovation? The mediating role of green dynamic capability","volume":"68","author":"Yuan","year":"2022","journal-title":"Technol. Soc."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"138236","DOI":"10.1016\/j.jclepro.2023.138236","article-title":"Developing the interconnection between green employee behavior, tax avoidance, green capability, and sustainable performance of SMEs through corporate social responsibility","volume":"419","author":"Khan","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_60","first-page":"51","article-title":"Analysis of Technological Innovation Efficiency and Influencing Factors in China\u2019s Pharmaceutical Manufacturing Industry from the Perspective of Two Stage Innovation Value Chain","volume":"33","author":"Hong","year":"2013","journal-title":"J. Northwestern Polytech. Univ. (Soc. Sci. Ed.)"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1682","DOI":"10.1016\/j.egypro.2011.03.287","article-title":"Comprehensive evaluation research on circular economic performance of eco-industrial parks","volume":"5","author":"Wenbo","year":"2011","journal-title":"Energy Procedia"},{"key":"ref_62","first-page":"93","article-title":"Bilateral effects of environmental regulation on green innovation","volume":"30","author":"Kang","year":"2020","journal-title":"China Popul. Resour. Environ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1016\/j.ijpe.2011.01.020","article-title":"Customer, Regulatory, and Competitive Pressure as Drivers of Environmental Innovation","volume":"131","author":"Yalabik","year":"2011","journal-title":"Int. J. Prod. Econ."},{"key":"ref_64","first-page":"127","article-title":"Does OFDI improve the efficiency of industrial green innovation in China: An empirical study based on the effect of agglomeration economy","volume":"11","author":"Gong","year":"2017","journal-title":"J. Int. Trade"},{"key":"ref_65","first-page":"184","article-title":"The threshold effect of shadow economy on green innovation efficiency","volume":"39","author":"Kuang","year":"2019","journal-title":"Econ. Geogr."},{"key":"ref_66","unstructured":"Ho, T.K. (1995, January 14\u201316). Random decision forests. Proceedings of the 3rd International Conference on Document Analysis and Recognition, Montreal, QC, Canada."},{"key":"ref_67","first-page":"199","article-title":"Random Forests Machine Learning","volume":"2","author":"Breiman","year":"2001","journal-title":"J. Clin. Microbiol."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.isprsjprs.2015.03.014","article-title":"Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin","volume":"15","author":"Mellor","year":"2015","journal-title":"J. Photogramm. Remote Sens."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"105931","DOI":"10.1016\/j.envsoft.2023.105931","article-title":"Automatic classification of land cover from LUCAS in-situ landscape photos using semantic segmentation and a Random Forest model","volume":"172","author":"See","year":"2024","journal-title":"Environ. Model. Softw."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"123771","DOI":"10.1016\/j.envpol.2024.123771","article-title":"Deep optimization of water quality index and positive matrix factorization models for water quality evaluation and pollution source apportionment using a random forest model","volume":"347","author":"Zhang","year":"2024","journal-title":"Environ. Pollut."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"e24713","DOI":"10.1016\/j.heliyon.2024.e24713","article-title":"Identifying important microbial biomarkers for the diagnosis of colon cancer using a random forest approach","volume":"10","author":"Cao","year":"2024","journal-title":"Heliyon"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"11379","DOI":"10.1016\/j.asoc.2024.111379","article-title":"Integrative prognostic modeling for breast cancer: Unveiling optimal multimodal combinations using graph convolutional networks and calibrated random forest","volume":"154","author":"Palmal","year":"2024","journal-title":"Appl. Soft Comput."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Alladio, E., Trapani, F., Castellino, L., Massano, M., Di Corcia, D., Salomone, A., Berrino, E., Ponzone, R., Marchi\u00f2, C., and Sapino, A. (2024). Enhancing breast cancer screening with urinary biomarkers and Random Forest supervised classification: A comprehensive investigation. J. Pharm. Biomed. Anal., 244.","DOI":"10.1016\/j.jpba.2024.116113"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1016\/j.eswa.2005.04.043","article-title":"Predicting customer retention and profitability by using random forests and regression forests techniques","volume":"29","year":"2005","journal-title":"Expert Syst. Appl."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"5445","DOI":"10.1016\/j.eswa.2008.06.121","article-title":"Customer churn prediction using improved balanced random forests","volume":"36","author":"Xie","year":"2009","journal-title":"Expert Syst. Appl."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"100130","DOI":"10.1016\/j.joitmc.2023.100130","article-title":"Predicting financial performance for listed companies in Thailand during the transition period: A class-based approach using logistic regression and random forest algorithm","volume":"9","author":"Supsermpol","year":"2023","journal-title":"J. Open Innov. Technol. Mark. Complex."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"100180","DOI":"10.1016\/j.joitmc.2023.100180","article-title":"Forecasting stock prices of fintech companies of India using random forest with high-frequency data","volume":"10","author":"Meher","year":"2024","journal-title":"J. Open Innov. Technol. Mark. Complex."},{"key":"ref_78","first-page":"1208","article-title":"Prediction of prognosis and survival of patients with gastric cancer by a weighted improved random forest model: An application of machine learning in medicine","volume":"18","author":"Xu","year":"2022","journal-title":"Arch. Med. Sci."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"122725","DOI":"10.1016\/j.apenergy.2024.122725","article-title":"Subsidies for investing in energy efficiency measures: Applying a random forest model for unbalanced samples","volume":"359","author":"Rey","year":"2024","journal-title":"Appl. Energy"}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/16\/8\/960\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T15:25:22Z","timestamp":1760109922000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/16\/8\/960"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,28]]},"references-count":79,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2024,8]]}},"alternative-id":["sym16080960"],"URL":"https:\/\/doi.org\/10.3390\/sym16080960","relation":{},"ISSN":["2073-8994"],"issn-type":[{"value":"2073-8994","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,28]]}}}