Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Review on Rural Womens Entrepreneurship Using Machine Learning Models Subject The topic of the resource Machine learning model; MSME; Rural entrepreneurship; Women Description An account of the resource Rural womens entrepreneurship has contributed significantly to the countrys economy. Entrepreneurship rates have fluctuated in recent years, according to a variety of reasons including economic, social, and cultural influences. Therefore, machine learning models are used to assess the features to make better business decisions. In this research paper, papers from 2009 to 2022 were studied and found that machine learning models are being used to improve womens entrepreneurship. In this paper, nine machine learning models have been described in detail which include multiple regression, lasso regression, logistic regression, decision tree, Naive Bayes, clustering, classification, deep learning, artificial neural network, etc. In the study of all these models, it was found how accurately this model has been used in womens entrepreneurship work. It has been observed that by using different machine learning models with the data acquired from rural entrepreneurship, women entrepreneurs may use a new way of understanding the dynamics of rural entrepreneurship. Various machine learning models have been studied to improve rural development for women working in rural areas. Thus, we have proposed a comparative study of various machine learning models to predict entrepreneurship-based data. The findings of this study may be used to assess how rural women entrepreneurs may change the decisions made in several domains, such as making use of different economic policies and promoting the long-term viability of women entrepreneurs for the countrys economic growth. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. Creator An entity primarily responsible for making the resource Pareek S.; Bhatnagar V.; Poonia R.C.; Sharma S.; Samanta D. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-680 LNNS, pp. 375-395. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-2602-2_29" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-2602-2_29</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175971169&amp;doi=10.1007%2F978-981-99-2602-2_29&amp;partnerID=40&amp;md5=1070665800980cf1064aaf0319a406ae" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175971169&amp;doi=10.1007%2f978-981-99-2602-2_29&amp;partnerID=40&amp;md5=1070665800980cf1064aaf0319a406ae</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981992601-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pareek S., Department of Computer Applications, Manipal University Jaipur, Rajasthan, Jaipur, India; Bhatnagar V., Department of Computer Applications, Manipal University Jaipur, Rajasthan, Jaipur, India; Poonia R.C., Professor, Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Uttar Pradesh, Ghaziabad, India; Sharma S., Department of Computer Applications, Manipal University Jaipur, Rajasthan, Jaipur, India; Samanta D., Department of Computing Information Technologies, RIT Kosovo (A.U.K), Rochester Institute of Technology RIT Global Campus n.n., Germia Campus, Pristina, Kosovo, 10000