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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Multi-level Prediction of Financial Distress of Indian Companies Using Machine Learning Subject The topic of the resource Financial distress; Machine learning; Modern models; Multi-level; Performance measures; Prediction Description An account of the resource Predicting Financial Distress (FD) and shielding companies from reaching that stage is vital, even indispensable for every business. FD, if not attended to on time, ultimately leads to bankruptcy. Prediction variables are essential to forecast the wreckage in the business; however, the prediction is successful when suitable models are used. This study aims to predict FD at three levels: from mild to severe, by applying a machine learning algorithm. The study identifies modern models using the machine learning approach for predicting multi-level FD and summarises the significance of modern models through machine learning technology, to sustain the future development of the economy. The modern models are free from rigid assumptions and have proved to be the best in the prediction of FD. The results show that FD prediction is important at multiple stages. The models performance will be high when the best features are selected using the Pearson Correlation and SFS Feature selection approach. Among the ten models used in the study, LightGBM Classifier shows the highest performance of 80.43% accuracy without feature selection. However, with Pearson Correlation Approach and SFS Feature Selection methods, the accuracy is 82.68% and 86.95% respectively. This study has major implications for the stakeholders of the company to take timely decisions on their investment and for the management as a yardstick to check the performance of the business. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Creator An entity primarily responsible for making the resource Fernandes R.L.; Tantia V. Source A related resource from which the described resource is derived Studies in Systems, Decision and Control, Vol-555, pp. 265-274. 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 2025-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-67890-5_25" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-67890-5_25</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210150952&amp;doi=10.1007%2F978-3-031-67890-5_25&amp;partnerID=40&amp;md5=eda7d05f977bb495219f6150c474fa16" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210150952&amp;doi=10.1007%2f978-3-031-67890-5_25&amp;partnerID=40&amp;md5=eda7d05f977bb495219f6150c474fa16</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21984182 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Fernandes R.L., Christ University, Hosur Road, Bangalore, 560029, India; Tantia V., Christ University, Hosur Road, Bangalore, 560029, India