Isbn: 9789999319331 - Machine Learning Approaches on the Bankruptcy Modeling: Altman Z-score, Neural Net, and Catboost Classifier Models (15 results)
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This study includes Machine Learning (ML) approaches on the bankruptcy modeling. The Altman z-score model was selected as the subject of the study due to its widespread usage and extensive scientific validation, as well as its reputation as one of the most reliable tools for predicting bankruptcy. Typically, z-score models are evaluated in concert with other models or metrics. The Altman z-score remains a popular tool amongst investors, accountants, and stakeholders due to its versatility in application. The z-score model is especially useful due to its ease of use, compared to other predictive models. The models chosen for this study provided clear results for predicting a company's financial stability in two regions as bankrupt and non-bankrupt, making it easy to compare between companies.…
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Taschenbuch. Condition: Neu. Machine Learning Approaches on the Bankruptcy Modeling | Altman z-score, Neural Net, and CatBoost Classifier models | Murat Yazici | Taschenbuch | Englisch | 2024 | Eliva Press | EAN 9789999319331 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…
