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Insolvenzprognosen und Ratings sind wichtige Aufgaben der Finanzbranche und dienen der Kreditwürdigkeitsprüfung von Unternehmen. Eine Möglichkeit dieses Aufgabenfeld anzugehen, ist maschinelles Lernen. Dabei werden Vorhersagemodelle aufgrund von Beispieldaten aufgestellt. Methoden aus diesem...
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This paper evaluates different methods for nowcasting country-level poverty rates, including methods that apply … methods are evaluated by withholding measured poverty rates and determining how accurately the methods predict the held … 1,000+ variables. This GDP-based approach outperforms all models that predict poverty rates directly, even when the last …
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This paper evaluates different methods for nowcasting country-level poverty rates, including methods that apply … methods are evaluated by withholding measured poverty rates and determining how accurately the methods predict the held … on 1,000+ variables. This GDP-based approach outperforms all models that predict poverty rates directly, even when the …
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The prevalence of energy poverty as a major challenge in numerous countries, the escalating energy crisis that … energy poverty schemes, enabling the accurate prediction of energy vulnerable households via objective, publicly available … algorithms, most of our analysis is performed using a Random Forest classifier. Our approach to explore energy poverty beyond …
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