首页|Researchers’ Work from Bank for International Settlements Focuses on Machine Lea rning (How Do Machine Learning and Nontraditional Data Affect Credit Scoring? N ew Evidence From aChinese Fintech Firm)

Researchers’ Work from Bank for International Settlements Focuses on Machine Lea rning (How Do Machine Learning and Nontraditional Data Affect Credit Scoring? N ew Evidence From aChinese Fintech Firm)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromBasel, Switzerland, by NewsRx journa lists, research stated, “This paper compares the predictive powerof credit scor ing models based on machine learning techniques with that of traditional loss an d defaultmodels. Using proprietary transaction-level data from a leading fintec h company in China, we test theperformance of different models to predict losse s and defaults both in normal times and when the economyis subject to a shock.”

BaselSwitzerlandEuropeCyborgsEme rging TechnologiesMachine LearningBank for International Settlements

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.2)