首页|New Machine Learning Study Findings Recently Were Reported by Researchers at Complutense University Madrid (Profit-sensitive Machine Learning Classification Wit h Explanations In Credit Risk: the Case of Small Businesses In Peer-to-peer Lend ing)
New Machine Learning Study Findings Recently Were Reported by Researchers at Complutense University Madrid (Profit-sensitive Machine Learning Classification Wit h Explanations In Credit Risk: the Case of Small Businesses In Peer-to-peer Lend ing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Madrid, Spain, by NewsRx editors, research stated, “We propose a comprehensiveprofit -sensiti ve approach for credit risk modeling in P2P lending for small businesses, one of the mostfinancially complex segments. We go beyond traditional and cost-sensit ive approaches by including thefinancial costs and incomes through profits and introducing the profit information at three points of themodeling process: the estimation of the learning function of the classification algorithm (XGBoost in ourcase), the hyperparameter optimization, and the decision function.”
MadridSpainEuropeCyborgsEmerging TechnologiesMachine LearningComplutense University Madrid
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