Robotics & Machine Learning Daily News2024,Issue(Nov.1) :142-143.

Department of Finance Reports Findings in Machine Learning (Enhancing transparen cy and fairness in automated credit decisions: an explainable novel hybrid machi ne learning approach)

Robotics & Machine Learning Daily News2024,Issue(Nov.1) :142-143.

Department of Finance Reports Findings in Machine Learning (Enhancing transparen cy and fairness in automated credit decisions: an explainable novel hybrid machi ne learning approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Glasgow, Unite d Kingdom, by NewsRx journalists, research stated, “This paper uses a generalise d stacking method to introduce a novel hybrid model that combines a one-dimensio nal convolutional neural network 1DCNN with extreme gradient boosting XGBoost. W e compared the predictive accuracies of the proposed hybrid architecture with th ree conventional algorithms-1DCNN, XGBoost and logistic regression (LR) using a dataset of over twenty thousand peer-to-peer (P2P) consumer credit observations. ”

Key words

Glasgow/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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