Machine learning processes vast data, detects patterns, improves predictive accuracy, reduces human bias, and excels in fraud detection for fairer and more precise credit assessments.
In credit scoring, machine learning outperforms traditional models by continuously learning, adapting, and analyzing complex interactions for more accurate risk predictions.
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