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Establishing an automatic credit history decision-making system aids the lending institution to handle the dangers, boost operational effectiveness and also follow regulators. In this paper, an empirical approach is considered debt threat evaluation utilizing logistic regression as well as neural network classification approach in compliance with Basel II criteria. Below, Basel II requirements are embraced to calculate the expected loss.
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