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Suppose we want to predict the probability of a new loan applicant defaulting. What model can we use when the historical credit status is only
Suppose we want to predict the probability of a new loan applicant defaulting. What model can we use when the historical credit status is only recorded in two categories: default or non-default? If the historical credit status is recorded more comprehensively with four categories: current (lancar), doubtiul (diragukan), under scrutiny (dalam pengawasan), and defaulted (macet), what model might be more suitable? Elaborate your answers
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