Jurnal 2017
Abstract
In analyzing a credit sometimes a less accurate credit officer
in credit analysis, so that it can lead to increased bad debts.
Classification data mining algorithms are widely used to determine the
credit worthiness of one Naive Bayes classifier, NBC superior in
increasing the value of high accuracy but weak in the selection of
attributes. After testing Naive Bayes classifier algorithm the results
obtained is Naive Bayes classifier algorithm produces an accuracy of
89.33% and AUC values for 0.955
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