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- W2340359064 abstract "In this research TAN Bayes, Markov Bayes and Markov-FS data mining methods were used to predict andcompare the performance of these three Bayes networks and to identify the inputs or predictors that differentiate “good credit” from “bad credit”. The results indicated the Markov model is slightly better at predicting correctly; however, the Markov-FS model is only a couple of percentage points behind the Markov model. This may mean it would be better to use the Markov-FS model since it uses fewer inputs to calculate its results, thereby saving on data collection and entry time and processing time." @default.
- W2340359064 created "2016-06-24" @default.
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- W2340359064 date "2011-01-01" @default.
- W2340359064 modified "2023-09-27" @default.
- W2340359064 title "Modeling Consumer Credit Scoring Through Bayes Network" @default.
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