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A new method to improve the prediction accuracy by applying NP-Umbrella algorithm to random forest, it leads to an 11% precision improvement when compared with random forest for classification of credit default.

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Improvement-of-Classification-in-Credit-Default

We have designed a new method to improve the prediction accuracy by applying NP-Umbrella algorithm to random forest, it leads to an 11% precision improvement when compared with random forest for classification of credit default.

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A new method to improve the prediction accuracy by applying NP-Umbrella algorithm to random forest, it leads to an 11% precision improvement when compared with random forest for classification of credit default.

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