Evaluation Analysis of Integrity Risk Based on Hierarchical Bayesian Network Clustering
In view of the assessment characteristics of administrative law enforcement integrity risk and the problems existing in the existing assessment methods,an improved hierarchical Bayesian network clustering method was established.This method can also refine and predict the rules for special samples with a small number of examples,incomplete or even no at all.Based on the improved hierarchical bayesian and combined with the structural system and historical data,a integrity risk level evaluation model was constructed.And the prediction accuracy was showed to be increased by 32.03%with model verification.The prediction results of this model were accurate and reliable,and could be used to evaluate the integrity risk level of administrative law enforcement.This study had certain reference significance for the theory of integrity risk assessment of administrative law enforcement.
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