基于知识对监督分类的结果做后处理，准确地提取了居民地和防护林草类型，并对分类结果进行了精度评估。
After supervised classification we extracted residential area and the grass of shelter belt based on knowledge discovery, finally we got the accuracy assessment reports.
论文研究了三种朴素贝叶斯分类器信用评估模型的精度。
This paper investigates the credit scoring accuracy of three naive Bayesian classifier models.
应用推荐