一种零件综合质量评定方法研究
李梦,尹宗军

Research on comprehensive quality assessment method for parts
Meng LI,Zong-jun YIN
表2 基于不同算法的零件综合质量分类结果比较 (%)
Table 2 Comparison of part comprehensive quality classification results based on different algorithms
指标PCA+KNN算法K均值聚类算法异常点检测算法决策树
准确率94.29~97.4193.3192.7787.43~96.37
召回率92.53~95.2393.7893.6291.98~95.28
特异度92.12~95.9292.7594.3491.43~94.87
精准率93.45~95.7694.1793.4292.33~94.61
F1分数92.34~94.2292.8393.7393.37~95.05