基于合群度-隶属度噪声检测及动态特征选择的改进AdaBoost算法

王友卫,凤丽洲

Improved AdaBoost algorithm using group degree and membership degree based noise detection and dynamic feature selection

You-wei WANG,Li-zhou FENG

表 2 不同噪声检测算法对应的F1均值（Fa）比较

Tab.2 Comparison of average F1 values (Fa) of different noise detection algorithms

数据集 Fa 文献[8] 文献[9] 文献[10] 文献[11] 本研究 Spambase 0.849 0.864 0.867 0.867 0.875 AD 0.952 0.953 0.955 0.951 0.964 KDD99 0.987 0.992 0.985 0.985 0.991 DrivFace 0.963 0.965 0.972 0.971 0.979 Arrhythmia 0.606 0.602 0.618 0.598 0.626 AntiVirus 0.988 0.991 0.992 0.986 0.991 Dermatology 0.959 0.965 0.976 0.964 0.981 Amazon 0.783 0.783 0.786 0.787 0.792