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
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王友卫,凤丽洲
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Improved AdaBoost algorithm using group degree and membership degree based noise detection and dynamic feature selection
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You-wei WANG,Li-zhou FENG
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表 5 不同特征选择方法的F1均值的增幅均值比较 |
Tab.5 Comparison of average increments of average F1 value of different feature selection methods |
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数据集 | Fai | IGW vs IG | CHIW vs CHI | MRMRW vs MRMR | CMFSW vs CMFS | Spambase | −0.065 | 0.007 | 0.004 | 0.002 | AD | 0.004 | 0.028 | 0.012 | 0.002 | KDD99 | 0.061 | 0.082 | 0.000 | 0.078 | DrivFace | 0.020 | 0.118 | 0.012 | 0.059 | Arrhythmia | 0.061 | 0.036 | 0.009 | 0.010 | AntiVirus | −0.002 | 0.024 | 0.002 | 0.011 | Dermatology | 0.077 | 0.314 | 0.023 | 0.015 | Amazon | 0.073 | 0.029 | 0.034 | 0.067 | All datasets | 0.028 | 0.079 | 0.012 | 0.030 |
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