Table 2 The impact of the threshold ε of classification decision function in the VCA method on the classification performance (with noise)
From: Improvement on the vanishing component analysis by grouping strategy
ε | 10−8 | 10−7 | 10−6 | 10−5 | 10−4 | 10−3 | 10−2 | 10−1 | 100 |
|---|---|---|---|---|---|---|---|---|---|
P | 0.88 | 0.86 | 0.75 | 0.75 | 0.75 | 0.74 | 0.78 | 0.77 | 0.72 |
R | 0.84 | 0.81 | 0.51 | 0.51 | 0.60 | 0.65 | 0.75 | 0.76 | 0.70 |
F1 | 0.85 | 0.83 | 0.60 | 0.60 | 0.66 | 0.71 | 0.76 | 0.76 | 0.71 |