Table 4 Effectiveness comparison of FSVNet by different optimization strategy

From: Deep learning-assisted single-atom detection of copper ions by combining click chemistry and fast scan voltammetry

Model

F1-Score

Accuracy

Precision

Recall

Base

0.75

0.64

0.65

0.88

Base + average pooling

0.83

0.75

0.71

0.94

Base + max pooling

0.91

0.89

0.89

1.0

Base + max pooling + dropout

1.0

1.0

1.0

1.0

Back to article page