Table 17 Values of some quality metrics obtained by applying our classification algorithm with our version of the Eros distance
From: Defining user spectra to classify Ethereum users based on their behavior
Metric | Value |
|---|---|
Accuracy | 0.91 |
Micro Average Precision | 0.91 |
Macro Average Precision | 0.90 |
Micro Average Recall | 0.91 |
Macro Average Recall | 0.89 |
Micro Average F1-Score | 0.91 |
Macro Average F1-Score | 0.89 |