Table 11 Values of some quality metrics obtained by applying our classification algorithm with the original Eros distance on testing data
From: Defining user spectra to classify Ethereum users based on their behavior
Metric | Value |
|---|---|
Accuracy | 0.75 |
Micro Average Precision | 0.74 |
Macro Average Precision | 0.62 |
Micro Average Recall | 0.74 |
Macro Average Recall | 0.63 |
Micro Average F1-Score | 0.76 |
Macro Average F1-Score | 0.76 |