Table 5 Results of detection with different classification models
From: Aparecium: understanding and detecting scam behaviors on Ethereum via biased random walk
Method | Precision | Recall | F1-score | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Logistic Regression | 0.651 | 0.854 | 0.738 | |||||||||
Naive Bayes | 0.703 | 0.821 | 0.757 | |||||||||
SVM | 0.649 | 0.921 | 0.762 | |||||||||
Isolate Forest | 0.853 | 0.884 | 0.868 | |||||||||
Random Forest | 0.977 | 0.957 | 0.967 | |||||||||