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Table 3 Results of nonembedding algorithms of single feature

From: Aparecium: understanding and detecting scam behaviors on Ethereum via biased random walk

Method

Precision

Recall

F1-score

In out degree percentage only

0.248

0.820

0.381

Suspicious degree only

0.608

0.928

0.114

Transaction total amount only

0.275

0.748

0.402

Transaction frequency only

0.143

0.725

0.239

Latest timestamp only

0.106

0.769

0.186

Naughty attribute only

0.168

0.561

0.258

In out degree percentage+Suspicious degree

0.264

0.798

0.397

Transaction total amount+Transaction frequency

0.351

0.851

0.497

Latest timestamp+Naughty attribute

0.301

0.863

0.446

All

0.619

0.876

0.725

  1. Bold values indicate the highest performance method