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Table 5 Prediction results of the random forest classifier using different combinations of features

From: Characterizing key agents in the cryptocurrency economy through blockchain transaction analysis

Groups of features

Accuracy

Macro Precision

Macro Recall

Macro F1

Volume

0.488

0.675

0.552

0.469

Temporal

0.804

0.767

0.728

0.730

Network size

0.813

0.752

0.737

0.737

Network structure

0.665

0.610

0.612

0.605

Temporal + Volume

0.844

0.827

0.813

0.814

Size + Volume

0.851

0.820

0.820

0.811

Size + Temporal

0.857

0.854

0.820

0.827

Size + Structure

0.848

0.816

0.787

0.789

Structure + Volume

0.790

0.759

0.752

0.749

Structure + Temporal

0.834

0.839

0.765

0.775

Size + Temporal + Volume

0.867

0.853

0.848

0.845

Structure + Temporal + Volume

0.872

0.867

0.833

0.841

Size + Structure + Volume

0.861

0.828

0.813

0.814

Size + Structure + Temporal

0.882

0.889

0.847

0.850

All groups of features

0.893

0.888

0.862

0.865