Table 9 Performance metrics for each class using the swintransformerV2Base_window8

From: FestivalNet: a deep learning architecture to classify the Indian heritage art-rangoli

Class

Precision

Recall

F1-Score

0

0.577

0.545

0.561

1

0.508

0.550

0.528

2

0.673

0.524

0.589

3

0.782

0.871

0.824

4

0.600

0.643

0.621

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