Table 3 Performance analysis with existing models.

From: Sparse attention with residual pyramidal depthwise separable convolutional based malware detection with optimization mechanism

Models

Accuracy (%)

Precision (%)

Recall (%)

F1-score (%)

MSE

RMSE

MAE

MAPE

Proposed

98.06

97.99

97.05

96.08

0.08

0.27

0.21

1.18

DSC

95.24

95.46

94.23

92.07

0.10

0.3

0.54

1.32

BI-GRU

93.45

92.34

92.35

90.28

0.14

0.32

0.76

1.54

ResNet

90.96

90.04

89.08

87.45

0.18

0.34

0.98

1.89

CNN

89.64

88.67

88.04

85.67

0.20

0.39

1.05

2.08

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