Table 3 Performances of the proposed methods in 2-classifier.

From: Convolution neural network with batch normalization and inception-residual modules for Android malware classification

Prediction method

Algorithm

Accuracy

Precision

Recall

F1-Score

Lashkari23

RF

–

0.86

0.88

–

Abuthawabeh24

RF

0.86

0.87

0.89

–

Taheri26

RF

–

0.95

0.95

–

Guo27

CNN

0.94

0.91

0.95

–

Feng28

CACNN

0.99

0.99

0.98

–

Our work

BIR-CNN

0.99

0.99

0.99

0.99

  1. Significant values are in [bold].