Table 5 Classification results for the presented model with Adam optimizer.

From: A novel approach for breast cancer detection using a Nesterov accelerated adam optimizer with an attention mechanism

CNN

Class

Model performance (%)

Accuracy

Sensitivity

Specificity

Precision

AUC

After pre-processing

Split: (80:20)

Benign

98.3

98.8

98.3

97.1

0.99

Malignant

98.8

98.6

97.2

96.3

0.99

Normal

99.1

99.1

98.6

97.2

1.0

Average

98.7

98.8

98.03

96.86

0.99

After pre-processing

Split: (10 Folds)

Benign

98.2

98.6

98.3

97.3

1.0

Malignant

98.7

98.7

96.9

96.6

0.99

Normal

99.4

99.1

98.4

97.2

1.0

Average

98.7

98.8

97.86

97.03

0.996