Table 6 Classification results for the presented model with Nadam 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

99.3

100

99.5

97.3

1.0

Malignant

98.8

99.7

99.6

97.7

1.0

Normal

99.4

100

99.4

98.1

1.0

Average

99.15

99.7

99.5

97.7

1.0

After pre-processing

Split: (10 Folds)

Benign

Malignant

Normal

Average

98.7

99.1

98.1

98.4

0.99

98.5

98.8

98.8

98.1

0.99

99.1

99.5

98.2

98.7

1.0

98.7

99.1

98.3

98.4

0.99