Table 3 Sample training data from breast cancer dataset.

From: MobNas ensembled model for breast cancer prediction

Hyperparameter

Value

Input image size

224 × 224

Batch size

16

Optimizer

Adam

Learning rate

0.0001

Loss function

Categorical cross-entropy

Number of epochs

8

Weight initialization

ImageNet

Data augmentation

Rescaling, Shear, Zoom, Horizontal Flip

Preprocessing

Normalization [0,1]

Evaluation metric

Accuracy, MAE, MCC