Why "accuracy = metrics.BinaryAccuracy()" is used?

[Optomizer90]

[xavysp]

Hi sorry for my late response. As you can see in many DL models there is not accuracy in the training stage, it could be great use a metric for the accuracy. This BinaryAcuracy() is not needed, you can comment it, and the result will be the same.

[Optomizer90]

Hi, no issues.

Thank you for the answer.

Since this is classification problem with highly imbalanced data, Evaluating the model using F1 score will be more appropriate.

Wanted to know your comments on it? Any code updation (tf2) is possible?

Thank you.

[xavysp]

Hi, no issues.

Thank you for the answer.

Since this is classification problem with highly imbalanced data, Evaluating the model using F1 score will be more appropriate.

Wanted to know your comments on it? Any code updation (tf2) is possible?

Thank you.

Right, I'll implement it. You'll see how it work

[Optomizer90]

Right, I'll implement it. You'll see how it work

Thank you