Confusion Matrix, ROC curve, Precision, Recall and Accuracy in TensorFlow - Full Stack Deep Learning

Accuracy tends to be the number one performance metric, we think of, when building Binary Classification models. In this course, we shall look at other metrics like Precision and Recall which may even be better alternatives to the accuracy.
We also treat confusion matrices and ROC plots in this tutorial.
This video is part of this playlist: • Full Stack Deep Learni...
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[@shahidkamal8318]

Can you please share the notebook to read the full code .

[@12-miftahuzzuhan85]

It's good explanation, I have sent request access. Please

[@neuralearn]

Done!

[@NandhaKumar-nd9cw]

Thanks for sharing the file

[@neuralearn]

You're welcome :)

[@shahidkamal8318]

How to plot confusion matrix graphically instead of array format

[@shahidkamal8318]

Don’t we need to calculate precision , recall , sensitivity, specificity on test set that is from model.predict instead of model.fit ?

[@QuratUl-Ain-ym5pw]

that's a great video to learn about confusion matrix and other metrics. Kindly allow access to view this notebook on google colab. I have sent the request to you.

[@neuralearn]

Done!

[@QuratUl-Ain-ym5pw]

@@neuralearn thanks a lot :)

[@salmatumpa6657]

Thank you for the video. Kindly allow access to view this notebook on google colab. I have sent the request to you.

[@neuralearn]

Done!

[@studywithganishqa4480]

PLZ SEND THE COLAB FILE IF POS

[@rahmahermes3149]

hello can you grant me access to the code I have sent a request

[@neuralearn]

Hello my dear Rahma, please check your mail

[@HarshitShlok]

kindly grant me the access of google collab

[@neuralearn]

Done!

[@agungwahyudi-ti9zd]

Thank you for the video. Kindly allow access to view this notebook on google colab. I have sent the request to you.

[@neuralearn]

Done!

[@agungwahyudi-ti9zd]

@@neuralearn thank you sir