Open ghost opened 6 years ago
Your reply with the code will be more than useful. Thanks once again.
Hi @raaju-shiv , If you can obtain the output prediction of the model for your own data, it is not very difficult to draw the ROC curve. You can checkout this video to build an intuitive understanding of what these metrics are. The code will be pretty straightforward once you understand the concept. Let me know if you still have any difficulties.
Many thanks for your post. I’m following your alexnet code as a feature extractor for my binary medical image classification. I’m using tensorflow backend. Could you please let know the code to compute confusion matrix and roc auc scores? It would be extremely helpful.