How to get precision, recall, f1 score in transfer learning vgg16 model?

Question

How to to get the precision, recall, confusion matrix, and f1 score? I am new in deep learning. Anyone give me a resource or help me to find the information.

Answer 1

Import the modules from sklearn :

from sklearn.metrics import classification_report, confusion_matrix

Assuming your test set explanatory variables are contained in X_test , the response variables in y_test , and your model is named model , predict the values for the test set:

y_pred = model.predict(X_test)

And then print the classification report and confusion matrix:

print(classification_report(y_test, y_pred))
print(confusion_matrix(y_test, y_pred))