Question 28
Consider following common data:
print("Classification Report:\n", classification_report(y_test, y_pred))Classification Report: precision recall f1-score support
0 1.00 0.33 0.50 3 1 0.97 1.00 0.99 73
accuracy 0.97 76 macro avg 0.99 0.67 0.74 76weighted avg 0.97 0.97 0.97 76Consider the above classification report on a model where y_test contains the original labels and y_pred contains the predicted labels.
Based on the above data, answer the given subquestions.
Consider the following and select the corrrect option:
Assertion: This is a good model as we see a very high accuracy of 97%
Reason: In the case of imbalanced datasets, accuracy might not be the best metric for evaluating a model
Both the assertion and reason are correct, and the reason is a correct explanation of the assertion
Both the assertion and reason are correct, but the reason is not a correct explanation of the assertion.
The assertion is correct, but the reason is incorrect.
The assertion is incorrect, but the reason is correct.