Question 2:
What does a "Type 1 error" refer to in the context of the confusion matrix?
A. Predicting "Yes" when the actual value is "No."
B. Predicting "No" when the actual value is "Yes."
C. A false positive prediction.
D. A false negative prediction.
Answer (1)
A Type 1 error in the context of a confusion matrix refers to a false positive, where a model predicts 'Yes' when the actual value is 'No.' This is significant in evaluating the accuracy of predictive models, particularly in sensitive fields like medicine. Understanding such errors helps in refining model performance. ;
