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CPMAI · Question #33
The confusion matrix measures how the algorithm performs for a binary classification activity. As your team is running tests to evaluate model performance, they are seeing the model is incorrectly…
The correct answer is B. False Positive results. You've hit your limit · resets 12:50am (America/New_York)
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Question
The confusion matrix measures how the algorithm performs for a binary classification activity. As your team is running tests to evaluate model performance, they are seeing the model is incorrectly categorizing flowers as trees. Your model is provided the following:
Options
- AFalse Negative results
- BFalse Positive results
- CTrue Positive results
- DTrue Negative results
How the community answered
(50 responses)- A6% (3)
- B80% (40)
- C12% (6)
- D2% (1)
Explanation
You've hit your limit · resets 12:50am (America/New_York)
Topics
#confusion matrix#false positive#binary classification#model evaluation
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