ML functional performance metrics · Question 11 of 60
Why does a classification model rarely predict everything correctly all the time?
1 answer is correct. Easy
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Answer
- D Partly because of the probabilistic nature of ML models and noise in the data
Explanation
A classifier is almost never right in every case. That is simply because ML models work with probabilities and real data is noisy. The confusion matrix shows at a glance where the model was right and where it was not.