taqueria monterrey

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.
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360 ON ON BEST ON
ON ON BEST ON 1
| 19 1
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hi . 6.0 6.5 . .
212 1
.
ON BEST ON
360 ON ON BEST ON
ON ON BEST ON 1
| 19 1
| 6
12 1
A. $e$
B. $e - 1$
C. $1$
D. $e + 1$
AnswerQuestion: In the context of machine learning, what is "overfitting"?
A: When a model uses too few features to make predictions
B: When a model is too simple to capture patterns in the data
C: When a model performs well on training data but poorly on unseen data
D: When a model is trained on too much data
Correct Answer: C When a model performs well on training data but poorly on unseen data