Drift and model fit · Question 51 of 60
A model achieves 95% accuracy on the validation dataset but only 71% on a separate test dataset with less common examples. What can be concluded from this?
1 answer is correct. Hard
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Answer
- C The model might be overfitting, because it performs significantly worse on the test dataset
Explanation
Overfitting is tested for by evaluating performance on a separate test dataset not used during training, which also includes less common examples. If performance there is significantly worse than on the validation dataset, the model might be overfitting.