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CT-AI · Question #46
CT-AI Question #46: Real Exam Question with Answer & Explanation
The correct answer is D. The model is inaccurate on data similar to the training data. Underfitting occurs when the model is too simplistic to capture the underlying patterns in the training data. This results in poor performance not only on new data but also on the data it was trained on. Thus, if the model is inaccurate on data similar to the training data, it su
Question
Which ONE of the below is MOST likely to indicate a problem with underfitting in an ML model?
Options
- AThe model is vulnerable to adversarial attacks
- BThe model fails to generalize on new data
- CThe model uses a large amount of resources to make a prediction
- DThe model is inaccurate on data similar to the training data
Explanation
Underfitting occurs when the model is too simplistic to capture the underlying patterns in the training data. This results in poor performance not only on new data but also on the data it was trained on. Thus, if the model is inaccurate on data similar to the training data, it suggests
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