Amazon
AIF-C01 · Question #173
A company trained an ML model on Amazon SageMaker to predict customer credit risk. The model shows 90% recall on training data and 40% recall on unseen testing data. Which conclusion can the company d
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Submitted by obi.ng· Mar 30, 2026Fundamentals of AI and ML
Question
A company trained an ML model on Amazon SageMaker to predict customer credit risk. The model shows 90% recall on training data and 40% recall on unseen testing data. Which conclusion can the company draw from these results?
Options
- AThe model is overfitting on the training data.
- BThe model is underfitting on the training data.
- CThe model has insufficient training data.
- DThe model has insufficient testing data.
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Topics
#overfitting#recall#training vs testing#model evaluation