Crucial Exams

AWS Certified AI Practitioner AIF-C01 Practice Question

A development team notices that their machine-learning model shows very low error on the training dataset but much higher error when evaluated on new customer data. Which condition is this most likely an example of?

  • High bias (underfitting)

  • Data leakage between training and test sets

  • High variance (overfitting)

  • A well-balanced model with good generalization

AWS Certified AI Practitioner AIF-C01
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