MLA-C01 ML Model Development Practice Question
A data scientist is using SageMaker built-in XGBoost algorithm for a binary classification task. Which objective metric is MOST appropriate for SageMaker Automatic Model Tuning to maximize?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
validation:auc
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
validation:mae
Why it's wrong here
MAE is for regression.
- ✗
validation:rmse
Why it's wrong here
RMSE is for regression, not classification.
- ✗
validation:ndcg
Why it's wrong here
NDCG is for ranking tasks.
- ✓
validation:auc
Why this is correct
AUC is a common binary classification metric and is available in XGBoost.
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