PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #19
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #19: Real Exam Question with Answer & Explanation
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Question
You started working on a classification problem with time series data and achieved an area under the receiver operating characteristic curve (AUC ROC) value of 99% for training data after just a few experiments. You haven't explored using any sophisticated algorithms or spent any time on hyperparameter tuning. What should your next step be to identify and fix the problem?
Options
- AAddress the model overfitting by using a less complex algorithm.
- BAddress data leakage by applying nested cross-validation during model training.
- CAddress data leakage by removing features highly correlated with the target value.
- DAddress the model overfitting by tuning the hyperparameters to reduce the AUC ROC value.
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