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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #19

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #19: Real Exam Question with Answer & Explanation

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Submitted by noor.lb· Apr 18, 2026ML model development

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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Topics

#Data Leakage#Cross-validation#Model Evaluation#Time Series
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