Question 48 of 280
Single answerYou 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?
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.
✓
Correct Answer: B
Address data leakage by applying nested cross-validation during model training.
▥
Explanation
The correct answer is highlighted above. Review the wording carefully, then use the next question to continue building your understanding of Google certification topics.