Free Google Professional Machine Learning Engineer Exam Dumps

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Question No: 11

MultipleChoice

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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