You Started Working on a Classification Problem with Time Series

question 22

Multiple Choice

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?

• A) Address the model overfitting by using a less complex algorithm.
• B) Address data leakage by applying nested cross-validation during model training.
• C) Address data leakage by removing features highly correlated with the target value.
• D) Address the model overfitting by tuning the hyperparameters to reduce the AUC ROC value.

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