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  3. Predicting CTR with Machine Learning in Python

Exercise

MLPs for CTR

In this exercise, you will evaluate both the accuracy score and AUC of the ROC curve for a basic MLP model on the ad CTR dataset. Remember to standardize the features before splitting into training and testing!

X is available as the DataFrame with features, and y is available as a DataFrame with target values. Both sklearn and pandas as pd are also available in your workspace.

Instructions 1/3

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  • Apply standard scaling to features.
  • Split data into training and testing sets.