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Scenario: You are developing a deep learning model to predict the likelihood of a customer buying on your ecommerce site. After evaluating the model on both the original training data and new test data, you discover that the model is overfitting. You need to improve the model's accuracy when predicting new data. Question: What should you do to improve the accuracy of your model when predicting new data?