Question 191

You are developing a new deep learning model that predicts a customer's likelihood to buy on your ecommerce site. After running an evaluation of the model against both the original training data and new test data, you find that your model is overfitting the data. You want to improve the accuracy of the model when predicting new data. What should you do?

A. Increase the size of the training dataset, and increase the number of input features.
B. Increase the size of the training dataset, and decrease the number of input features.
C. Reduce the size of the training dataset, and increase the number of input features.
D. Reduce the size of the training dataset, and decrease the number of input features.

Overfit is fixed by decreasing the number of input features (select only essential features)
Accuracy is improved by increasing the amount of training data examples.

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