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 n

Question

Options

• AIncrease the size of the training dataset, and increase the number of input features.
• BIncrease the size of the training dataset, and decrease the number of input features.
• CReduce the size of the training dataset, and increase the number of input features.
• DReduce the size of the training dataset, and decrease the number of input features.

• A
  4% (1)
• B
  74% (17)
• C
  13% (3)
• D
  9% (2)

Explanation

Explanation/Reference: Feature selection is the one the ways to resolve overfitting. Which means reducing the features when the size of the training data is small, then the network tends to have greater control over the training data. so increasing the size of data would help. https://docs.aws.amazon.com/machine-learning/latest/dg/model-fit-underfitting-vs-overfitting.html

No community discussion yet for this question.