AWS Certified AI Practitioner (AIF-C01) — Question 89

A company is developing an ML model to predict customer churn. The model performs well on the training dataset but does not accurately predict churn for new data.

Which solution will resolve this issue?

Answer options

• A. Decrease the regularization parameter to increase model complexity.
• B. Increase the regularization parameter to decrease model complexity.
• C. Add more features to the input data.
• D. Train the model for more epochs.

Correct answer: B

Explanation

Increasing the regularization parameter helps to reduce overfitting by simplifying the model, which can improve its performance on new data. Decreasing the regularization parameter (Option A) would likely lead to more complexity and overfitting. Adding more features (Option C) may not help if the model is already overfitting, and simply training for more epochs (Option D) may not address the underlying issue of overfitting either.