Answer-first summary for fast verification
Answer: Enlarge the training dataset and reduce the number of input features
To combat overfitting and improve model accuracy, increasing the size of the training dataset while reducing the complexity by removing some input features is effective. This approach helps the model generalize better to unseen data. Reference: [Machine Learning Mastery](https://machinelearningmastery.com/impact-of-dataset-size-on-deep-learning-model-skill-and-performance-estimates/)
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
You're developing a deep learning model aimed at forecasting customer purchasing behavior on your e-commerce platform. Evaluation indicates the model is overfitting. To enhance its accuracy with new data, what steps should you consider?
A
Expand the training dataset and introduce additional input features
B
Reduce the training dataset size and eliminate certain input features
C
Enlarge the training dataset and reduce the number of input features
D
Shrink the training dataset and incorporate more input features
No comments yet.