Question: What is the purpose of feature selection in model training?

Options:

1. To increase the number of features
2. To reduce the complexity of the model
3. To improve the training speed
4. To ensure all features are used

Correct Answer: To reduce the complexity of the model

Solution:

Feature selection aims to select a subset of relevant features to reduce the complexity of the model and improve its performance.