What is the impact of model simplification on accuracy?

What is the impact of model simplification on accuracy?

Model simplification can lead to reduced accuracy, but it often improves interpretability and efficiency.

Can you explain why simplifying a model might decrease its accuracy?

Simplifying a model can remove important features or relationships, leading to a loss of predictive power.

Are there situations where simplification actually improves accuracy?

Yes, in cases of overfitting, a simpler model can generalize better to new data, thus improving accuracy.

How do I decide when to simplify a model?

Consider the trade-off between accuracy and interpretability, and use validation techniques to guide your decision.