What is the impact of automated tuning on machine learning models?

What is the impact of automated tuning on machine learning models?

Automated tuning can significantly enhance model performance by optimizing hyperparameters efficiently.

Can you explain how it improves performance?

It reduces the time spent on manual tuning and often finds better parameter combinations that humans might overlook.

Are there any downsides to relying on automated tuning?

Yes, it can lead to overfitting if not monitored properly, and it may require substantial computational resources.

How does it compare to manual tuning?

Automated tuning is generally faster and can explore a wider parameter space, while manual tuning relies on human intuition.