How do I interpret feature importance scores in machine learning?

What are feature importance scores in machine learning?

Feature importance scores indicate the significance of each feature in predicting the target variable.

How can I interpret these scores?

You can interpret feature importance scores by looking at their values; higher scores mean the feature is more influential.

Can I visualize feature importance scores?

Yes, you can use bar charts or feature importance plots to visualize the scores for better understanding.

What should I do if a feature has a low importance score?

If a feature has a low importance score, you might consider removing it from your model to simplify it.