When should I remove outliers from my data?

When should I remove outliers from my data?

You should consider removing outliers when they significantly skew your results or when they are due to measurement errors.

How do I identify outliers in my dataset?

You can identify outliers using statistical methods like the Z-score, IQR, or visualizations like box plots.

What if the outliers are valid data points?

If the outliers are valid, you might want to analyze them separately or use robust statistical methods that minimize their impact.

Can removing outliers affect my model's performance?

Yes, removing outliers can improve model performance by reducing noise, but it can also lead to loss of important information.