outlier research

We have a lot of outliers which is a dilemma. The cost/benefit ratio on this is confusing.

Including the outliers helps our model discover patterns where seat types might cost more. It's very realistic that prices go this high dependent on variables.

But is there enough beneficial data on these outliers to warrant their inclusion, or are the outliers influential enough to hurt the model's performance?

We either include them, exclude them, or find some in-between.

**How can we talk about defending their inclusion for the sake of model generalization? Or how can we talk about defending their exclusion for the sake of more appropriate model performance and scoping?**