What Are The Limitations Of Supervised Regression?

Описание: Supervised regression models are powerful tools, but what are their inherent weaknesses and potential pitfalls? This video dives deep into the specific limitations you need to be aware of when applying supervised regression techniques.

In this video, we explore:
► Why supervised regression can struggle with complex, non-linear relationships in data.
► The impact of multicollinearity and outliers on model performance and interpretation.
► Challenges related to data scarcity, feature engineering, and the curse of dimensionality.
► When supervised regression might not be the optimal choice for your predictive modeling tasks.


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