July 8, 2022, 1:58 a.m. | /u/No_Country5737

Data Science www.reddit.com

Hey guys, I found some contradictory answers and want to check with the community on this:

Is SVM robust to outliers in predictors when it comes to supervised predictive modeling?

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This article [https://www.geeksforgeeks.org/support-vector-machine-algorithm/](https://www.geeksforgeeks.org/support-vector-machine-algorithm/) says it is robust because the use of margin results in the fact that only support vectors matter. This seems to make sense when you predict with an outlandish X after a model is well trained with very little bias.

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However, Element of Statistical Learning …

datascience outliers svm

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