Aug. 31, 2022, 6:13 p.m. | Hennie de Harder

Towards Data Science - Medium towardsdatascience.com

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Here are three better ways.

As data scientist you’ve probably encountered them: data points that don’t fit in and have a bad influence on your models’ performance. How do you detect them? Do you take a look at the box- or scatterplots? And after detection, do you throw away the outliers or do you use other methods to improve the quality of the data? In this article, I will explain three ways to detect …

anomaly detection data science editors pick feature isolation-forests outliers

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