In statistics, an outlier is an observation point that is distant from other observations.

These extreme values need not necessarily impact the model performance or accuracy, but when they do they are called “Influential” points.

Note: _An _outlier_ is a data point that diverges from an overall pattern in a sample. An influential point is any point that has a large effect on the slope of a regression line._

Now the question arises that how we can detect these outliers and how to handle them?

Well before jumping straight into the solution lets explore that how the outliers being added to our dataset. What is the root cause of it.

#outliers #anomaly-detection #algorithms #outlier-detection #machine-learning