Describe Outliers.
Outliers are data points that are extremely dispersed from the group and do not belong to any clusters or groups. This could have an impact on how the model behaves, cause it to forecast the wrong outcomes, or make them exceedingly inaccurate. As a result, outliers must be handled cautiously because they may reveal useful information. These outliers may cause a Big Data model or a machine learning model to be inaccurate. These outcomes could be,
- poor outcomes
- reduced precision
- Extended Training





