Question - Explain Outliers.
Answer -
Outliers are the data points that are very far from the group, which is not a part of any group or cluster. This may affect the behavior of the model, they may predict wrong results, or their accuracy will be very low. Therefore Outliers must be handled carefully as they may also contain some helpful information. The presence of these outliers may lead to misleading a Big Data model or a Machine Learning Model. The results of this may be,
- Poor Results
- Lower accuracy
- Longer Training Time