Which of the following is a technique for reducing the impact of outliers on a supervised learning model?Review LaterRemoving the outliers from the datasetWinsorizing the dataUsing a robust loss functionAll of the above
Question
Which of the following is a technique for reducing the impact of outliers on a supervised learning model?Review LaterRemoving the outliers from the datasetWinsorizing the dataUsing a robust loss functionAll of the above
Solution
All of the above.
- Removing the outliers from the dataset: This is the most straightforward way to handle outliers. If you have a good reason to consider some data points as outliers and they are indeed affecting your
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