Which method is most appropriate for scaling features when the dataset contains significant outliers?

Question

Data Science — Medium

Which method is most appropriate for scaling features when the dataset contains significant outliers?

Accepted Answer

RobustScaler uses the median and the interquartile range (IQR) to scale data, making it resistant to the influence of outliers. StandardScaler uses the mean and standard deviation, which are heavily influenced by outliers. MinMaxScaler and MaxAbsScaler are also sensitive to outliers because they rely on the minimum and maximum values of the feature, which are often the outliers themselves.