You are preprocessing a dataset for a machine learning model and decide to apply normalization. Which of the following statements about normalization are correct? (Select all that apply.)多项选择题

When using normalization, each feature is scaled independently based on its minimum and maximum values.

Normalization transforms the data to have a mean of 0 and a standard deviation of 1.

Normalization is sensitive to outliers in the dataset, which can disproportionately affect the scaling.

The MinMaxScaler in scikit-learn normalizes features to a user-defined range, typically between 0 and 1.