Models become more accurate

Outliers reduce the noise in the data

Outliers do not affect machine learning models

Outliers can lead to biased and less accurate models

The removal of duplicate rows is essential to ensure data integrity and consistency.

The removal of duplicate rows is not essential in data cleansing.

The removal of duplicate rows is optional and has no impact on data quality.

The removal of duplicate rows is only performed when there is insufficient space in the database.

Remove rows with null values

Calculate the median of numeric columns

Identify the mean of numeric columns

Detect and remove outliers in numeric columns