medelvärdesbehandling
Medelvärdesbehandling, or mean imputation, is a statistical technique used to handle missing data in a dataset. When a value is missing for a particular variable, mean imputation replaces that missing value with the mean of the observed values for that same variable. This is a simple and widely used method due to its ease of implementation.
The process involves calculating the arithmetic mean of all the available data points for a specific feature
However, mean imputation has limitations. It can distort the distribution of the variable by reducing its variance.