A distance-based classifier is dominated by a feature measured in millions while other features range from zero to one. Which preparation step should be evaluated?

1. Encode the target as a feature
2. Sort the dataset alphabetically by column name
3. Remove validation data so all values look consistent
4. Appropriate feature scaling fitted on training data