A nominal category has no meaningful order. Which encoding is generally safer than assigning arbitrary increasing integers to a linear model?

1. The average target from the full dataset including test labels
2. Integers chosen by alphabetical order without evaluating their effect
3. One-hot encoding with a planned unseen-category policy
4. A random new code for each inference call