# how to deal with large numbers of unlabelled target dataset?

I have dataset of 5000 jobs descriptions out of which only 200 jobs are labelled with required English level score range between 0 to 9 and I want to predict remaining 4800 jobs required English level score? how to use clustering or multi classification in this scenario? Thanks

• How would you do it if you only had $10$ predictions to make instead of $4800?$
– Dave
Apr 20 at 2:59