Which of the following does NOT describe supervised machine learning $($ML$)?$

$1.$Supervised ML data must be labeled or classified.

$2.$Supervised ML uses a known set of gold standard training data.

$3.$Supervised ML uses known terms and features of problems to correctly answer given new input.

$4.$Supervised ML cannot be used in handwriting analysis or picture recognition.