Please match below descriptions with various learning algorithms.

Question $3$ options:

$123$

The training set contains examples are drawn from only one class.$$ The goal is to learn a model that predicts whether an example belongs to that class.

$123$

The training set contains examples are drawn from more than two classes.$$ The goal is to find boundaries that separate the multiple classes from each other.

$123$

The training set contains examples are drawn from exactly two classes $($typically called positive and negative$).$ The goal is to find a boundary that separates the two classes.

$1.$

One$-$class learning

$2.$

Two$-$class learning$$

$3.$

Multi$-$class learning