Which of the following statements is NOT true about classification?

Question $13$ options:

$1)$

The goal of classification learning is to learn the class information from data for future prediction.

$2)$

The prediction result is a discrete class to which the learning model assumes that the data instance belongs.

$3)$

Classification algorithms search their space to find out associations among different features.

$4)$

Classification requires class labels for completing the learning process.