Which of the following statements is NOT true about knowledge representation?

Question $1$ options:

$1)$

One of the simplest ways of representing the output from learning algorithms is to make a table.

$2)$

In a linear model, the straight line in the form of y$=$ax$+$b represents the best fit prediction equation.

$3)$

In a decision tree, leaf nodes give a classification that applies to all instances that reach the leaf.

$4)$

A divide$-$and$-$conquer approach to the problem of learning from a set of independent instances leads naturally to the representation of a table with columns and rows.