Editing Bootstrap aggregating (section)

=== Creating the bootstrap dataset ===
The bootstrap dataset is made by randomly picking objects from the original dataset. Also, '''it must be the same size as the original dataset.''' However, the difference is that the bootstrap dataset can have duplicate objects. Here is a simple example to demonstrate how it works along with the illustration below:

[[File:Bootstrap Example 2.png|672x672px|Bootstrap Example]]

Suppose the '''original dataset''' is a '''group of 12 people.''' Their names are '''Emily, Jessie, George, Constantine, Lexi, Theodore, John, James, Rachel, Anthony, Ellie, and Jamal.'''

By randomly picking a group of names, let us say '''our bootstrap dataset''' had '''James, Ellie, Constantine, Lexi, John, Constantine, Theodore, Constantine, Anthony, Lexi, Constantine, and Theodore.''' In this case, the bootstrap sample contained four duplicates for Constantine, and two duplicates for Lexi, and Theodore.