Which of the following statements is true about ensemble learning?

Question $26$ options:

$1)$

Stacking utilizes different learning algorithms to improve the prediction performance.

$2)$

Decision tree is a typical example of the ensemble techniques.

$3)$

Boosting combines the output of the base learner models.

$4)$

The random forest consists of different types of classification tools for implementing a group$-$based prediction.