Which of the following statements is NOT true about dimensionality reduction?

Question $4$ options:

$1)$

Feature selection can be viewed as a tool for dimensionality reduction by selecting a subset of attributes.

$2)$

PCA is one of the dimensionality reduction tools based on statistical covariance.

$3)$

Dimensionality reduction projects data into a lower$-$dimensional space for efficient data analysis and visualization.

$4)$

Ensemble learning has been developed to provide dimensionality reduction by combining multiple learning models.