Give brief introduction to the concept of feature selection and feature extraction, give suitable example for each.

Feature selection and feature extraction are two important techniques in the field of machine learning and data analysis. They both deal with reducing the dimensionality of the input data while retaining or enhancing the relevant information for building effective models.

Feature Selection: Feature selection involves selecting a subset of the most relevant features from the original feature set. The goal is to improve model performance by removing irrelevant or redundant ___ _________ ___ ___ __________ ___ ___ ______.
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