Feature Vector

A feature vector is an array of numerical values that represent specific attributes of an object or observation in a dataset. In machine learning, these vectors are used as input to algorithms to perform classification, regression, or clustering tasks. The choice of features and their representation significantly influences the performance of machine learning models.