Description: An output variable is the variable that is predicted or estimated by a model in the context of machine learning. In simpler terms, it refers to the result that is desired from a set of input data. This variable is fundamental in building predictive models, as its value is what is attempted to be predicted or classified. Output variables can be of different types, including continuous variables, such as the price of a house, or categorical variables, such as the species of a flower. The correct identification and definition of the output variable is crucial for the success of the model, as it influences algorithm selection, data preparation, and model performance evaluation. In summary, the output variable acts as the target of machine learning, guiding the training and validation process of the model to achieve accurate and useful predictions.
