Target Variable
In Data Science, the target variable is the variable that is being predicted or estimated by a model. It is also known as the dependent variable or response variable. The target variable is the main focus of a predictive model and is used to make predictions based on the input variables. The selection of the target variable is crucial in building a successful model as it determines the objective of the model. The target variable can be continuous or categorical, depending on the type of problem being solved. For example, in a regression problem, the target variable is continuous, while in a classification problem, the target variable is categorical. The target variable is used to evaluate the performance of the model by comparing the predicted values with the actual values.
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