Predictor Variable
In Data Science, a predictor variable is a variable that is used to predict the value of another variable, known as the response variable. Predictor variables are also known as independent variables, input variables, or features. In statistical modeling, predictor variables are used to build a model that can predict the value of the response variable based on the values of the predictor variables. The relationship between the predictor variables and the response variable can be linear or non-linear, and can be modeled using various techniques such as regression analysis, decision trees, and neural networks. Predictor variables can be continuous, categorical, or binary, and their selection and preprocessing is a crucial step in building an accurate and robust predictive model.
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