Predictor Variables

Predictor variables, also known as independent variables, are variables that are used to predict the value of a dependent variable in a statistical model. In data science and artificial intelligence, predictor variables are often used in machine learning algorithms to train models to make predictions or classifications. These variables can be continuous or categorical, and their selection and preparation is a critical step in the model building process. Predictor variables are chosen based on their ability to explain the variation in the dependent variable, and their relevance to the problem being solved. Feature selection techniques are often used to identify the most important predictor variables in a dataset.
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