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Definitions from the WebPredictor VariableDescription:The predictor variable, also known as an independent variable or input variable, is a variable that is used in statistical models to predict or explain the outcome or dependent variable. In various fields such as economics, psychology, and biology, predictor variables are crucial for understanding the relationships between different factors and making predictions. Sense 1:Noun (Statistics) When building a statistical model, a predictor variable is the variable that is considered the cause or influencing factor, used to predict or estimate the outcome variable. It is used to establish a relationship or pattern, allowing predictions to be made based on the values of the predictor variable. Example: In a study analyzing the relationship between income and education level, education level would be the predictor variable. Sense 2:Noun (Machine Learning) In machine learning, a predictor variable is a feature or attribute of a dataset that is used as input to make predictions or classifications. These variables help in training models to find patterns or relationships and make predictions on new, unseen data. Example: In a spam email detection system, the length of the email and the presence of certain keywords can be used as predictor variables to classify emails as spam or not. Related products: | ||||
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