Independent Variable (represents the output or effect) - "predictor variable",
"regressor", "controlled variable", "manipulated variable", "explanatory
variable", "exposure variable", "risk factor", "feature", and "input variable"
Dependent Variable (represents the input or causes) - "response variable", "regressand", "measured variable", "responding variable", "explained variable", "outcome variable", "experimental variable", and "output variable"
Both these terminologies and its variations may vary depends on the context and application where we use. Say for instance, the term "feature" is an independent variable which is mostly used in machine learning and pattern recognition. the term "risk factor" is used in medical diagnosis.
Dependent Variable (represents the input or causes) - "response variable", "regressand", "measured variable", "responding variable", "explained variable", "outcome variable", "experimental variable", and "output variable"
Both these terminologies and its variations may vary depends on the context and application where we use. Say for instance, the term "feature" is an independent variable which is mostly used in machine learning and pattern recognition. the term "risk factor" is used in medical diagnosis.
