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.
can u give definition of each variable balaji?
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ReplyDeletei updated this post now suba. see and if any queries let me know and will update it. or else you can also update
ReplyDeleteyeah . i now understood balaji . will post mine soon :)
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