Multivariable Regression Task
(Redirected from Multivariable Regression)
Jump to navigation
Jump to search
A Multivariable Regression Task is a regression task that requires a Multi-Predictor Variable Training Dataset.
- AKA: Multi-Prediction Feature Regression.
- Context:
- It can be solved by a Multivariable Regression System (that implements a Multivariable Regression Algorithm).
- …
- Counter-Example(s):
- See: Multivariable Classification Task.
References
2013
- (Hidalgo & Goodman, 2013) ⇒ Bertha Hidalgo, and Melody Goodman. (2013). “Multivariate Or Multivariable Regression?.” In: American journal of public health, 103(1).
- QUOTE: Most regression models are described in terms of the way the outcome variable is modeled: in linear regression the outcome is continuous, logistic regression has a dichotomous outcome, and survival analysis involves a time to event outcome. Statistically speaking, multivariate analysis refers to statistical models that have 2 or more dependent or outcome variables, and multivariable analysis refers to statistical models in which there are multiple independent or response variables.