Difference between revisions of "Regression"
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* [[One-class Support Vector Machine (SVM)]] | * [[One-class Support Vector Machine (SVM)]] | ||
* [[Gradient Boosting Machine (GBM)]] | * [[Gradient Boosting Machine (GBM)]] | ||
| + | * [[Symbolic Regression]] | ||
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Revision as of 02:27, 29 July 2022
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- Linear Regression
- Ridge Regression
- Lasso Regression
- Elastic Net Regression
- Bayesian Linear Regression
- Logistic Regression (LR)
- Support Vector Regression (SVR)
- Ordinal Regression
- Poisson Regression
- Tree-based...
- General Regression Neural Network (GRNN)
- One-class Support Vector Machine (SVM)
- Gradient Boosting Machine (GBM)
- Symbolic Regression
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set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or 'predictors'). More specifically, regression analysis helps one understand how the typical value of the dependent variable (or 'criterion variable') changes when any one of the independent variables is varied, while the other independent variables are held fixed. Regression Analysis | Wikipedia
