Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Regression Analysis Method
|
| gptkbp:canBe |
gptkb:Least_Squares_Method
|
| gptkbp:canBeRegularizedBy |
gptkb:Lasso_Regression
gptkb:Ridge_Regression |
| gptkbp:canOverfit |
High Degree
|
| gptkbp:hasModel |
Curvilinear Data
|
| https://www.w3.org/2000/01/rdf-schema#label |
Polynomial Regression
|
| gptkbp:implementedIn |
gptkb:SAS
gptkb:MATLAB gptkb:scikit-learn R |
| gptkbp:input |
Independent Variable
Polynomial Terms |
| gptkbp:output |
Continuous Variable
|
| gptkbp:parameter |
Degree
|
| gptkbp:relatedTo |
Nonlinear Regression
Basis Function Regression Spline Regression |
| gptkbp:requires |
Polynomial Features
|
| gptkbp:sensitivity |
gptkb:Outliers
|
| gptkbp:subspecies |
gptkb:Linear_Regression
|
| gptkbp:usedFor |
Modeling Nonlinear Relationships
|
| gptkbp:usedIn |
gptkb:Machine_Learning
Statistics |
| gptkbp:visualizes |
Fitted Curve
Scatter Plot |
| gptkbp:bfsParent |
gptkb:Linear_Regression
|
| gptkbp:bfsLayer |
6
|