Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
|
| gptkbp:assesses |
gptkb:AIC
gptkb:BIC gptkb:Mean_Squared_Error gptkb:Root_Mean_Squared_Error R-squared Mean Absolute Error |
| gptkbp:assumes |
Relationship Between Variables
|
| gptkbp:canBe |
Nonlinear Regression
Supervised Learning Multivariate Univariate Bayesian Regression Generalized Linear Model Hierarchical Regression Mixed Effects Regression Multiple Regression Nonparametric Panel Data Regression Parametric Regularized Simple Regression Time Series Regression |
| gptkbp:estimatedCost |
Model Parameters
|
| https://www.w3.org/2000/01/rdf-schema#label |
Regression Models
|
| gptkbp:includes |
gptkb:Elastic_Net_Regression
gptkb:Lasso_Regression gptkb:Linear_Regression gptkb:Multivariate_Regression gptkb:Ordinal_Regression gptkb:Poisson_Regression gptkb:Polynomial_Regression gptkb:Probit_Regression gptkb:Quantile_Regression gptkb:Ridge_Regression gptkb:Robust_Regression Logistic Regression Stepwise Regression |
| gptkbp:input |
Independent Variables
|
| gptkbp:output |
Dependent Variable
|
| gptkbp:requires |
Training Data
|
| gptkbp:usedFor |
Forecasting
Causal Inference Risk Assessment Trend Analysis Feature Selection Predicting Continuous Variables |
| gptkbp:usedIn |
gptkb:Machine_Learning
Statistics |
| gptkbp:bfsParent |
gptkb:Data_Science_Specialization_by_Johns_Hopkins_University
|
| gptkbp:bfsLayer |
6
|