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gptkbp:instanceOf
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gptkb: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
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|
gptkbp:estimatedCost
|
Model Parameters
|
|
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
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Regression Models
|