How to view the equation of a linear regression model, automatically generated with regression learner
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Carolina Hernández
am 17 Dez. 2020
Kommentiert: Carolina Hernández
am 12 Jan. 2021
How to view the equation of a linear regression model, automatically generated with regression learner, as the coefficients of the variables and the intercept.
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Jule
am 7 Jan. 2021
Export the model and then open the newly created structure variable from your workspace window. Under 'coefficients' and 'CoefficientNames' there will be a list of the variables and the associated values and 2SD uncertainties for the fit. Note that 'VariableA:VariableB' actually means VariableA * VariableB, but it's written as a division for some weird reason
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Abhishek Gupta
am 21 Dez. 2020
As per my understanding, you want to view the linear regression model equation with coefficients and intercept in it. Below code output the equation in a string format: -
load carsmall % Load the carsmall data set
X = [Weight,Horsepower,Acceleration];
mdl = fitlm(X,MPG); % Fit a linear regression model
vars = cat(1, {'1'}, mdl.PredictorNames); % create variable matrix
coeffs = string(mdl.Coefficients.Estimate); % create coeffcients matrix
equation = strcat('y=', strjoin(strcat('(', strcat(strcat(coeffs, '*'), vars), ')'), ' + ')); % output
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