# Regression Learner App - relative weights of variables

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lauzof on 22 Aug 2023
Answered: lauzof on 30 Aug 2023
Hello everyone,
I've been using the Regression Learner App to train a model. Can anyone tell me how can I check the relative weights that the model assigns to every predictor variable?
thanks a lot,
best,
Laura

Kevin Holly on 22 Aug 2023
Assuming that you exported your trained model as the variable trainedModel and that you have a linear model, you can access a table that has the coefficient estimates of the predictor variables as such:
trainedModel.LinearModel.Coefficients
You could extract those values by typing:
trainedModel.LinearModel.Coefficients.Estimate
You could also determine which of the predictors seemed to have the most impact by using something like LIME (Local Interpretable Model-Agnostic Explanations).
r=lime(trainedModel.predictFcn,train_data,'type','Regression');
qp=train_data(1,:);
r2=fit(r,qp,3);
plot(r2);
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Kevin Holly on 23 Aug 2023
Try this:
r = lime(trainedModel.RegressionGP,tbl_training,'Type','regression');
qp=tbl_training(1,:); % This is the query point.
r2=fit(r,qp,4); % You had 4 predictors, so I changed 3 to 4
plot(r2);
r = lime(trainedModel.RegressionGP,tbl_training,'Type','regression');
qp=tbl_training(10,:); % This is the query point.
r2=fit(r,qp,4); % You had 4 predictors, so I changed 3 to 4
plot(r2);
lauzof on 28 Aug 2023
Thanks a lot, Kevin!

lauzof on 30 Aug 2023
Is it possible to find the predictor importance from my model at a global level? something as shown in the first plot of here https://it.mathworks.com/help/stats/lime.plot.html but not for an individual queryPoint
thanks again!
best,
Laura