Extract regression equation

Louie
New Altair Community Member
Hi,
I'm building a model to predict a numeric continuous variable by using another numeric variable.
Logarithmic or polynomial equations better fit my data. They have given a lower error rate than linear regression, but I'm unsure how to extract the model equation (formula) from the model I built.
Here is the algorithm I used:
- Generalized Linear Model
- family: gaussian
- link: log
(Green label = prediction)

Also, I am trying to use polynomial regression for my model since it shows the equation in the model output. However, the prediction is totally off, not sure if I made any mistake in the setting. (Green label = prediction)


Thanks,
Tagged:
0
Best Answer
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Hi @Louie,
If you click on the data option into the left menu, you can see a table with the attributes and coefficients. You can construct the model with the more significant variables using the p-value and significance level as criteria.
The attached image is from sample process for GLM regression.
Best,
Cesar1
Answers
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Hi @Louie,
There is a good guide about the use and interpretation of GLM. It was very useful for me.
https://statisticsbyjim.com/regression/interpret-coefficients-p-values-regression/
Best,
Cesar0 -
Hi ceaperez,
Thank you for the reference.
I understand the GLM formula and interpretation. However, I'm not sure where to find the model equation I built which I am planning to apply the model into other application (by using the formula) to predict new testing data (e.g., label = a + b(x) + c (x) or label = a+b log (x)
. Also, I am wondering if the rapidminer GLM could automatically generate interaction terms when I have 2 or more numeric or binomial independent variables?
Thanks,0 -
Hi,maybe you want to check the Function Fitting operator.cheers,Martin2
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Thanks mschmitz,
The Function Fitting operator could help me for generating interaction terms.
However. I'm still not sure how to directly out up the equation from an GLM .
For example, I can find the equation directly from linear or polynomials model
but not with GLM
0 -
Hi @Louie,
If you click on the data option into the left menu, you can see a table with the attributes and coefficients. You can construct the model with the more significant variables using the p-value and significance level as criteria.
The attached image is from sample process for GLM regression.
Best,
Cesar1