create a Logistic Regression with restrictions
Headtrouser
New Altair Community Member
Hi
I want/need to build a Log. Regression Model with additional restrictions for my Bachelor Thesis.
in my case:
( value of Attribute - avarage of this atribute) * Confidence(1) / 1000 <= x (extern Variable) &&
( value of Attribute - avarage of this atribute) * Confidence(1) / 1000 >= -x
in Words: Get best Regression Model with best Accuracy but only inside upper and lower bounce.
the Value und avarage of this attribute is Fix and x is extern variable to select the range. So the model need to find coefficients under this restrictions.
Trying now since 2 1/2 days to build it with RM Operators but without succes. So i hope i can get help here
thank you
I want/need to build a Log. Regression Model with additional restrictions for my Bachelor Thesis.
in my case:
( value of Attribute - avarage of this atribute) * Confidence(1) / 1000 <= x (extern Variable) &&
( value of Attribute - avarage of this atribute) * Confidence(1) / 1000 >= -x
in Words: Get best Regression Model with best Accuracy but only inside upper and lower bounce.
the Value und avarage of this attribute is Fix and x is extern variable to select the range. So the model need to find coefficients under this restrictions.
Trying now since 2 1/2 days to build it with RM Operators but without succes. So i hope i can get help here
thank you
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