Logistic Regression - how confidence is computed
Hi everyone!
I have a question regarding rapidminer and i hope somebody can help me please : )
I've created a Workflow based on the Weka-Logistic Regression. How the coefficents are calcuated and so on is not the problem.
Furthermore I built the Workflow so, in the end it created a csv file which applies the model on my input.csv.
Now I got the confidence of yes and no, which is the probability of course (I hope so).
I was little bit skeptic so i computed the coefficients for one row of data and i got a prob which deviates from the computed prob by rapidminer.
I was wondering, if its possible or to track how Rapdiminer computes the confidence for the data?
With kind regards
Klori
I have a question regarding rapidminer and i hope somebody can help me please : )
I've created a Workflow based on the Weka-Logistic Regression. How the coefficents are calcuated and so on is not the problem.
Furthermore I built the Workflow so, in the end it created a csv file which applies the model on my input.csv.
Now I got the confidence of yes and no, which is the probability of course (I hope so).
I was little bit skeptic so i computed the coefficients for one row of data and i got a prob which deviates from the computed prob by rapidminer.
I was wondering, if its possible or to track how Rapdiminer computes the confidence for the data?
With kind regards
Klori