i am carrying out logistic regression over 1 set of data. for the test data should i use the model which is developed or use the test data also to build the model.
Added by Minethedata on November 28, 2010 at 12:09am —
Suppose while modeling the training data we use clustering initially to group together objects and then apply decision trees for the data which belongs to cluster 1. Then for the test data how do we conclue that this data belongs to which cluster or do we have to carry out clustering again along with the training data and how do we apply the decision trees which we used for cluster 1?
Added by Minethedata on November 25, 2010 at 5:21am —
Trying to compare 2 methods for churn prediction . 1st method is based on churn attrition calculation by extrapolating churn attrition rate and 2nd method is based on churn prediction by logistic regression. Obvious difference is that the fiurst method gives the headcount but the second method can give individual prediction. Another is that 2nd method is more realistic as it is based on number of realistic variables. Interested to know some more comparisons.
Added by Minethedata on November 13, 2010 at 1:20am —