Hi ,
I have built a model in SAS entreprise Miner, but in the sample I used , the responds are over represented (1=0.5 and 0=0.5), so I have used the Decisions in EM and add the Adjusted Priors to correct it (1=0.0002 and 0=0.9998, because our responds are this much only), please see table below. when I connected this input sample data to decision tree it is not giving the variable importance in output window (but i can see in statexplorer) and giving the result in tree window like below. and when I connected the score node with score table , all customer responds are all 0s, not giving the proper output , please help me with this and please explain the step by step if possible if the responds are like this (0.0002)
decision tree results level 1 0%
level 0 100%
count 3042
level count prior adjusted prior
1 1521 0.5 0.0002
0 1521 0.5 0.9998
Could you please help? Am I missing a step?
Many Thanks
Sathya
How many did you attempt to score?
From what you have shown I would not be surprised not to get any 1 with fewer than 10000 customers.
Join us for SAS Innovate April 16-19 at the Aria in Las Vegas. Bring the team and save big with our group pricing for a limited time only.
Pre-conference courses and tutorials are filling up fast and are always a sellout. Register today to reserve your seat.
Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.