"Decision Tree and Feature selection results"

ammargh

Using RM 5.3.008
Prediction done using Decision tree.
I have used feature selection (Optimize selection) with backward selection. The output of this process was used as an input for X-Validation block. A 90 % accuracy was achieved.
I have found that the feature selection process has removed one feature.
I have replaced the "Optimize selection" block by "select attribute" component and removed that feature. The X-Validation accuracy has dropped down to 89%.

Am I missing something? Shouldn't I get the same accuracy since all other parameters are the same?

Thank you in advanced for your reply

Skirzynski

Tried to reproduce what you have described, but I get the same accuracy. Could you post an example process with a small data set?