Hello,
I am trying to understand the output of TrainLogic. Mahout in Action only has an
example of running the classifier on numeric predictor variables. However, my
model uses categorical predictor variables only (a,b,c,d) and each can only hold
a value of 0 or 1 only. The output I get is this:
myslassifier ~ -63.081*a=0 + -15.640*a=1 +
-47.268*b=0 + -31.457*b=1 +
-47.269*c=0 + -23.541*c=1 +
-23.635*d=0 + -15.729*d=1 + .... +
-23.635*Intercept Term
a=0 -63.08073
a=1 -15.63973
b=0 -47.26775
b=1 -31.45702
c=0 -47.26934
c=1 -23.54059
d=0 -23.63467
d=1 -15.72897
How should I interpret this? Why do I have 2 weights for the same predictor
variable (e.g.: a=0 and a=1) and why are all of the weights negative? I have not
been able to find any documentation on this. Thanks!
Thanks a lot!
