🎉Community Raffle - Win $25

An exclusive raffle opportunity for active members like you! Complete your profile, answer questions and get your first accepted badge to enter the raffle.
Join and Win

Bad performance when loading and applying a SVM Model

User: "Fred12"
New Altair Community Member
Updated by Jocelyn

hi,

I saved a SVM model as 

I got a performance of about 80%-87% for testing / training accuracy respectively.

When I now load the saved model and applied the model on some test data, I get only about 57%, and the contingency table shows me that there seems to be an issue... here is the design from loading and applying the model:

Unbenannt.JPG

 

and here is the performance:

 

Unbenannt2.JPG

ok my previous post was cut again...so here again:

when I am doing the same process, only with a k-nn model, I get also about 80% on new test data... that's why I'm asking me if this is a SVM operator related issue, or if I did something wrong with my process, or if its a saving the model issue...

 

the only log message that appeared was:

Aug 5, 2016 9:18:20 AM WARNING: Kernel Model: The value types between training and application differ for attribute 'ABC', training: real, application: integer

 

therefore, I imported the data again, and configured real for 'ABC', the message dissapeared but the result was the same unfortunately...

 

Find more posts tagged with