Closed PetrToman closed 12 years ago
Not totally sure this is an issue. The data2.zip file did not train very well, so the output is going to contain many errors.
Here's a larger data sample: http://dione.zcu.cz/~toman40/encog/data7.zip
In any case, I don't see any reason why there should be values other than 0/1 - in case of a binary classification (when the ideal ouput is only 0/1).
I also suspect this issue causes that "Training error" calculation is wrong when the training finishes ("Training error" is currently not updated during the training in Workbench), because the ideal/real values do not (cannot) match.
This was a result of the wizard classifying this as a regression problem, which cannot be solved by Bayes. Added in an error message for trying to force Bayes to do regression, also made the wizard use classification in this case, which it should have. Now gets better results.
It would be more consistent if Workbench displayed an error message when regression is selected - like for SOM: "Can't use a SOM with regresion."
data2_output.csv
and checky
vs.Output:y
columns:Output:y
contains2
when there should be1
.