2012-06-22 08:42:40 UTC
I posted this question a few days ago on IRC shortly before my
internet connection broke down,
so sorry if you read this already.
I'm currently building a simple classification system and try to use
learning curves to check whether whether
my model suffers from high bias or high variance.
I (think I) followed the instructions on this page:
So, if i understood this correctly, the training error should be small
for small training sets.
But, in my implementation and for my corpus, the training error starts
high: Loading Image...
I calculate the error for every m like this: http://dpaste.com/761794/
Does anyone of you have any tips what I did wrong here?