Kai Kuehne

2012-06-22 08:42:40 UTC

Hi,

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:

http://jakevdp.github.com/tutorial/astronomy/practical.html

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?

Thank you!

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:

http://jakevdp.github.com/tutorial/astronomy/practical.html

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?

Thank you!