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diagnosing bias, variance from learning curve
Contributor II
Hi,
I was doing machine learning course at coursera and there was a lecture about diagnosing high bias, or high variance from learning curves - check this pictures how (http://followthedata.files.wordpress.com/2012/06/screen-shot-2012-06-02-at-21-30-03.png, http://followthedata.files.wordpress.com/2012/06/screen-shot-2012-06-02-at-21-31-03.png). If anyone interested here is the lecture - https://class.coursera.org/ml-003/lecture/64. I just can't find it enywhere else, I mean in some serious book. So my question is, if this is really good, or commonly used approach to diagnose bias - variance in classification task? Or are there any commonly used, probably preferable way how to determine bias, variance error part in classification task?
Thank you
I was doing machine learning course at coursera and there was a lecture about diagnosing high bias, or high variance from learning curves - check this pictures how (http://followthedata.files.wordpress.com/2012/06/screen-shot-2012-06-02-at-21-30-03.png, http://followthedata.files.wordpress.com/2012/06/screen-shot-2012-06-02-at-21-31-03.png). If anyone interested here is the lecture - https://class.coursera.org/ml-003/lecture/64. I just can't find it enywhere else, I mean in some serious book. So my question is, if this is really good, or commonly used approach to diagnose bias - variance in classification task? Or are there any commonly used, probably preferable way how to determine bias, variance error part in classification task?
Thank you
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