week and I got these links from Andy's response
(thanks Andy!)
-Jason
From: Pagliari, Roberto [mailto:rpagli...@appcomsci.com]
Sent: Tuesday, April 14, 2015 3:08 PM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] adaboost parameters
hi Jason/Andreas,
ed in the video. I don't
know other tips or rule of thumbs are available.
Thanks,
From: Jason Wolosonovich [jmwol...@asu.edu]
Sent: Monday, April 13, 2015 10:47 PM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] adaboost
oject.
-Jason
From: Andreas Mueller [mailto:t3k...@gmail.com]
Sent: Monday, April 13, 2015 3:31 PM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] adaboost parameters
You might consider using gradient boosting instead.
see https://www.youtube.com/watch?v=IXZKgIsZRm0
:* Re: [Scikit-learn-general] adaboost parameters
What is your dataset like? How are you building your individual
classifier that you are ensembling with AdaBoost? A common-use case
would be boosted decision stumps (one-level decision trees).
http://en.wikipedia.org/wiki/Decision_stump
http
ks,
From: Jason Wolosonovich [mailto:jmwol...@asu.edu]
Sent: Saturday, April 11, 2015 9:13 AM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] adaboost parameters
What is your dataset like? How are you building your individual classifier that
you are ensem
What is your dataset like? How are you building your individual classifier that
you are ensembling with AdaBoost? A common-use case would be boosted decision
stumps (one-level decision trees).
http://en.wikipedia.org/wiki/Decision_stump
http://lyonesse.stanford.edu/~langley/papers/stump.ml92.pd
