Comment on Decision tree learner will predict whether you prefer cats or dogsparentComments−sllrprOP14yIt figures it out on its own.You can see the entire tree at http://cord-sa.appspot.com/dumpDT−bockris14yNice!How big is the pool of variables it can choose from?Any insight on why it choose 'region' and 'browserHeight' first?−sllrprOP14yUgh, I thought I'd answered this but looks like HN lost my response :-(> How big is the pool of variables it can choose from?Currently it is just: screenWidth/Height, browserWidth/Height, browser, browserVersion, os, referrer, city, region, country.It picks the variables based on how well they partition the datasets into diverse sub-groups. This is the code that does that job:https://github.com/sanity/quickdt/blob/master/src/main/java/...
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It figures it out on its own.
You can see the entire tree at http://cord-sa.appspot.com/dumpDT
Nice!
How big is the pool of variables it can choose from?
Any insight on why it choose 'region' and 'browserHeight' first?
Ugh, I thought I'd answered this but looks like HN lost my response :-(
> How big is the pool of variables it can choose from?
Currently it is just: screenWidth/Height, browserWidth/Height, browser, browserVersion, os, referrer, city, region, country.
It picks the variables based on how well they partition the datasets into diverse sub-groups. This is the code that does that job:
https://github.com/sanity/quickdt/blob/master/src/main/java/...