Hi Jake,

the tutorial looks great! Unfortunately, I haven't got the time to go
through all of it yet, however, I spotted something that confused me:
in the last paragraph of Section 2.3.4 you state: "Of the points we
label quasars, only 14% of them are correctly labeled." By "we labeled
quasars" you mean those points who's true label is positive (=quasar)
and not who's predicted label is positive? Because the latter would
refer to precision rather than recall. Maybe you should change the
wording to avoid confusion.

BTW: "we are correctly identifying 95% of all quasars." should
actually be "among the points identified as quasars 95% are correct"
because the former would be recall rather than precision.

best,
 Peter

2012/2/27 Jacob VanderPlas <[email protected]>:
> Thanks for all the feedback.
> I pushed an update this morning which addressing some of the easy fixes
> that were brought up, as well as adding the final two exercises.  Thanks!
> http://jakevdp.github.com/tutorial/astronomy/exercises.html
>   Jake
>
> Lars Buitinck wrote:
>> 2012/2/27 Jacob VanderPlas <[email protected]>:
>>
>>> If you have a few minutes to look it over, I'd really appreciate some
>>> feedback as I add the finishing touches this week.  Also, as there's no
>>> way I'll get through all of it in a two hour tutorial, I'd like feedback
>>> on which parts you think I should focus on!
>>>
>>
>> Looks nice!
>>
>> Any reason not to use the sklearn.metrics module for evaluation?
>>
>> In "2.3.5.2. A Simple Method: Decision Tree Regression" you announce
>> an NN method, but then actually use a decision tree.
>>
>>
>
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-- 
Peter Prettenhofer

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