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[1]
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[2]
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On February 13, 2015 8:46:32 AM PST, ayane <celestialxangel at
hotmail.com> wrote:>Hey everyone,
>
>I just started learning R and statistics. I made association rules with
>the apriori algorithm in the arules package. I sorted them and pruned
>them. But now I want to validate/test them. In supervised learning they
>use cross validation. In this paper by Patrick O Perry
>http://arxiv.org/abs/0909.3052 I read it is possible to use cross
>validation on unsupervised learning methods (such as arules). But since
>my background in R, statistics and machine learning is weak the paper
>was quite hard to get through (also I'm not in college, I just finished
>high school and am preparing to study computer sciencec).
>
>So my question is, how do you validate your rules? How can you use
>cross validation to do so? I have my main data set "Orders", it
has 2
>million records. I used the sample function to make a training data set
>and a test data set. But what do I do next? Are there other techniques
>I should know of?
>
>If there are any specific tutorials on this subject, I would also love
>to learn from them.
>
>Kind regards,
>Ayane
> [[alternative HTML version deleted]]
>
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