https://secure.csse.uwa.edu.au/run/help3401?p=np&rss=y
The help3401 RSS feedThe help3401 RSS feedhelp3401https://blogs.law.harvard.edu/tech/rssThe University of Western AustraliaSun, 07 Jun 2020 14:55:36 +0800Sun, 07 Jun 2020 14:55:36 +0800Re: Super Patterns
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=258
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=258Sun, 07 Jun 2020 14:55:36 +0800"Zeyi Wen" <zeyi.wen@uwa.edu.au>According to the definition: "An itemset/pattern is closed if none of its immediate supersets has
the same support as the itemset/pattern", you only need to use immediate super-patterns for
verification.
Re: Super Patterns
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=257
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=257Sun, 07 Jun 2020 00:25:15 +0800ANONYMOUSSo if a question asked us to find closed-patterns would we only look at an itemsets immediate
super patterns? Or all of its super-patterns and apply the rule?
Re: Regarding extension for the project
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=256
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=256Sat, 06 Jun 2020 19:22:26 +0800"Zeyi Wen" <zeyi.wen@uwa.edu.au>That is okay. I will waive the late submission penalty if you submitted before the extended
deadline.
Re: Super Patterns
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=255
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=255Sat, 06 Jun 2020 19:21:09 +0800"Zeyi Wen" <zeyi.wen@uwa.edu.au>Simple answer is yes. If {A, B, D} and {A, B, C, D} are frequent patterns (i.e. support >=
min_sup), they are super-patterns of {B}. People in the community are often more interested
in the "immediate super-patterns" (e.g. {B,C}, {B,D} and {A, B}), because they are more
commonly used for verification (e.g. finding closed patterns).
Super Patterns
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https://secure.csse.uwa.edu.au/run/help3401?p=np&a=254Sat, 06 Jun 2020 00:37:32 +0800ANONYMOUSHello,
In the lecture you go over super-patterns and in the example you say:
For a frequent pattern - {B}
You look at its super-patterns which are 2-itemsets such as - {B,C}, {A,B} and {B,D}
My question is, is a super-pattern only one itemset higher? Or would the super-
patterns for {B} include all frequent patterns that have a itemset higher than 1?
Such as {A,B,D} and {A,B,C,D} and then including the 2-itemsets aswell: {B,C}, {A,B}
and {B,D}.
Thank you
Re: question regarding Gini index
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https://secure.csse.uwa.edu.au/run/help3401?p=np&a=253Fri, 05 Jun 2020 19:03:15 +0800ANONYMOUSsolved
Regarding extension for the project
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=252
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=252Fri, 05 Jun 2020 17:42:20 +0800ANONYMOUSHi! My partner and I applied for extension for the final project, which extended the
due date to 5th June at 4pm. However when I submitted the work on time, cssubmit was
still showing that we have been penalised for late submission.
I wonder is there anything else we need to do to fix this or just ignore it?
Thank you!
question regarding Gini index
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=251
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=251Fri, 05 Jun 2020 17:41:53 +0800"Ao Guan" <21530136@student.uwa.edu.au>I have a question regarding Gini index: in page 24 lecture 9, it says The attribute
provides the smallest GINIsplit(D) should be chosen. But in the following example, we
didn't compute the GINIsplit(D). Instead we straightly chose the one with lowest GiniA(D),
which is (low, med)(high). Shouldn't we use 0.459 - 0.443/0.458/0.45 to get the smallest
GINIsplit(D), in this case (low, high)(medium)?
Re: Can we bring scratch paper and calculators during the exam?
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https://secure.csse.uwa.edu.au/run/help3401?p=np&a=250Thu, 04 Jun 2020 21:34:30 +0800ANONYMOUSSorry, just saw the announcement that we are allowed to bring them
Re: Exam Info - LMS (weighting)
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https://secure.csse.uwa.edu.au/run/help3401?p=np&a=249Thu, 04 Jun 2020 21:17:23 +0800ANONYMOUSRead the last lecture "unit review"
Can we bring scratch paper and calculators during the exam?
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=248
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=248Thu, 04 Jun 2020 21:00:57 +0800ANONYMOUSAs for calculating things like info gain
Exam Info - LMS (weighting)
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https://secure.csse.uwa.edu.au/run/help3401?p=np&a=247Thu, 04 Jun 2020 20:23:56 +0800ANONYMOUSIn the exam info part of LMS it says the exam will consist of content from weeks 1-
12, is there a weighting breakdown i.e 70% lectures 6-12 30% 1-5 or should we just be
studying all lecture content?
Re: working out for equations in exam
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=246
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=246Wed, 03 Jun 2020 18:41:27 +0800"Zeyi Wen" <zeyi.wen@uwa.edu.au>The marks are given for both the final answer and also the process of obtaining the answer.
working out for equations in exam
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=245
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=245Wed, 03 Jun 2020 14:49:17 +0800ANONYMOUSAre we being marked based on working out if we are asked to calculate information gain
etc, or will we be marked purely based on if our answer is correct or not? I.e do we
need to type our working out?
Re: Finals
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https://secure.csse.uwa.edu.au/run/help3401?p=np&a=244Mon, 01 Jun 2020 20:30:52 +0800"Zeyi Wen" <zeyi.wen@uwa.edu.au>You don't need to write code to answer the questions.
Re: Calculating info gain
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https://secure.csse.uwa.edu.au/run/help3401?p=np&a=243Mon, 01 Jun 2020 20:27:16 +0800"Zeyi Wen" <zeyi.wen@uwa.edu.au>Sounds good. I am great that you persist on the problem, and figuring out the solution on your
own--a crucial skill.
Re: Calculating info gain
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https://secure.csse.uwa.edu.au/run/help3401?p=np&a=242Mon, 01 Jun 2020 16:23:14 +0800ANONYMOUSnever mind I had done something wrong in a different part of the equation that wrecked it,
the 0 values had nothing to do with it.
Calculating info gain
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=241
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=241Mon, 01 Jun 2020 15:56:37 +0800ANONYMOUSHi,
When calculating info gain by hand, how do we deal with calculating the entropy for
data that has 0 yes or no values? If I enter a 0 when calculating the log2, I end up
with a math error on my calculator and then can't move forward in the calculations?
For example in the 2019 paper, there are 0 youth that buy computers, and 0 middle aged
not buying a computer. When I use this to calculate the entropy of these I get math
error. Is there something I've missed?
Finals
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https://secure.csse.uwa.edu.au/run/help3401?p=np&a=240Sun, 31 May 2020 09:55:29 +0800ANONYMOUSWould there be any questions need us to write codes in the final? Thanks.
Re: PCA using discrete values
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=239
https://secure.csse.uwa.edu.au/run/help3401?p=np&a=239Sat, 30 May 2020 14:02:52 +0800"Zeyi Wen" <zeyi.wen@uwa.edu.au>You can remove the categorical ones, but you need to explain why you want to do that in
the report.