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In this question you are asked to explore the WEKA machine learning toolkit, a copy of which is included in the supplementary material which can be downloaded from the VLE. Download the datasets-UCI.jar data set from the WEKA website, and select three problems from the data set and three classification methods from those available in WEKA. Run each method on each problem (i.e., run nine different combinations of method and problem), and obtain data describing the method’s performance on each problem. You may wish to vary each method’s parameters to improve its performance. Make use of all available resources (including the Internet, and the WEKA documentation) as necessary to help you understand the various options and parameters in WEKA. Submit a written document describing the data sets, listing the methods used, and describing their performance on each data set. Your mark will depend significantly on how well your results are explained and presented – be clear and concise.

Question 1: Machine Learning
In this question you are asked to explore the WEKA machine learning toolkit, a
copy of which is included in the supplementary material which can be downloaded
from the VLE.
Download the datasets-UCI.jar data set from the WEKA website, and select three problems from the data set and three classification methods from those
available in WEKA. Run each method on each problem (i.e., run nine different
combinations of method and problem), and obtain data describing the method’s
performance on each problem. You may wish to vary each method’s parameters to
improve its performance.
Make use of all available resources (including the Internet, and the WEKA documentation) as necessary to help you understand the various options and parameters
in WEKA. Submit a written document describing the data sets, listing the methods
used, and describing their performance on each data set. Your mark will depend
significantly on how well your results are explained and presented – be clear and
concise.
[40]
Question 2: Social and Ethical Issues
Google introduced a wearable camera and display device called Google Glass in
2012. Glass can be used to record videos, display information, and access the
internet (among other things) while a user goes about their daily lives.
a) Write an overview of Google Glass. Explain how the need to make a user
comfortable and the device itself unobtrusive impacted its design. (Recommended
word count: 300 words.)
[10]
b) In June 2013 Google announced that it will not allow applications or services
that perform facial recognition to run on Glass. Discuss the privacy concerns underlying this move, and explain whether or not you think it is likely to be effective.
(Recommended word count: 750 words.)
[30]
c) Some businesses have already stated that they will deny admission to customers
wearing Glass. Compare and contrast this with some businesses refusing to serve
customers while they are using a cell phone. What are the concerns underlyingeach case? Which do you think is more serious? (Recommended word count: 500
words.)
[20]
Your submission should consist of a single .zip file uploaded to the VLE, containing
your written answers (in PDF format, if possible) as two separate files (one for each
question). Please name the files so that it is obvious which question they address.

 

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