MITS5509 Assignment 3 MITS5509 Intelligent Systems for Analytics Assignment 3 MITS5509 Assignment 3 2 Copyright © XXXXXXXXXXVIT, All Rights Reserved. NOTE: This Document is used in conjunction with...

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MITS5509 Assignment 3



MITS5509
Intelligent Systems for Analytics
Assignment 3



MITS5509 Assignment 3
2 Copyright © XXXXXXXXXXVIT, All Rights Reserved.
NOTE: This Document is used in conjunction with MITS5509


Objective(s)
This assessment item relates to the unit learning outcomes as in the unit descriptor. This assessment is
designed to improve student collaborative skills in a team environment and to give students experience
in constructing a range of documents as deliverables form different stages of the Intelligent Systems for
Analytics

INSTRUCTIONS

Assignment 3 :- Group Assignment (30 %) and submission at week 12

In this assignment students will work in group of (3-4 students) to develop components of the
Documents discussed in lectures. Student groups should be formed by Session four. Each group needs
to complete the group participation form attached to the end of this document. Assignments will not
be grades unless a group participation form is completed.

Carefully read the following two questions and provide the appropriate answer.

Question 1:
The bankruptcy-prediction problem can be viewed as a problem of classification. The data set you will be
using for this problem includes one ratio that have been computed from the financial statements of
real-world firms. These ratios have been used in studies involving bankruptcy prediction. The first
sample (training set) includes 68 data value on firms that went bankrupt and firms that did not. This
will be your training sample. The second sample (testing set) of 68 firms also consists of some
bankrupt firms and some non-bankrupt firms. Your goal is to use different classifiers to build a
training model, by randomly selecting the 40 data points (20 points from category 1 and 20 points
from category 0), and then test its performance on the testing model by randomly selecting 40 data
points from the testing set. (Try to analyze the new cases yourself manually before you run the
neural network and see how well you do.)
Students has to use the following classifiers. The selection of the classifiers depends upon the
members of the group, e.g. if the group has four members then they will use the four classifiers from
the following five classifiers.
1. Neural network
2. Support vector machine
3. Nearest neighbor algorithm
4. Decision tree
5. Naive Bayes

The following tables show the training sample and test data you should use for this major assignment.
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Training Sample Data


Firm WC Category
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Testing Sample Data


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From the above data set, the group has to prepare a report which include the followings:
1. Explain the process of building each classifier using the training set (add the screenshots).
2. Explain how did you evaluate the classifier.
3. Create the confusion matrix based on 70% (training) / 30% (testing).
4. Predict the category of the values (any random 40 values) in table used for Testing set.
5. Compare the results between the different classifiers and discuss which one is the best and why.

Note: Students can use any open source free data mining software such as Statistica Data Miner, Weka,
RapidMiner, KNIME and MATLAB etc.
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Question 2:
Create a DASHBOARD. For creating a dashboard, the group can use the above database or any other
database. The group has to prepare a report which include the followings:
1. Write an introduction about the dataset used and add the reference (link).
2. Create at least four figures (different graphs) and add them to dashboard.
3. Add Screenshot of each of the steps.
4. Describe the figures in the dashboard.

The student can use any software to create the dashboard such as Microsoft excel, Tableau, etc.
The above list of documents is not necessarily in any order. The chronological order we cover these
topics in lectures is not meant to dictate the order in which you collate these into one coherent
document for your assignment.

Your report must include a Title Page with the title of the Assignment and the name and ID numbers of
all group members. A contents page showing page numbers and titles of all major sections of the report.
All Figures included must have captions and Figure numbers and be referenced within the document.
Captions for figures placed below the figure, captions for tables placed above the table. Include a footer
with the page number. Your report should use 1.5 spacing with a 12 point Times New Roman font.
Include references where appropriate. Citation of sources (if using any) is mandatory and must be in the
Harvard style.

Only one submission is to be made per group. The group should select a member to submit the
assignment by the due date and time. All members of the group will receive the same grade unless
special arrangement is made due to group conflicts. Any conflict should be resolved by the group, but
failing that, please contact your lecture who will then resolve any issues which may involve specific
assignment of work tasks, or removal of group members.

What to Submit

All submissions are to be submitted through turn-it-in. Drop-boxes linked to turn-it-in will be set up in
the Unit of Study Moodle account. Assignments not submitted through these drop-boxes will not be
considered.

Submissions must be made by the due date and time (which will be in the session detailed above) and
determined by your Unit coordinator. Submissions made after the due date and time will be penalized at
the rate of 10% per day (including weekend days).

The turn-it-in similarity score will be used in determining the level if any of plagiarism. Turn-it-in will
check conference web-sites, Journal articles, the Web and your own class member submissions for
plagiarism. You can see your turn-it-in similarity score when you submit your assignment to the
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appropriate drop-box. If this is a concern you will have a chance to change your assignment and re-
submit. However, re-submission is only allowed prior to the submission due
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date and time. After the due date and time have elapsed you cannot make re-submissions and you will
have to live with the similarity score as there will be no chance for changing. Thus, plan early and submit
early to take advantage of this feature. You can make multiple submissions, but please remember we
only see the last submission, and the date and time you submitted will be taken from that submission.

Please Note: All work is due by the due date and time. Late submissions will be penalized at the rate of
10% per day including weekends.
Marking Criteria:
Criteria Max
Create a classifier (every student is the group
must create at least one classifier) 3
Explain the process of creating the classifier 2
Interpreting the results 3
Confusion matrix 3
Used a data mining software 1
Screenshots for each step to build classifier 3
Introduction about the dataset 3
Create at least four figures in the dashboard 4
Screenshot for each step 3
Describe the figures 3
Report format and References 2
Total 30

MITS5509 Assignment 3
Group Participation Form

This form is to be completed by the group and returned to your tutor/lecturer as soon as possible.


We, the undersigned, agree to contribute individually and as a team to complete the Group Assignment for MITS5509 Intelligent Systems for
Analytics in the time specified. (It should be noted that failure to participate in a group may result in a fail for the assignment component of the
subject.)
Group membership:

Surname First name Student ID Date Signature
1. / /
2. / /
3. / /
4. / /


* All members in the team will receive the same mark for an assignment, unless there are extenuating circumstances whereby an
individual’s mark has to be altered by the tutor/lecturer, or if the peer group assessment warrants it.
** Team members should contact their tutor/lecturer immediately if problems arise within the team that may cause completion of an
assignment to be severely delayed, or the quality of the submission to be substantially lowered.
*** No additions or deletions of Team Members from this form allowed unless agreed to by your Instructor
Answered 4 days AfterMay 09, 2021MITS5509

Solution

Shreyan answered on May 12 2021
22 Votes

FULLASSIGNMENT_Intelligent_Systems/Classification problem.ows

















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