Data Mining

please open the 2 attached files and make sure that you can solve all the question 100% correct . i think some question need to use XLE file and others Word file .i will uploaded one xle file later because it can not be loaded in this website . i can share it with email. it will be about student batabase
comp32019_assignment.pdf

comp32019_assignment.pdf

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Faculty of Computing and Information technology
Assignment 1
COURSE CODE
COMP3209
:????????????????? ????????????????
COURSE TITLE
Data Mining
:???????????????? ??????????????????
LEVEL/SEMESTER
One/S2
:?????? ????????/?????????
ACADEMIC YEAR
2017 -2018
:?????????????? ???????????????????
EXAM DATE
:?????????????? ?????????
EXAM TIME
:?????????? ?????????
DURATION
:???????????? ?????????
MAXIMUM MARK
COURSE
COORDINATOR
100 (Wight 20%)
:??????????? ????????????????
Sanad AL Maskari
:???????????? ??????????????????
????????? ???????
STUDENT NAME
SECTION
NO
???? ?????????
STUDENT ID
?????? ?????????
INSTRUCTIONS TO CANDIDATES
? This assignment consists of 7 questions
? Answer all questions.
? Write your ID, NAME and GROUP NUMBER
clearly on your final submission.
? You must upload your final answers to
SULMS.
1
COMP32109
Sanad AL Maskari
Learning Objectives:
1. Apply various data mining methods and tools for knowledge discovery and decisionmaking.
2. Critique and interpret the results of data mining experiments.
3. Compare data mining algorithms and their performance.
4. Identify and discuss the concepts of data mining and knowledge discovery.
In this assignment, you are required to do the following tasks:
1. Download student performance data set from SULMS. In one paragraph, describe this
dataset.
2. Inspect this dataset and identify if any outliers exist. Justify your answer. [5 marks]
3. Create a plot showing
a. Average study time Male vs Female. [10 marks]
b. Average travel time Male vs Female. [10 marks]
c. Average grade Male vs Female. [10 marks]
d. Average failure Male vs Female. [10 marks]
e. Total pass and fail. The chart should show total number of students who has
pass grade and fail grade. Fail grad is < 11 else pass. [10 marks] f. Create a scatter plot to show if there is a correlation between the age and grade. Summarize your findings. [ 10 marks] 4. Create a classification model to classify students into two groups (fail and pass). Compare between at least three different classifiers. [10 marks] 5. Create testing set to evaluate your classifiers. [ 5 marks] 6. Provide a detailed analysis about your results. a. Describe each classifier you used. Not more than one paragraph per classifier. [9 marks] b. Describe which classifier performed the best. Justify your answer. Explain the weakness and strength of the classifiers you selected for this type of data. [6 marks] 7. Write a conclusion (at most 2 paragraphs) summarizing the most important findings of the assignment; in particular, address the data analysis and results obtained from your prediction. [5 marks] 2 COMP32109 Sanad AL Maskari Faculty of Computing and Information technology Assignment 1 COURSE CODE COMP3209 :????????????????? ???????????????? COURSE TITLE Data Mining :???????????????? ?????????????????? LEVEL/SEMESTER One/S2 :?????? ????????/????????? ACADEMIC YEAR 2017 -2018 :?????????????? ??????????????????? EXAM DATE :?????????????? ????????? EXAM TIME :?????????? ????????? DURATION :???????????? ????????? MAXIMUM MARK COURSE COORDINATOR 100 (Wight 20%) :??????????? ???????????????? Sanad AL Maskari :???????????? ?????????????????? ????????? ??????? STUDENT NAME SECTION NO ???? ????????? STUDENT ID ?????? ????????? INSTRUCTIONS TO CANDIDATES ? This assignment consists of 7 questions ? Answer all questions. ? Write your ID, NAME and GROUP NUMBER clearly on your final submission. ? You must upload your final answers to SULMS. 1 COMP32109 Sanad AL Maskari Learning Objectives: 1. Apply various data mining methods and tools for knowledge discovery and decisionmaking. 2. Critique and interpret the results of data mining experiments. 3. Compare data mining algorithms and their performance. 4. Identify and discuss the concepts of data mining and knowledge discovery. In this assignment, you are required to do the following tasks: 1. Download student performance data set from SULMS. In one paragraph, describe this dataset. 2. Inspect this dataset and identify if any outliers exist. Justify your answer. [5 marks] 3. Create a plot showing a. Average study time Male vs Female. [10 marks] b. Average travel time Male vs Female. [10 marks] c. Average grade Male vs Female. [10 marks] d. Average failure Male vs Female. [10 marks] e. Total pass and fail. The chart should show total number of students who has pass grade and fail grade. Fail grad is < 11 else pass. [10 marks] f. Create a scatter plot to show if there is a correlation between the age and grade. Summarize your findings. [ 10 marks] 4. Create a classification model to classify students into two groups (fail and pass). Compare between at least three different classifiers. [10 marks] 5. Create testing set to evaluate your classifiers. [ 5 marks] 6. Provide a detailed analysis about your results. a. Describe each classifier you used. Not more than one paragraph per classifier. [9 marks] b. Describe which classifier performed the best. Justify your answer. Explain the weakness and strength of the classifiers you selected for this type of data. [6 marks] 7. Write a conclusion (at most 2 paragraphs) summarizing the most important findings of the assignment; in particular, address the data analysis and results obtained from your prediction. [5 marks] 2 COMP32109 Sanad AL Maskari ... Purchase answer to see full attachment

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