16 May Attached you will find the following Assignment 10, which is basically the main questions ; and the following documents are the Data used to solve
PLEASE READ CAREFULLY BEFORE ACCEPTING & CHECK THE ATTACHED.
Attached you will find the following Assignment 10, which is basically the main questions ; and the following documents are the Data used to solve :
1- Automobile…
2- CreditRiskD…
3- Collegesand….
However, I have tried to solve the problem and it seems that I got something wrong, primarily Question 2, the instructor mentioned discriminant Analysis.
You will find my solution in ( ALLTASK file )
Please check and adjust the problem.
Chapter 10 Data Mining
Instructions: Please submit your work in one single Excel file with one tab/worksheet for each problem.
Cluster Analysis
1. (25 points) Apply single linkage cluster analysis to Berkeley, Cal Tech, UCLA, and UNC in the Excel file Colleges and Universities Cluster Analysis Worksheet and draw a dendrogram illustrating the clustering process.
Classification
2. In the Excel file Credit Risk Data, classify the following record:
a. (25 points) Using k-NN algorithm for k=1 to 5.
b. (25 points) Using discriminant analysis.
Association
3. (25 points) The Excel file Automobile Options provides data on options ordered together for a particular model of automobile. Consider the following rules:
a. Rule 1: If Fastest Engine, then Traction Control.
b. Rule 2: If Faster Engine and 16-inch Wheels, then 3 Year Warranty.
Compute the support, confidence, and lift for each of these rules.
,
Auto Market Basket
Automobile Options | ||||||||||||||
Engine | Warranty | Wheels | Sound System | Other Options | ||||||||||
Slower Engine | Faster engine | fastest engine | no warranty | 3 year warranty | 5 year warranty | 15 inch | 16 inch | alloy | am/fm | amfm/dvd | premium | Sunroof | Traction Control | |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | |
0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | |
0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | |
0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | |
1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |
1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | |
0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | |
0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | |
0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | |
0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | |
0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | |
0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | |
1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |
0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | |
0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | |
1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |
1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | |
0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | |
0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | |
0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | |
1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | |
0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | |
0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | |
0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | |
0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | |
0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | |
0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | |
0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 |
,
Base Data
Credit Risk Data | |||||||||||
Loan Purpose | Checking | Savings | Months Customer | Months Employed | Gender | Marital Status | Age | Housing | Years | Job | Credit Risk |
Small Appliance | $0 | $739 | 13 | 12 | M | Single | 23 | Own | 3 | Unskilled | Low |
Furniture | $0 | $1,230 | 25 | 0 | M | Divorced | 32 | Own | 1 | Skilled | High |
New Car | $0 | $389 | 19 | 119 | M | Single | 38 | Own | 4 | Management | High |
Furniture | $638 | $347 | 13 | 14 | M | Single | 36 | Own | 2 | Unskilled | High |
Education | $963 | $4,754 | 40 | 45 | M | Single | 31 | Rent | 3 | Skilled | Low |
Furniture | $2,827 | $0 | 11 | 13 | M | Married | 25 | Own | 1 | Skilled | Low |
New Car | $0 | $229 | 13 | 16 | M | Married | 26 | Own | 3 | Unskilled | Low |
Business | $0 | $533 | 14 | 2 | M | Single | 27 | Own | 1 | Unskilled | Low |
Small Appliance | $6,509 | $493 | 37 | 9 | M | Single | 25 | Own | 2 | Skilled | High |
Small Appliance | $966 | $0 | 25 | 4 | F | Divorced | 43 | Own | 1 | Skilled | High |
Business | $0 | $989 | 49 | 0 | M | Single | 32 | Rent | 2 | Management | High |
New Car | $0 | $3,305 | 11 | 15 | M | Single | 34 | Rent | 2 | Unskilled | Low |
Business | $322 | $578 | 10 | 14 | M | Married | 26 | Own | 1 | Skilled | Low |
New Car | $0 | $821 | 25 | 63 | M | Single | 44 | Own | 1 | Skilled | High |
New Car | $396 | $228 | 13 | 26 | M | Single | 46 | Own | 3 | Unskilled | Low |
Used Car | $0 | $129 | 31 | 8 | M | Divorced | 39 | Own | 4 | Management | Low |
Furniture | $652 | $732 | 49 | 4 | F | Divorced | 25 | Own | 2 | Skilled | High |
New Car | $708 | $683 | 13 | 33 | M | Single | 31 | Own | 2 | Skilled | Low |
Repairs | $207 | $0 | 28 | 116 | M | Single | 47 | Own | 4 | Skilled | Low |
Education | $287 | $12,348 | 7 | 2 | F | Divorced | 23 | Rent | 2 | Skilled | High |
Furniture | $0 | $17,545 | 34 | 16 | F | Divorced | 22 | Own | 4 | Skilled | High |
Furniture | $101 | $3,871 | 13 | 5 | F | Divorced | 26 | Rent | 4 | Skilled | High |
Furniture | $0 | $0 | 25 | 23 | M | Married | 19 | Own | 4 | Skilled | High |
Furniture | $0 | $485 | 37 | 23 | F | Divorced | 27 | Own | 2 | Management | High |
New Car | $0 | $10,723 | 11 | 15 | M | Single | 39 | Rent | 2 | Unskilled | Low |
Business | $141 | $245 | 22 | 33 | M | Single | 26 | Own | 3 | Skilled | Low |
Used Car | $0 | $0 | 19 | 58 | M | Single | 50 | Other | 4 | Skilled | High |
Used Car | $2,484 | $0 | 49 | 46 | M | Single | 34 | Other | 1 | Skilled | Low |
Small Appliance | $237 | $236 | 37 | 24 | M | Single | 23 | Rent | 4 | Skilled | Low |
Small Appliance | $0 | $485 | 19 | 12 | M | Single | 23 | Own | 2 | Skilled | Low |
Education | $335 | $1,708 | 37 | 7 | M | Single | 46 | Other | 4 | Skilled | High |
Small Appliance | $3,565 | $0 | 31 | 32 | M | Single | 35 | Own | 3 | Skilled | Low |
Small Appliance | $0 | $407 | 13 | 2 | F | Divorced | 28 | Own | 2 | Skilled | Low |
Business | $16,647 | $895 | 16 | 34 | M | Single | 25 | Rent | 4 | Skilled | Low |
Business | $0 | $150 | 49 | 46 | F | Divorced | 36 | Rent | 4 | Skilled | High |
Small Appliance | $0 | $490 | 5 | 41 | M | Single | 41 | Own | 1 | Unskilled | Low |
Furniture | $0 | $162 | 25 | 1 | M | Divorced | 54 | Own | 1 | Skilled | High |
Small Appliance | $940 | $715 | 9 | 40 | F | Divorced | 43 | Own | 2 | Unskilled | Low |
Small Appliance | $0 | $323 | 49 | 42 | M | Married | 33 | Own | 1 | Skilled | High |
New Car | $0 | $128 | 13 | 74 | M | Single | 34 | Own | 3 | Skilled | High |
Other | $218 | $0 | 49 | 0 | M | Single | 39 | Other | 4 | Unemployed | Low |
Used Car | $0 | $109 | 25 | 26 | M | Single | 34 | Own | 3 | Unskilled | Low |
Small Appliance | $16,935 | $189 | 37 | 60 | M | Single | 30 | Own | 2 | Skilled | Low |
Furniture | $664 | $537 | 31 | 33 | M | Single | 48 | Own | 2 | Skilled | High |
Furniture | $150 | $6,520 | 12 | 1 | F | Divorced | 19 | Own | 1 | Skilled | Low |
Small Appliance | $0 | $138 | 7 | 119 | M | Married | 29 | Rent | 2 | Skilled | Low |
Furniture | $216 | $0 | 19 | 3 | F | Divorced | 26 | Rent | 3 | Skilled | High |
New Car | $0 | $660 | 17 | 75 | M | Single | 42 | Rent | 4 | Skilled | High |
Business | $0 | $724 | 25 | 8 | M | Single | 30 | Rent | 2 | Skilled | High |
Small Appliance | $0 | $897 | 19 | 5 | M | Married | 38 | Own | 4 | Skilled | Low |
Small Appliance | $265 | $947 | 25 | 5 | M | Married | 21 | Own | 1 | Skilled | High |
Furniture | $4,256 | $0 | 16 | 36 | F | Divorced | 32 | Rent | 4 | Unskilled | Low |
Business | $870 | $917 | 28 | 6 | M | Single | 35 | Own | 2 | Skilled | High |
New Car | $162 | $595 | 22 | 10 | M | Divorced | 46 | Own | 4 | Skilled | Low |
Used Car | $0 | $789 | 25 | 28 | M | Single | 37 | Own | 3 | Management | Low |
Education | $0 | $0 | 37 | 114 | M | Single | 39 | Own | 4 | Management | High |
Furniture | $0 | $746 | 13 | 16 | F | Divorced | 29 | Own | 3 | Skilled | Low |
New Car | $461 | $140 | 19 | 32 | M | Single | 27 | Rent | 3 | Unskilled | Low |
New Car | $0 | $659 | 19 | 5 | F | Divorced | 22 | Rent | 3 | Skilled | High |
Furniture | $0 | $717 | 37 | 60 | M | Single | 40 | Own | 2 | Skilled | High |
New Car | $0 | $667 | 29 | 10 | M | Single | 44 | Own | 2 | Unskilled | High |
New Car | $580 | $0 | 11 | 8 | M | Single | 26 | Own | 4 | Unskilled | High |
Small Appliance | $0 | $763 | 13 | 46 | F | Divorced | 57 | Own | 3 | Unskilled | Low |
New Car | $0 | $1,366 | 19 | 17 | M | Single | 34 | Own | 4 | Unskilled | Low |
Small Appliance | $0 | $552 | 25 | 4 | M | Married | 47 | Own | 4 | Skilled | High |
Small Appliance | $0 | $14,643 | 16 | 115 | M | Single | 46 | Own | 3 | Skilled | Low |
Business | $758 | $2,665 | 13 | 31 | M | Single | 38 | Own | 4 | Unskilled | Low |
Used Car | $399 | $0 | 31 | 0 | F | Divorced | 52 | Own | 1 | Management | High |
Furniture | $513 | $442 | 7 | 0 | M | Single | 34 | Own | 1 | Management | Low |
Furniture | $0 | $8,357 | 25 | 5 | M | Single | 29 | Other | 4 | Skilled | High |
New Car | $0 | $0 | 22 | 9 | M | Single | 39 | Own | 2 | Unskilled | High |
Small Appliance | $565 | $863 | 10 | 81 | M | Single | 36 | Own | 4 | Unskilled | Low |
Business | $0 | $322 | 28 | 28 | M | Single | 25 | Own | 4 | Skilled | Low |
Furniture | $0 | $800 | 13 | 69 | M | Single | 59 | Own | 3 | Skilled | High |
Small Appliance | $0 | $656 | 37 | 85 | M | Single | 27 | Own | 2 | Skilled | Low |
New Car | $166 | $922 | 13 | 2 | F | Divorced | 24 | Rent | 1 | Skilled | High |
Business | $9,783 | $885 | 13 | 3 | F | Divorced | 25 | Own | 1 | Unemployed | High |
Business | $674 | $2,886 | 49 | 32 | M | Single | 29 | Own | 2 | Skilled | Low |
Repairs | $0 | $626 | 43 | 0 | M | Single | 64 | Own | 4 | Unemployed | Low |
Business | $15,328 | $0 | 25 | 9 | M | Single | 31 | Own | 4 | Skilled | Low |
New Car | $0 | $904 | 12 | 6 | M | Single | 38 | Own | 4 | Unskilled | Low |
Education | $713 | $784 | 61 | 17 | M | Single | 41 | Other | 4 | Skilled | High |
New Car | $0 | $806 | 19 | 3 | F | Divorced | 22 | Own | 2 | Unskilled | High |
Education | $0 | $3,281 | 19 | 20 | F | Divorced | 29 | Own | 2 | Skilled | High |
New Car | $0 | $759 | 16 | 59 | M | Single | 32 | Rent | 3 | Skilled | High |
Small Appliance | $0 | $680 | 25 | 3 | F | Divorced | 34 | Own | 4 | Skilled | High |
Used Car | $0 | $104 | 37 | 25 | M | Single | 23 | Own | 4 | Skilled | High |
Small Appliance | $303 | $899 | 13 | 3 | M | Single | 21 | Own | 1 | Skilled | High |
Small Appliance | $900 | $1,732 | 37 | 11 | F | Divorced | 49 | Other | 4 | Skilled | High |
Furniture | $0 | $706 | 31 | 14 | M | Divorced | 31 | Own | 2 | Skilled | Low |
Education | $1,257 | $0 | 10 | 65 | F | Divorced | 40 | Rent | 4 | Unskilled | Low |
Small Appliance | $0 | $576 | 7 | 14 | F | Divorced | 28 | Own | 1 | Skilled | Low |
Repairs | $273 | $904 | 7 | 2 | M | Married | 21 | Own | 1 | Unskilled | Low |
Business | $522 | $194 | 25 | 79 | M | Divorced | 30 | Own | 4 | Skilled | High |
Small Appliance | $0 | $710 | 25 | 1 | F | Divorced | 37 | Own | 3 | Skilled | Low |
Small Appliance | $0 | $5,564 | 25 | 93 | M | Single | 33 | Own | 2 | Skilled | Low |
Small Appliance | $0 | $192 | 46 | 13 | M | Single | 22 | Other | 4 | Skilled | High |
New Car | $0 | $637 | 13 | 21 | F | Divorced | 23 | Own | 2 | Unskilled | High |
Small Appliance | $514 | $405 | 49 | 13 | F | Divorced | 21 | Own | 2 | Skilled | High |
Furniture | $457 | $318 | 19 | 108 | M | Single | 40 | Own | 1 | Skilled | Low |
Small Appliance | $5,133 | $698 | 19 | 14 | M | Single | 36 | Own | 2 | Skilled | High |
New Car | $0 | $369 | 10 | 16 | M | Single | 29 | Own | 1 | Skilled | Low |
Retraining | $644 | $0 | 13 | 88 | M | Single | 37 | Own | 4 | Skilled | Low |
Furniture | $305 | $492 | 19 | 1 | F | Divorced | 26 | Own | 1 | Skilled | Low |
New Car | $9,621 | $308 | 25 | 41 | M | Single | 37 | Other | 3 | Skilled | High |
Education | $0 | $127 | 13 | 22 | M | Single | 39 | Rent | 4 | Unskilled | High |
Business | $0 | $565 | 19 | 14 | M | Married | 27 | Own | 2 | Skilled | High |
Furniture | $0 | $12,632 | 16 | 9 | F | Divorced | 19 | Rent | 4 | Skilled | Low |
New Car | $0 | $116 | 49 | 45 | M | Single | 45 | Other | 4 | Skilled | High |
Used Car | $0 | $178 | 13 | 89 | M | Single | 34 | Other | 4 | Skilled | High |
Small Appliance | $6,851 | $901 | 13 | 21 | F | Divorced | 43 | Rent | 2 | Unskilled | Low |
Furniture | $13,496 | $650 | 19 | 20 | M | Single | 33 | Own | 1 | Unskilled | High |
Business | $509 | $241 | 25 | 14 | M | Single | 35 | Own | 4 | Unskilled | High |
Used Car | $0 | $609 | 37 | 6 | M | Single | 31 | Other | 2 | Management | Low |
Furniture | $19,155 | $131 | 25 | 24 | M | Single | 25 | Own | 2 | Skilled | Low |
Furniture | $0 | $544 | 19 | 15 | F | Divorced | 27 | Own | 2 | Skilled | Low |
Small Appliance | $0 | $10,853 | 25 | 81 | F | Divorced | 56 | Rent | 4 | Management | Low |
Used Car | $374 | $0 | 25 | 14 | M | Single | 45 | Own | 4 | Management | Low |
Large Appliance | $0 | $409 | 49 | 15 | M | Single | 53 | Own | 4 | Skilled | High |
Furniture | $828 | $391 | 9 | 12 | F | Divorced | 23 | Own | 4 | Skilled | High |
Furniture | $0 | $322 | 13 | 9 | F | Divorced | 25 | Own | 1 | Skilled | Low |
Small Appliance | $829 | $583 | 7 | 18 | F | Divorced | 63 | Own | 3 | Skilled | Low |
Small Appliance | $0 | $12,242 | 25 | 53 | M | Single | 34 | Own | 2 | Skilled | High |
Furniture | $0 | $479 | 19 | 0 | M | Single | 24 | Own | 1 | Unemployed | High |
New Car | $939 | $496 | 19 | 56 | M | Single | 35 | Own | 4 | Skilled | High |
New Car | $0 | $466 | 25 | 42 | M | Single | 30 | Own | 3 | Skilled | High |
New Car | $889 | $1,583 | 37 | 79 | M | Single | 29 |