Hw10 Instructions

User Manual:

Open the PDF directly: View PDF PDF.
Page Count: 1

DownloadHw10 Instructions
Open PDF In BrowserView PDF
HOMEWORK 10

INSTRUCTIONS
•

•
•

Every learner should submit his/her own homework solutions. However, you are allowed to
discuss the homework with each other (in fact, I encourage you to form groups and/or use the
forums) – but everyone must submit his/her own solution; you may not copy someone else’s
solution.
The homework will be peer-graded. In analytics modeling, there are often lots of different
approaches that work well, and I want you to see not just your own, but also others.
The homework grading scale reflects the fact that the primary purpose of homework is learning:
Rating
4

3
2
1
0

Meaning
All correct (perhaps except a
few details) with a deeper
solution than expected
Most or all correct
Not correct, but a reasonable
attempt
Not correct, insufficient effort
Not submitted

Point value
(out of 100)
100

90
75
50
0

Question 14.1
The breast cancer data set breast-cancer-wisconsin.data.txt from
http://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/ (description at
http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Original%29 ) has missing values.
1. Use the mean/mode imputation method to impute values for the missing data.
2. Use regression to impute values for the missing data.
3. Use regression with perturbation to impute values for the missing data.
4. (Optional) Compare the results and quality of classification models (e.g., SVM, KNN) build using
(1) the data sets from questions 1,2,3;
(2) the data that remains after data points with missing values are removed; and
(3) the data set when a binary variable is introduced to indicate missing values.
Question 15.1
Describe a situation or problem from your job, everyday life, current events, etc., for which optimization
would be appropriate. What data would you need?
Source Exif Data: 
File Type                       : PDF
File Type Extension             : pdf
MIME Type                       : application/pdf
PDF Version                     : 1.7
Linearized                      : No
Page Count                      : 1
Language                        : en-US
Tagged PDF                      : Yes
XMP Toolkit                     : 3.1-701
Producer                        : Microsoft® Word for Office 365
Creator                         : Wirth, Fatimah
Creator Tool                    : Microsoft® Word for Office 365
Create Date                     : 2018:10:25 01:23:29-04:00
Modify Date                     : 2018:10:25 01:23:29-04:00
Document ID                     : uuid:A8DB5123-8F49-4474-AC3F-A006C3507180
Instance ID                     : uuid:A8DB5123-8F49-4474-AC3F-A006C3507180
Author                          : Wirth, Fatimah
EXIF Metadata provided by EXIF.tools

Navigation menu