The objective of the project (you may use an introduction section to describe it).
business
Description
ITM
618: Business Intelligence and Analytics
Bank
Marketing
Deliverables
1-
Your programs (.R files) for
this project.
2-
A report that contains (pdf):
a) The
objective of the project (you may use an introduction section to describe it).
b) What
learning method(s) (in RStudio) you use to learn the model(s), and the testing
results of the learned model(s) on the test data (such as classification
accuracy or ROC curve).
c) Any
discussion and conclusion that you find during from the project.
3-
Overview Slides (made with PowerPoint but converted to pdf for submission – I will attach a
template for this!!!)
a) The
slides should present an overview of the project. You can have up to 10 slides.
You can find the slide template I attached.
How to hand in:
1)
Overview Slides (as
a PDF file),
2) Project
Report (as a PDF file),
3) R
program (as a .txt file)
The problem is related to direct
marketing campaigns (phone calls) of a Portuguese banking institution. The classification
goal is to predict whether the client subscribes a term deposit or not. The
target class is the last attribute (subscribed) and has two values (yes
and no).
The
training set (trainset.csv) contains 3,196 subscribed and 26,076 unsubscribed
records. The test set (testSet.csv) contains 1,444 subscribed and 1,047
unsubscribed records.
Attribute Information:
1. age
(numeric)
2. job: type of
job (categorical: 'admin.','blue-collar', 'entrepreneur', 'housemaid', 'management',
'retired','self-employed', 'services', 'student', 'technician', 'unemployed', 'unknown')
3. marital:
marital status (categorical: 'divorced','married','single','unknown'; note:
'divorced' means divorced or widowed)
4. education:
(categorical: 'basic.4y', 'basic.6y', 'basic.9y',
'high.school', 'illiterate', 'professional.course', 'university.degree', 'unknown')
5. housing: has
housing loan? (categorical: 'no','yes','unknown')
6. loan: has
personal loan? (categorical: 'no','yes','unknown')
7.
contact: contact communication type (categorical:
'cellular','telephone')
8. month: last
contact month of year (categorical: 'jan', 'feb', 'mar', ..., 'nov', 'dec')
9. day_of_week:
last contact day of the week (categorical: 'mon','tue','wed','thu','fri')
