ITM 618: Business Intelligence and Analytics

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ITM 618: Business Intelligence and Analytics

Bank Marketing

Deliverables

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1-      Your programs (.R files) for this project.

2-      A report that contains (pdf):

  1. a)The objective of the project (you may use an introduction section to describe it).
  2. 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).
  3. 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!!!)

  1. 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’)
 
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