logo Use CA10RAM to get 10%* Discount.
Order Nowlogo
(5/5)

Universal Bank is a relatively young bank growing rapidly in terms of overall customer acquisition.

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

Universal Bank is a relatively young bank growing rapidly in terms of overall customer acquisition. The majority of these customers are liability customers depositors) with varying sizes of relationship with the bank. The customer base of asset customers (borrowers) is quite small, and the bank is interested in expanding this base rapidly to bring in more loan business. In particular, it wants to explore ways of converting its liability customers to personal loan customers (while retaining them as depositors).

A campaign that the bank ran last year for liability customers showed a healthy conversion rate of over 9% success. This has encouraged the retail marketing department to devise smarter campaigns with better target marketing. The goal is to use k NN to predict whether a new customer will accept a loan offer. This will serve as the basis for the design of a new campaign. The file UniversalBank.xls contains data on 100 customers. The data include customer demographic information (age, income, etc.), the customer’s relationship with the bank (mortgage, securities account, etc.), and the customer response to the last personal loan campaign (Personal Loan). Among these 100 customers, only 35 (= 35%) accepted the personal loan that was offered to them in the earlier campaign

 

Your task is to:

 

1. Build K NN classifier models using UniversalBankTrainingData.csv file and perform the necessary data cleaning and feature selection processes. Consider k = 1…10, determine which model must be adopted to be used in the bank’s website. For each of these models you need to:

 

A. Save the model file

B. Screenshot the Weka classify window.

 

2. Consider the following new customers:

 

ID=101, Age=48, Experience=23, Income=114, ZIP code=94710, Family=2, CCAvg=3.8, Education 1=0, Education 2=0, Education 3=1, Mortgage=0, Securities Account=1, CD Account=0, Online=0, and Credit Card=0.

 

ID=102, Age=25, Experience=-1, Income=113, Family=4, CCAvg=2.3, Education 1=0, Education 2=0, Education 3=1, Mortgage=0, Securities Account=0, CD Account=0, Online=0 and Credit Card=1.

 

You need to:

C. Create a “UniversalBankNewData.csv” file that includes new customers’ data.

D. How would these customers be classified using the model adopted by the bank’s website?

E. Screenshot the Weka classify window.

Note: Specify the success class as 1 (loan acceptance) and use the default cutoff value of 0.5.

 

 

Submission:

1. You need to submit all the models’ files completed in section A.

2. You need to prepare a single Group_Number.pdf file includes requirements completed in section B, C, and D

 

(5/5)
Attachments:

Related Questions

. Introgramming & Unix Fall 2018, CRN 44882, Oakland University Homework Assignment 6 - Using Arrays and Functions in C

DescriptionIn this final assignment, the students will demonstrate their ability to apply two ma

. The standard path finding involves finding the (shortest) path from an origin to a destination, typically on a map. This is an

Path finding involves finding a path from A to B. Typically we want the path to have certain properties,such as being the shortest or to avoid going t

. Develop a program to emulate a purchase transaction at a retail store. This program will have two classes, a LineItem class and a Transaction class. The LineItem class will represent an individual

Develop a program to emulate a purchase transaction at a retail store. Thisprogram will have two classes, a LineItem class and a Transaction class. Th

. SeaPort Project series For this set of projects for the course, we wish to simulate some of the aspects of a number of Sea Ports. Here are the classes and their instance variables we wish to define:

1 Project 1 Introduction - the SeaPort Project series For this set of projects for the course, we wish to simulate some of the aspects of a number of

. Project 2 Introduction - the SeaPort Project series For this set of projects for the course, we wish to simulate some of the aspects of a number of Sea Ports. Here are the classes and their instance variables we wish to define:

1 Project 2 Introduction - the SeaPort Project series For this set of projects for the course, we wish to simulate some of the aspects of a number of

Ask This Question To Be Solved By Our ExpertsGet A+ Grade Solution Guaranteed

expert
Um e HaniScience

614 Answers

Hire Me
expert
Muhammad Ali HaiderFinance

769 Answers

Hire Me
expert
Husnain SaeedComputer science

804 Answers

Hire Me
expert
Atharva PatilComputer science

928 Answers

Hire Me

Get Free Quote!

322 Experts Online