Data analysts at Universal bank is building a classification tree to classify its customers into two classes: nonacceptors (class 0) and acceptors (class 1) of personal loan offer. Each customer can be described by a set of attributes, such as age, experience, income, family size, education, average spending on credit cards per month, etc. The data analysts are in the process of identifying the most powerful predictor to split a set of training records (denoted by A). After splitting A with customer's family size, two subsets of records are generated, denoted by A1 and A2 respectively. The number of nonacceptors and acceptors in A, A1, and A2 are given below. A A1 A2 Number of Nonacceptors 352 340 12 Number of Acceptors 223 36 187 Round your answers to 3 digits after the decimal point. The Gini index of A is 0.475 The Gini index of A1 is 0.173 The Gini index of A2 is 0.113 The combined Gini index of A1 and A2 is 0.648 The reduction in Gini index if training records are split using customer's family size is -1.4147

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

i got three wrong but I am not sure which ones

Data analysts at Universal bank is building a classification tree to classify its customers into two
classes: nonacceptors (class 0) and acceptors (class 1) of personal loan offer. Each customer
can be described by a set of attributes, such as age, experience, income, family size,
education, average spending on credit cards per month, etc. The data analysts are in the
process of identifying the most powerful predictor to split a set of training records (denoted by
A). After splitting A with customer's family size, two subsets of records are generated, denoted
by A1 and A2 respectively. The number of nonacceptors and acceptors in A, A1, and A2 are
given below.
А
A1
A2
Number of Nonacceptors
352
340
12
Number of Acceptors
223
36
187
Round your answers to 3 digits after the decimal point.
The Gini index of A is 0.475
The Gini index of A1 is 0.173
The Gini index of A2 is 0.113
The combined Gini index of A1 and A2 is 0.648
The reduction in Gini index if training records are split using customer's family size is
-1.4147
Transcribed Image Text:Data analysts at Universal bank is building a classification tree to classify its customers into two classes: nonacceptors (class 0) and acceptors (class 1) of personal loan offer. Each customer can be described by a set of attributes, such as age, experience, income, family size, education, average spending on credit cards per month, etc. The data analysts are in the process of identifying the most powerful predictor to split a set of training records (denoted by A). After splitting A with customer's family size, two subsets of records are generated, denoted by A1 and A2 respectively. The number of nonacceptors and acceptors in A, A1, and A2 are given below. А A1 A2 Number of Nonacceptors 352 340 12 Number of Acceptors 223 36 187 Round your answers to 3 digits after the decimal point. The Gini index of A is 0.475 The Gini index of A1 is 0.173 The Gini index of A2 is 0.113 The combined Gini index of A1 and A2 is 0.648 The reduction in Gini index if training records are split using customer's family size is -1.4147
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Follow-up Questions
Read through expert solutions to related follow-up questions below.
Follow-up Question

Are you able to assist me with the last two questions?

Solution
Bartleby Expert
SEE SOLUTION
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman