There are four questions related to the same scenario in the test presented in random order. Consider a classification problem of a online customer as follows Predicted (output) variable is buy food or not (has two distinct values as yes and no). Input variables are: total food spending last year, age of the customer, categorical (3 levels): (young, middle, old) yearly income of customer, categorical (5 levels): (low, middle_low, middle, high_middle, high) marital status of the customer (marital status has four distinct values), customers occupation, (occupation has fife distinct values), Thermometer encoding is used properly. This problem is to be solved by multilayer feedforward neural network with a single hidden layer containing 5 nodes. What is the total number of nodes? O a. 24 Оь. 11 О с. 22 O d. 20

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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There are four questions related to the same scenario in the test presented in random order.
Consider a classification problem of a online customer as follows
Predicted (output) variable is buy food or not (has two distinct values as yes and no).
Input variables are:
total food spending last year,
age of the customer, categorical (3 levels): (young, middle, old)
yearly income of customer, categorical (5 levels): (low, middle_low, middle, high_middle, high)
marital status of the customer (marital status has four distinct values),
customers occupation, (occupation has fife distinct values),
Thermometer encoding is used properly.
This problem is to be solved by multilayer feedforward neural network with a single hidden layer
containing 5 nodes.
What is the total number of nodes?
а.
24
O b. 11
О.
22
O d. 20
Transcribed Image Text:There are four questions related to the same scenario in the test presented in random order. Consider a classification problem of a online customer as follows Predicted (output) variable is buy food or not (has two distinct values as yes and no). Input variables are: total food spending last year, age of the customer, categorical (3 levels): (young, middle, old) yearly income of customer, categorical (5 levels): (low, middle_low, middle, high_middle, high) marital status of the customer (marital status has four distinct values), customers occupation, (occupation has fife distinct values), Thermometer encoding is used properly. This problem is to be solved by multilayer feedforward neural network with a single hidden layer containing 5 nodes. What is the total number of nodes? а. 24 O b. 11 О. 22 O d. 20
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