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 levles): (low, midle_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 weights? O a. 85 O b. 30 O c. 91 O d. 36
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 levles): (low, midle_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 weights? O a. 85 O b. 30 O c. 91 O d. 36
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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