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1. Suppose the following historic data is available that can be used to predict if someone would repay their loan. Name Sam Tim Ann Jim Has Owns House Job 1 1 0 0 110 0 Drinker 1 0 0 1 Repays Loan

1. Suppose the following historic data is available that can be used to predict if someone would repay their loan. Name Sam Tim Ann Jim Has Owns House Job 1 1 0 0 110 0 Drinker 1 0 0 1 Repays Loan

FINANCIAL ACCOUNTING
FINANCIAL ACCOUNTING
10th Edition
ISBN:9781259964947
Author:Libby
Publisher:Libby
Chapter1: Financial Statements And Business Decisions
Section: Chapter Questions
Problem 1Q
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1. Suppose the following historic data is available that can be used to predict if someone would repay their loan. Owns Has Repays Loan Name House Job Drinker Sam 1 1 Tim 1 Ann 1 Jim Design and describe a linear classifier model by hand for the given loan dataset to predict if someone would repay a loan or not. What is the classification accuracy of your classifier? No program needed. Apply gradient descent on LMSE to update weights, show accuracy before and after the update. Pick an appropriate learning rate.
Transcribed Image Text:1. Suppose the following historic data is available that can be used to predict if someone would repay their loan. Owns Has Repays Loan Name House Job Drinker Sam 1 1 Tim 1 Ann 1 Jim Design and describe a linear classifier model by hand for the given loan dataset to predict if someone would repay a loan or not. What is the classification accuracy of your classifier? No program needed. Apply gradient descent on LMSE to update weights, show accuracy before and after the update. Pick an appropriate learning rate.
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