Omer trained a linear regression model and tested its performance on a test sample of 500 objects. On 400 of those, the model returned a prediction higher than expected by 0.5, and on the remaining 100, the model returned a prediction lower than expected by 0.7. What is the MSE for his model? Limor claims that the linear regression model wasn't trained correctly, and we can do improve it by changing all the answers by a constant value. What will be her MSE? You can assume that Limor found the smallest error under her constraints. Return two values - Omer's and Limor's MSE.

Omer trained a linear regression model and tested its performance on a test sample of 500 objects. On 400 of those, the model returned a prediction higher than expected by 0.5, and on the remaining 100, the model returned a prediction lower than expected by 0.7. What is the MSE for his model? Limor claims that the linear regression model wasn't trained correctly, and we can do improve it by changing all the answers by a constant value. What will be her MSE? You can assume that Limor found the smallest error under her constraints. Return two values - Omer's and Limor's MSE.

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 31EQ

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