Python Regression a) Model 1: train MSE = 0.423, test MSE = 0.978 Model 2: train MSE = 0.572, test MSE = 0.644 Model 3: train MSE = 0.218, test MSE = 1.103 Based on this information, which of these models generalises the best to unseen data? b) Compare the three models below: Model 1: train MSE = 0.423, test MSE = 0.978 Model 2: train MSE = 0.572, test MSE = 0.644 Model 3: train MSE = 0.218, test MSE = 1.103 Based on this information, which of these models generalises the worst to unseen data? 1)There is no indication of one being worse than the others 2)Model 1 3)Model 3 4)Model 2
Python Regression a) Model 1: train MSE = 0.423, test MSE = 0.978 Model 2: train MSE = 0.572, test MSE = 0.644 Model 3: train MSE = 0.218, test MSE = 1.103 Based on this information, which of these models generalises the best to unseen data? b) Compare the three models below: Model 1: train MSE = 0.423, test MSE = 0.978 Model 2: train MSE = 0.572, test MSE = 0.644 Model 3: train MSE = 0.218, test MSE = 1.103 Based on this information, which of these models generalises the worst to unseen data? 1)There is no indication of one being worse than the others 2)Model 1 3)Model 3 4)Model 2
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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Question
Python
Regression
a)
Model 1: train MSE = 0.423, test MSE = 0.978
Model 2: train MSE = 0.572, test MSE = 0.644
Model 3: train MSE = 0.218, test MSE = 1.103
Based on this information, which of these models generalises the best to unseen data?
b)
Compare the three models below:
Model 1: train MSE = 0.423, test MSE = 0.978
Model 2: train MSE = 0.572, test MSE = 0.644
Model 3: train MSE = 0.218, test MSE = 1.103
Based on this information, which of these models generalises the worst to unseen data?
1)There is no indication of one being worse than the others
2)Model 1
3)Model 3
4)Model 2
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