Develop a simple linear regression model (univariate model) using gradient descent method for experience-salary datasets as it is shown on the following table. Once you got the model, check how close the predicted values against the ground truth and calculate the total error (mean square error) and the accuracy R^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
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Develop a simple linear regression model (univariate model) using gradient descent method for experience-salary datasets as it is shown on the following table. Once you got the model, check how close the predicted values against the ground truth and calculate the total error (mean square error) and the accuracy R^2.

Experience
Salary ($)
Predicted
No
1
0.5
2500
2
0.0
2250
3
1.0
2750
4
5.0
8000
?
5
8.0
9000
6
4.0
6900
7
15.0
20000
8
7.0
8500
9
3.0
6000
10
2.0
3500
11
12.0
15000
12
10.0
13000
13
14.0
18000
?
14
6.0
7500
?
Transcribed Image Text:Experience Salary ($) Predicted No 1 0.5 2500 2 0.0 2250 3 1.0 2750 4 5.0 8000 ? 5 8.0 9000 6 4.0 6900 7 15.0 20000 8 7.0 8500 9 3.0 6000 10 2.0 3500 11 12.0 15000 12 10.0 13000 13 14.0 18000 ? 14 6.0 7500 ?
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