The mean of error (ME) is defined by, 1 n =/([^² e) = = = [₁ (True values Predicted values). n n 1 The Mean Absolute Error or MAE is defined by, ΜΕ == MAE 1 == MSE n in n Σleel) ==|True values - Predicted values. 1 n 1 3 Mean Squared Error or MSE is defined by, tant In n == 1/2 [ ^ (e₁²) = =-=["( n n (True values - Predicted values)²

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Calculate these relationships in red (1,2,3,4 ) for this data
Months Actual values Forecasting
values
1
2
3.
4
5
6
7
8
138
136
152
127
151
130
119
153
ال ۱۸۰۱
150.25
139.50
157.25
143.50
138.00
127.50
138.25
141.50
Tell
11
Transcribed Image Text:Months Actual values Forecasting values 1 2 3. 4 5 6 7 8 138 136 152 127 151 130 119 153 ال ۱۸۰۱ 150.25 139.50 157.25 143.50 138.00 127.50 138.25 141.50 Tell 11
The mean of error (ME) is defined by,
1 In
= = = ([^² e) = = = [₁
==
n
n
1
ΜΕ
The Mean Absolute Error or MAE is defined by,
MAE =
1
-
n
1
==
13 Mean Squared Error or MSE is defined by,
important
MSE
n
(True values - Predicted values).
Σ-Σ
[leel) == "True values – Predicted values].
n
Σ₁ (₁²) =
1
n
n
(True values – Predicted values)².
The Root Mean Squared Error or RMSE is defined by,
Transcribed Image Text:The mean of error (ME) is defined by, 1 In = = = ([^² e) = = = [₁ == n n 1 ΜΕ The Mean Absolute Error or MAE is defined by, MAE = 1 - n 1 == 13 Mean Squared Error or MSE is defined by, important MSE n (True values - Predicted values). Σ-Σ [leel) == "True values – Predicted values]. n Σ₁ (₁²) = 1 n n (True values – Predicted values)². The Root Mean Squared Error or RMSE is defined by,
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