Table 6 Descriptive statistics of Friedman ANOVA for minimum air temperature forecasting.

From: Air temperature estimation and modeling using data driven techniques based on best subset regression model in Egypt

 

N

Min

Q1

Median

Q3

Max

Actual

10,219

−5.517

7.593

12.616

16.747

24.060

Additive Regression

10,219

2.435

7.615

14.002

16.570

18.859

Random Subspace

10,219

1.662

7.185

12.572

16.654

20.505

Linear Regression

10,219

−3.107

7.621

12.607

16.486

22.437

M5P

10,219

−0.774

7.145

12.743

16.585

22.240

SVM

10,219

−3.166

7.760

12.810

16.691

22.735

  1. N = no of data point, Q1 = first quartile and Q3 = third quartile and Min = minimum value and Max = maximum value of minimum air temperature.
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