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Figure C.5: Percentage of instances with a certain distance between the actual and predicted temperature class value, obtained by using HMM to predict temperature class

Table C.7: Percentage of instances with a certain distance between the actual and predicted temperature class value, obtained by using extended dataset focusing on predicting value for an RWIS set rather than for an RWIS site, and applying ten 10-fold cross validations using HMM to predict temperature class (Experiment 8).

Set 1

Set 2

Set 3

Distance 0

17.03%

19.29%

34.54%

1

59.30%

67.05%

47.84%

2

20.16%

11.40%

12.89%

3

3.27%

1.97%

2.61%

4

0.24%

0.17%

0.95%

5

0.00%

0.13%

0.83%

6

0.00%

0.00%

0.29%

7

0.00%

0.00%

0.05%

Set 1: RWIS Sites 19, 27 and 67 Set 2: RWIS Sites 14, 20, 35, 49, 62

Set 3: RWIS Sites 25, 56, 60, 68, 78



Figure C.6: Percentage of instances with a certain distance between the actual and predicted temperature class value, obtained by using HMM to predict temperature class with training done using the extended dataset.

Table C.8: Results obtained from predicting precipitation type using HMM (Experiment 9).




RWIS

Site

% of instance with no precipitation reported in data

% of instance with precipitation reported in data

% of instances where no precipitation is predicted correctly

% of instances where precipitation is predicted correctly

Set 1

19

85.71

14.28

55.22

4.79




27

77.23

22.77

13.33

18.72




67

67.3

32.69

5.36

28.35

Set 2

14

74.61

24.38

27.22

18.08




20

72.74

27.25

16.96

21.43




35

83.58

16.41

71.19

6.85




49

84.66

15.33

71.24

7.34

Set 3

62

85.82

14.17

80.8

6.38




25

83.1

16.9

73.4

7.7




56

85.25

14.74

74.25

4.27




60

78

20

53.64

9.39




68

86.41

13.59

73.69

5.15




78

83.89

16.11

55.91

7.73




1. http://www.dot.state.mn.us/

2. http://www.wunderground.com/

3. http://alex.seewald.at/WEKA/callClassifier.java

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