Skip to main content

Table 6 Performance evaluation based on six different models

From: Examining the impact of cross-domain learning on crime prediction

Season

Model

Random forest

Gradient boosting

AUC (%)

Gmean (%)

AUC (%)

Gmean (%)

1

1

69.69

69.25

69.25

68.95

 

2

64.34

63.39

65.17

65.14

 

3

63.18

62.61

63.17

62.69

 

4

69.55

69.13

70.25

69.73

 

5

70.00

69.48

70.05

69.74

 

6

69.69

69.11

70.10

69.71

2

1

69.61

69.57

69.25

69.24

 

2

64.47

64.35

65.04

64.94

 

3

63.09

62.10

63.74

63.54

 

4

69.54

69.50

70.63

70.59

 

5

69.41

69.35

70.35

70.35

 

6

69.28

69.20

70.52

70.52

3

1

67.57

67.55

67.54

67.49

 

2

63.74

63.65

63.86

63.66

 

3

62.89

62.72

62.54

62.06

 

4

67.42

67.41

68.70

68.68

 

5

67.57

67.56

67.99

67.87

 

6

67.52

67.51

68.12

68.04

4

1

68.76

68.68

68.12

68.08

 

2

64.20

64.08

64.80

64.54

 

3

62.85

62.84

62.41

62.37

 

4

68.65

68.54

69.23

69.09

 

5

68.79

68.66

68.99

68.96

 

6

68.80

68.66

69.11

69.07