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Table 7 Detailed analysis of the naive Bayes model with optimal equal width binning and SMOTE oversampling

From: Improving accuracy of students’ final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique

 

True D

True C

True F

True A

True B

Class precision

Pred. D

56

12

9

0

2

70.89%

Pred. C

7

49

3

0

14

67.12%

Pred. F

9

4

56

0

2

78.87%

Pred. A

0

0

0

65

13

83.33%

Pred. B

0

7

2

5

45

76.27%

Class recall

77.78%

68.06%

80.00%

92.86%

59.21%

 

F-measure

74.17%

67.58%

79.43%

87.83%

66.66%