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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%