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Table 4 Performance evaluation of four classifiers

From: Optimization of sentiment analysis using machine learning classifiers

Classifiers

Time taken (s)

Correctly classified instances

Incorrectly classified instances

Accuracy TP rate

Accuracy FP rate

Precision

F-measure

Naïve Bayes

7.79

85.24

14.61

0.456

0.134

0.831

0.812

J-48

49.73

89.73

11.33

0.967

0.003

0.877

0.917

BFTree

21.12

90.07

9.03

0.892

0.025

0.883

0.721

OneR

24.45

92.34

8.66

0.9

0.061

0.913

0.97