Table 4.
Classification report of LIAR dataset for proposed classifiers
Classifier | Label | Before feature extraction | After feature extraction | ||||
---|---|---|---|---|---|---|---|
Accuracy (%) | Recall (%) | F1 Score (%) | Accuracy (%) | Recall (%) | F1 Score (%) | ||
Multiple Classifier (Naïve Bayes, Passive Aggression,DNN) | Barely True | 26 | 14 | 23 | 40 | 41 | 40 |
False | 24 | 49 | 30 | 43 | 50 | 47 | |
Half True | 27 | 21 | 22 | 42 | 46 | 44 | |
Mostly True | 27 | 28 | 30 | 39 | 51 | 43 | |
True | 30 | 20 | 24 | 40 | 28 | 35 |