Review Article
Analyzing Machine Learning Enabled Fake News Detection Techniques for Diversified Datasets
Table 3
Performance of traditional machine learning and deep learning models.
| Models | Datasets | Liar | Fake news dataset | Corpus | Acc | Prec | R | F1 | Acc | Prec | R | F1 | Acc | Prec | R | F1 |
| SVM | 56 | 56 | 56 | 48 | 67 | 67 | 67 | 67 | 71 | 78 | 71 | 72 | Logistic regression | 56 | 56 | 56 | 51 | 67 | 67 | 67 | 67 | 76 | 79 | 76 | 77 | Decision tree | 51 | 51 | 51 | 51 | 65 | 65 | 65 | 65 | 67 | 71 | 69 | 70 | AdaBoost | 56 | 56 | 56 | 54 | 72 | 72 | 72 | 72 | 73 | 74 | 73 | 74 | Naive Bayes | 60 | 59 | 60 | 59 | 86 | 86 | 86 | 86 | 93 | 93 | 93 | 93 | k-NN | 54 | 54 | 54 | 54 | 71 | 72 | 71 | 71 | 71 | 70 | 70 | 70 | CNN | 58 | 58 | 58 | 58 | 86 | 86 | 86 | 86 | 93 | 93 | 93 | 93 | LSTM | 54 | 29 | 54 | 38 | 76 | 78 | 76 | 76 | 93 | 94 | 93 | 93 | Bi-LSTM | 58 | 58 | 58 | 58 | 85 | 86 | 85 | 85 | 95 | 95 | 95 | 95 | GAN | 57 | 57 | 57 | 57 | 87 | 87 | 87 | 87 | 92 | 92 | 92 | 92 |
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Note: Acc: Accuracy; Prec: Precision; R-Recall: F1-F1_score.
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