Research Article
[Retracted] Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques
Table 3
Performance measures (in percentage) for spam detection after applying the Bag of Words vectorizer.
| Performance measures | Multinomial NB | Bernoulli NB | SVM | Decision tree classifier | Random forest classifier | Logistic regression |
| Classification accuracy | 97.37 | 96.77 | 96.95 | 95.39 | 97.19 | 97.85 | Precision | 92.89 | 96.38 | 97.81 | 91.98 | 97.95 | 98.78 | Recall | 96.85 | 89.81 | 89.37 | 88.11 | 90.23 | 92.24 | F1-score | 94.74 | 92.74 | 93.01 | 89.90 | 93.61 | 95.18 | Negative recall | 97.57 | 99.44 | 99.86 | 98.19 | 99.86 | 100 |
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