Table 6 Results of ML models for the Urdu Tweet dataset with TF-IDF.
From: Ensemble stacked model for enhanced identification of sentiments from IMDB reviews
Measure | MNB(%) | BNB(%) | SVM(%) | DT(%) | RF(%) | LR(%) |
|---|---|---|---|---|---|---|
Classification accuracy | 59.00 | 56.99 | 61.00 | 50.00 | 56.00 | 57.09 |
Precision | 53.12 | 50.00 | 60.00 | 40.00 | 48.00 | 51.00 |
Recall | 39.53 | 46.51 | 27.00 | 34.01 | 30.23 | 32.00 |
F1 score | 45.33 | 48.91 | 38.00 | 37.05 | 37.23 | 40.00 |
Negative Recall | 73.64 | 64.91 | 85.06 | 61.04 | 75.00 | 77.01 |
