Table 3 Results of Ml models using CountVectorizer on the IMDB movie reviews dataset.
From: Ensemble stacked model for enhanced identification of sentiments from IMDB reviews
Measure | MNB (%) | BNB (%) | SVM (%) | DT(%) | RF(%) | LR(%) |
|---|---|---|---|---|---|---|
Accuracy | 85.00 | 84.00 | 70.00 | 77.00 | 83.16 | 85.00 |
Precision | 83.00 | 79.00 | 84.00 | 67.00 | 80.00 | 85.00 |
Recall | 82.00 | 82.00 | 86.00 | 71.00 | 84.00 | 81.00 |
F1 score | 83.00 | 81.00 | 84.00 | 70.00 | 83.00 | 83.00 |
Negative Recall | 80.00 | 81.00 | 70.00 | 60.00 | 83.00 | 80.00 |
