Table 4 Performance of ML classifiers with feature selection (results in %).
From: Clickbait detection in news headlines using RoBERTa-Large language model and deep embeddings
Features | Models | Accuracy | Precision | Recall | F1-Score |
|---|---|---|---|---|---|
TF-IDF | SVM | 92 | 92 | 92 | 92 |
LR | 92 | 92 | 92 | 92 | |
DT | 88 | 88 | 88 | 88 | |
KNN | 88 | 87 | 88 | 88 | |
GB | 79 | 84 | 80 | 79 | |
RF | 90 | 90 | 90 | 90 | |
XGB | 87 | 89 | 87 | 87 | |
AdaBoost | 78 | 82 | 78 | 78 | |
POS | SVM | 63 | 65 | 64 | 63 |
LR | 63 | 65 | 64 | 64 | |
DT | 64 | 64 | 64 | 64 | |
KNN | 61 | 61 | 61 | 61 | |
GB | 65 | 66 | 66 | 65 | |
RF | 65 | 65 | 65 | 65 | |
XGB | 65 | 66 | 66 | 66 | |
AdaBoost | 64 | 65 | 65 | 65 | |
Ngram | SVM | 92 | 92 | 92 | 92 |
LR | 92 | 92 | 92 | 92 | |
DT | 88 | 87 | 87 | 87 | |
KNN | 87 | 87 | 87 | 87 | |
GB | 79 | 84 | 80 | 79 | |
RF | 90 | 90 | 90 | 90 | |
XGB | 87 | 89 | 87 | 87 | |
AdaBoost | 78 | 82 | 78 | 78 |