Table 5 Outcomes of ML models with TF-IDF features.

From: Sentiment analysis for deepfake X posts using novel transfer learning based word embedding and hybrid LGR approach

Model

Acc.

G. Mean

Kappa score

AUC score

Brier score

Prec.

Recall

F1

SVM

0.48

0.42

0.28

0.82

0.15

0.69

0.49

0.57

DT

0.80

0.76

0.69

0.88

0.25

0.84

0.80

0.82

KNC

0.65

0.61

0.45

0.78

0.28

0.71

0.65

0.68

LR

0.81

0.78

0.71

0.91

0.21

0.82

0.82

0.82

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