Scientific Reports

Table 7 Results of ML models with the proposed transfer learning 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	Target	Prec.	Recall	F1
SVM	0.96	0.96	0.94	0.99	05	1	0.95	0.98	0.96
						2	0.98	0.97	0.97
						3	0.98	0.95	0.96
						Avg.	0.97	0.97	0.97
DT	0.96	0.95	0.93	0.96	02	1	0.96	0.96	0.96
						2	0.97	0.97	0.97
						3	0.95	0.95	0.95
						Avg.	0.96	0.96	0.96
KNC	0.96	0.95	0.93	0.98	02	1	0.93	0.98	0.95
						2	0.97	0.96	0.96
						3	0.98	0.93	0.96
						Avg.	0.96	0.96	0.96
LR	0.97	0.96	0.95	0.99	01	1	0.96	0.97	0.97
						2	0.97	0.97	0.97
						3	0.98	0.95	0.96
						Avg.	0.97	0.97	0.97

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