An adaptive hybrid african vultures-aquila optimizer with Xgb-Tree algorithm for fake news detection

Abd El-Mageed, Amr A.; Abohany, Amr A.; Ali, Asmaa H.; Hosny, Khalid M.

doi:10.1186/s40537-024-00895-9

Journal of Big Data

Table 8 Results of the proposed IBAVO-AO algorithm and well-known ML methods using other datasets for FND

From: An adaptive hybrid african vultures-aquila optimizer with Xgb-Tree algorithm for fake news detection

Dataset	Metric	IBAVO-AO	k-NN	SVM	DT	RF	GNB	MLP
FA-KES [82]	Accuracy	0.6406	0.4371	0.5364	0.4967	0.5166	0.4901	0.4172
BuzzFeed [83]	Accuracy	0.8982	0.3784	0.4595	0.5676	0.4865	0.5405	0.5135
UTK (Kaggle) [84]	Accuracy	0.8331	0.6196	0.5495	0.5896	0.6174	0.5150	0.6002
Data (Kaggle) [85]	Accuracy	0.9445	0.6965	0.6979	0.6925	0.7206	0.7019	0.7580
Ranking	\(\mathrm {W\|T\|L}\)	\(\mathbf {4\|0\|0}\)	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4
FA-KES	Kappa	0.2809	0.1258	0.0694	0.0093	0.0335	0.0214	0.1634
BuzzFeed	Kappa	0.7913	0.1869	0.0289	0.2128	0.0057	0.1465	0.0513
UTK (Kaggle)	Kappa	0.6663	0.2392	0.1017	0.1815	0.2364	0.0321	0.2001
Data (Kaggle)	Kappa	0.8890	0.3930	0.3957	0.3850	0.4412	0.4037	0.5160
Ranking	\(\mathrm {W\|T\|L}\)	\(\mathbf {4\|0\|0}\)	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4
FA-KES	Precision	0.6471	0.4342	0.5758	0.4889	0.5125	0.4828	0.4330
BuzzFeed	Precision	0.8969	0.4167	0.6667	0.7576	0.5714	0.7500	0.6000
UTK (Kaggle)	Precision	0.8389	0.6224	0.7361	0.8414	0.7679	0.5400	0.5915
Data (Kaggle)	Precision	0.9239	0.7712	0.7913	0.6607	0.6767	0.7475	0.7718
Ranking	\(\mathrm {W\|T\|L}\)	\(\mathbf {4\|0\|0}\)	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4
FA-KES	Recall	0.6102	0.4400	0.2533	0.2933	0.5467	0.3733	0.5600
BuzzFeed	Recall	0.9317	0.2381	0.0952	0.2381	0.3810	0.2857	0.4286
UTK (Kaggle)	Recall	0.8264	0.6155	0.1598	0.2247	0.3407	0.2271	0.6578
Data (Kaggle)	Recall	0.9689	0.5588	0.5374	0.7914	0.8449	0.6096	0.7326
Ranking	\(\mathrm {W\|T\|L}\)	\(\mathbf {4\|0\|0}\)	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4
FA-KES	F1-score	0.6271	0.4371	0.3519	0.3667	0.5290	0.4211	0.4884
BuzzFeed	F1-score	0.9118	0.3030	0.1667	0.3846	0.4571	0.4138	0.5000
UTK (Kaggle)	F1-score	0.8325	0.6189	0.2626	0.3547	0.4720	0.3198	0.6229
Data (Kaggle)	F1-score	0.9458	0.6481	0.6401	0.7202	0.7515	0.6716	0.7517
Ranking	\(\mathrm {W\|T\|L}\)	\(\mathbf {4\|0\|0}\)	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4	0\|0\|4

Back to article page