Detection of Online Fake News Using Blending Ensemble Learning

Table 1

Performance metrics for the Liar dataset.

	Liar dataset using n-gram
	ROC AUC	f1-score	AUC	Precision	Recall	Accuracy %
Logistic regression (LR) classifier	0.634	0.673	0.666	0.616	0.742	60.346
Linear discriminant analysis (LDA) classifier	0.553	0.573	0.596	0.589	0.558	54.269
Stochastic gradient descent classifier (SGDC)	0.616	0.682	0.648	0.592	0.805	58.725
Ridge classifier (RC)	0.598	0.685	0.626	0.580	0.836	57.682
Linear support vector machine (SVM) classifier	0.609	0.682	0.642	0.589	0.810	58.523
Blending (BLD) ensemble	0.634	0.682	0.668	0.616	0.765	60.813