Table 4.

Random forest model results. Random forest with active learning often, although not universally, shows improved performance compared to generic random forest models. The change between these two approaches is noted in the Change column.

Conspiracy theory and metrics		Random forest	Random forest with active learning	Change
5Ga
	Accuracy	0.779	0.783	0.004
	Recall	0.908	0.872	–0.036
	Precision	0.728	0.744	0.016
	F1 Score	0.808	0.804	–0.004
Gatesb
	Accuracy	0.622	0.5819	–0.04
	Recall	0.675	0.793	0.118
	Precision	0.608	0.556	-0.052
	F1 Score	0.64	0.654	0.014
Labc
	Accuracy	0.782	0.84	0.058
	Recall	0.699	0.833	0.134
	Precision	0.9	0.883	–0.017
	F1 Score	0.787	0.857	0.070
Vaxd
	Accuracy	0.507	0.751	0.244
	Recall	0.653	0.474	–0.1786
	Precision	0.170	0.274	0.104
	F1 Score	0.270	0.347	0.077

^a5G: conspiracy theories related to 5G technology.

^bGates: conspiracy theories related to Bill Gates or the Bill & Melinda Gates Foundation.

^cLab: conspiracy theories related to SARS-CoV-2 being laboratory-released or human-made.

^dVax: conspiracy theories related to vaccines.