. Author manuscript; available in PMC: 2023 Jan 1.

Published in final edited form as: Comput Speech Lang. 2021 Jul 19;71:101263. doi: 10.1016/j.csl.2021.101263

Table A.9:

Disclosure task performance using Granger causal features from the multilag feature set and a feature significance threshold of p <0.10.

Model	F1	Acc.	Prec.	FNR	Pos. Acc.	Neg. Acc.
DT	0.458	0.654^*	0.452	0.247^*	0.481	0.743
RF	0.150	0.683^*	0.500^*	0.312	0.090	0.969
GNB	0.579^*	0.663^*	0.494^*	0.170^*	0.719	0.637
L-SVM	0.624 ^*	0.737^*	0.600 ^*	0.154 ^*	0.695	0.759

indicates performance better than randomized bootstrap σ_d. Bold values indicate the best performance in their respective columns. Pos. Acc. and Neg. Acc. indicate the accuracy for the positive and negative classes, respectively.