Table 2.

Fine tuning of the $\gamma$ parameter for SlopEn using a grid search and trying to maximise the performance in terms of classification accuracy linked to statistical significance. Intermediate results (from 0.30 up to 0.80) are not included, because they were not significant for man–rem until $\gamma =0.80$ was reached. For all cases $m=6$ and $\delta =1\times {10}^{-3}$.

		$\gamma =0.10$	0.20	0.30	0.80	0.90
Classes (dep,man)	Se	0.70	0.81	0.79	0.75	0.68
	Sp	0.69	0.62	0.62	0.69	0.75
	Acc	0.70	0.77	0.75	0.73	0.70
	p	0.0089	0.0062	0.0150	0.0053	0.0089
Classes (dep,rem)	Se	0.57	0.61	0.54	0.63	0.61
	Sp	0.67	0.58	0.68	0.59	0.59
	Acc	0.64	0.59	0.65	0.60	0.60
	p	0.0099	0.0098	0.0213	0.0357	0.0334
Classes (man,rem)	Se	0.59	0.74	0.73	0.79	0.65
	Sp	0.69	0.62	0.62	0.56	0.62
	Acc	0.68	0.63	0.63	0.58	0.62
	p	0.0915	0.0680	0.1284	0.0385	0.0420