Table 6. Statistics of selected coefficients in the repeated, k-fold cross-validated Ridge regression models predicting each model parameter from all behavioral features of all three tasks.

The table includes all significant coefficients of within-task predictors, and a selected number of non-significant and between-task coefficients.

Predicted parameter (Task)	Predicting parameter (Task)	coefficient	$p$	sig.
Noise/exploration (A)	Win-stay (A)	–0.30	<0.001	***
	Lose-stay (A)	–0.23	<0.001	***
	Accuracy (A)	–0.19	0.0076	**
	Response times (A)	0.092	0.029	*
	Delay (A)	0.25	<0.001	***
Noise/exploration (B)	Win-stay (B)	–0.58	<0.001	***
	Lose-stay (B)	0.091	0.0034	**
	Accuracy (B)	–0.36	<0.001	***
	Win-stay (A)	–0.12	0.032	*
	Response times (A)	0.059	0.051	–
${\alpha }_{+}$ (A)	Win-stay (A)	0.74	<0.001	***
${\alpha }_{+}$ (B)	Win-stay (B)	0.27	<0.001	***
${\alpha }_{+}$ (C)	Accuracy (C)	0.24	0.033	*
${\alpha }_{-}$ (B)	Win-stay (B)	0.29	<0.001	***
	Lose-stay (B)	–0.71	<0.001	***
	Accuracy (B)	–0.28	<0.001	***
${\alpha }_{-}$ (C)	Win-stay (C)	0.16	0.009	**
	Lose-stay (C)	–0.41	<0.001	***