Table 7.

The goodness of fit metrics of the 3 tree-based models, cross-validating perceived creativity of activities during quarantine was a variable with major contribution to the classification (test data, n = 232).

Model configuration	Test purpose	MIV	Train data Acc (Kappa)	Test data Acc (Kappa)
1. CTREE Diener et al.’s (1999) SWB	Testing a popular unbiased recursive partitioning algorithm	Perceived creativity	0.75 (0.00)	0.75 (0.00)
2. CART × MHC-SF EWB (Keyes et al., 2008)	Testing a different SWB operationalization	Perceived creativity	0.79 (0.23)	0.75 (0.07)
3. CART × DASS D	Testing a different construct	Perceived creativity	0.73 (0.39)	0.73 (0.39)

Note. MIV = most important variable, Acc = accuracy, Kappa = Cohen's kappa (κ).