Table 2.

BIC, classification error and explained variance of latent class models of different cluster sizes across five independent folds

Model	BIC	Classification error (%)	R 2
1 cluster	12,519	0.0	1
2 clusters	12,329	6.6	0.81
3 clusters	12,321	9.6	0.79
4 clusters	12,359	12.5	0.75
5 clusters	12,415	14.8	0.73

Abbreviation: BIC, Bayesian Information Criterion.

Classification error, estimated classification error based on the posterior probabilities of individual cluster assignments.

R ², explained variance.

The three‐cluster model resulted in the lowest BIC across five independent folds.