Table 3:
No. of Classes | AIC | Adjusted BIC | Entropy |
---|---|---|---|
2 | 233.25 | 230.63 | 0.82 |
3 | 211.73 | 207.72 | 0.88 |
4 | 203.53 | 198.13 | 0.85 |
5 | 198.92 | 192.14 | 0.93 |
6 | 198.10 | 189.92 | 0.93 |
Note. AIC = Akaike information criterion; BIC = Bayesian information criterion. AIC and BIC measure of the extent to which the model fits the data; models with lower AIC and BIC values are preferred. Entropy, ranging from 0 to 1, indicates more meaningful differences between groups as value approaches 1.