| Classes . | df . | AIC . | BIC . | CAIC . | Entropy R2 . | Classification errors . | p . |
|---|---|---|---|---|---|---|---|
| 1 | 15 | 12597.6 | 12673.6 | 12688.6 | 1.00 | 0.00 | <.001 |
| 2 | 31 | 10981.3 | 11138.2 | 11169.2 | 1.00 | 0.00 | <.001 |
| 3 | 47 | 10603.1 | 10841.0 | 10888.0 | 0.91 | 0.04 | <.001 |
| 4 | 63 | 10239.5 | 10558.5 | 10621.5 | 0.91 | 0.05 | <.001 |
| 5 | 79 | 10499.8 | 10499.8 | 10578.8 | 0.90 | 0.07 | .60 |
| 6 | 95 | 10544.4 | 10544.4 | 10242.7 | 0.90 | 0.07 | .99 |
| 7 | 111 | 10621.1 | 10621.1 | 10268.6 | 0.86 | 0.10 | >.99 |
| 8 | 127 | 10695.8 | 10695.8 | 10292.4 | 0.87 | 0.10 | >.99 |
| 9 | 143 | 10775.1 | 10775.1 | 10918.1 | 0.88 | 0.09 | >.99 |
| 10 | 159 | 10860.8 | 10860.8 | 10355.8 | 0.86 | 0.12 | >.99 |
| 11 | 175 | 10953.1 | 10953.1 | 11128.1 | 0.84 | 0.14 | >.99 |
| Classes . | df . | AIC . | BIC . | CAIC . | Entropy R2 . | Classification errors . | p . |
|---|---|---|---|---|---|---|---|
| 1 | 15 | 12597.6 | 12673.6 | 12688.6 | 1.00 | 0.00 | <.001 |
| 2 | 31 | 10981.3 | 11138.2 | 11169.2 | 1.00 | 0.00 | <.001 |
| 3 | 47 | 10603.1 | 10841.0 | 10888.0 | 0.91 | 0.04 | <.001 |
| 4 | 63 | 10239.5 | 10558.5 | 10621.5 | 0.91 | 0.05 | <.001 |
| 5 | 79 | 10499.8 | 10499.8 | 10578.8 | 0.90 | 0.07 | .60 |
| 6 | 95 | 10544.4 | 10544.4 | 10242.7 | 0.90 | 0.07 | .99 |
| 7 | 111 | 10621.1 | 10621.1 | 10268.6 | 0.86 | 0.10 | >.99 |
| 8 | 127 | 10695.8 | 10695.8 | 10292.4 | 0.87 | 0.10 | >.99 |
| 9 | 143 | 10775.1 | 10775.1 | 10918.1 | 0.88 | 0.09 | >.99 |
| 10 | 159 | 10860.8 | 10860.8 | 10355.8 | 0.86 | 0.12 | >.99 |
| 11 | 175 | 10953.1 | 10953.1 | 11128.1 | 0.84 | 0.14 | >.99 |
Bold font indicates selected model. Classification errors represent the proportion of cases that were misclassified. AIC = Akaike information criterion; BIC = Bayesian information criterion; CAIC = consistent AIC.
| Classes . | df . | AIC . | BIC . | CAIC . | Entropy R2 . | Classification errors . | p . |
|---|---|---|---|---|---|---|---|
| 1 | 15 | 12597.6 | 12673.6 | 12688.6 | 1.00 | 0.00 | <.001 |
| 2 | 31 | 10981.3 | 11138.2 | 11169.2 | 1.00 | 0.00 | <.001 |
| 3 | 47 | 10603.1 | 10841.0 | 10888.0 | 0.91 | 0.04 | <.001 |
| 4 | 63 | 10239.5 | 10558.5 | 10621.5 | 0.91 | 0.05 | <.001 |
| 5 | 79 | 10499.8 | 10499.8 | 10578.8 | 0.90 | 0.07 | .60 |
| 6 | 95 | 10544.4 | 10544.4 | 10242.7 | 0.90 | 0.07 | .99 |
| 7 | 111 | 10621.1 | 10621.1 | 10268.6 | 0.86 | 0.10 | >.99 |
| 8 | 127 | 10695.8 | 10695.8 | 10292.4 | 0.87 | 0.10 | >.99 |
| 9 | 143 | 10775.1 | 10775.1 | 10918.1 | 0.88 | 0.09 | >.99 |
| 10 | 159 | 10860.8 | 10860.8 | 10355.8 | 0.86 | 0.12 | >.99 |
| 11 | 175 | 10953.1 | 10953.1 | 11128.1 | 0.84 | 0.14 | >.99 |
| Classes . | df . | AIC . | BIC . | CAIC . | Entropy R2 . | Classification errors . | p . |
|---|---|---|---|---|---|---|---|
| 1 | 15 | 12597.6 | 12673.6 | 12688.6 | 1.00 | 0.00 | <.001 |
| 2 | 31 | 10981.3 | 11138.2 | 11169.2 | 1.00 | 0.00 | <.001 |
| 3 | 47 | 10603.1 | 10841.0 | 10888.0 | 0.91 | 0.04 | <.001 |
| 4 | 63 | 10239.5 | 10558.5 | 10621.5 | 0.91 | 0.05 | <.001 |
| 5 | 79 | 10499.8 | 10499.8 | 10578.8 | 0.90 | 0.07 | .60 |
| 6 | 95 | 10544.4 | 10544.4 | 10242.7 | 0.90 | 0.07 | .99 |
| 7 | 111 | 10621.1 | 10621.1 | 10268.6 | 0.86 | 0.10 | >.99 |
| 8 | 127 | 10695.8 | 10695.8 | 10292.4 | 0.87 | 0.10 | >.99 |
| 9 | 143 | 10775.1 | 10775.1 | 10918.1 | 0.88 | 0.09 | >.99 |
| 10 | 159 | 10860.8 | 10860.8 | 10355.8 | 0.86 | 0.12 | >.99 |
| 11 | 175 | 10953.1 | 10953.1 | 11128.1 | 0.84 | 0.14 | >.99 |
Bold font indicates selected model. Classification errors represent the proportion of cases that were misclassified. AIC = Akaike information criterion; BIC = Bayesian information criterion; CAIC = consistent AIC.
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