Table 5.
Classification matrix showing the classification of groups according to population affinity (two-way models)
| Sex | Group | RFM | SVM | |||||
|---|---|---|---|---|---|---|---|---|
| JP | WA | % Correct | JP | WA | % Correct | |||
| Female | JP | 112 | 34 | 76.71% | 120 | 26 | 82.19% | |
| WA | 26 | 119 | 82.07% | 23 | 122 | 84.13% | ||
| All | 79.38% | 83.16% | ||||||
| Male | JP | 118 | 33 | 78.15% | 130 | 21 | 86.09% | |
| WA | 37 | 148 | 80.00% | 29 | 156 | 84.32% | ||
| All | 79.17% | 85.12% | ||||||
| Sex-mixed | JP | 212 | 85 | 71.38% | 226 | 71 | 76.09% | |
| WA | 68 | 262 | 79.39% | 54 | 276 | 83.64% | ||
| All | 75.60% | 80.06% | ||||||
RFM, random forest modeling; SVM, support vector machine; JP, Japanese; WA, Western Australian