Table 2.
Results obtained from nearest neighbor algorithm.
| NNs | % of Training Data | Accuracy | Sensitivity | Specificity | PPV | NPV | MCC | Youden’s Index |
|---|---|---|---|---|---|---|---|---|
| 1NN | 10 | 0.555 | 0.567 | 0.545 | 0.521 | 0.590 | 0.203 | 0.202 |
| 20 | 0.551 | 0.441 | 0.650 | 0.532 | 0.563 | 0.225 | 0.225 | |
| 30 | 0.586 | 0.580 | 0.592 | 0.551 | 0.620 | 0.186 | 0.186 | |
| 40 | 0.608 | 0.541 | 0.667 | 0.587 | 0.624 | 0.210 | 0.209 | |
| 3NN | 10 | 0.519 | 0.648 | 0.405 | 0.488 | 0.569 | 0.143 | 0.142 |
| 20 | 0.528 | 0.448 | 0.600 | 0.505 | 0.544 | 0.125 | 0.124 | |
| 30 | 0.559 | 0.460 | 0.652 | 0.553 | 0.562 | 0.123 | 0.122 | |
| 40 | 0.568 | 0.520 | 0.609 | 0.531 | 0.598 | 0.134 | 0.132 | |
| 5NN | 10 | 0.532 | 0.434 | 0.619 | 0.499 | 0.555 | 0.084 | 0.082 |
| 20 | 0.541 | 0.412 | 0.656 | 0.517 | 0.555 | 0.088 | 0.087 | |
| 30 | 0.549 | 0.577 | 0.524 | 0.513 | 0.588 | 0.092 | 0.089 | |
| 40 | 0.550 | 0.419 | 0.665 | 0.522 | 0.567 | 0.082 | 0.081 |