Table 7.
Percentage accuracy (%) of the machine learning algorithms with 10-fold validation applied for classification assessment with maximum diameter (Dmax) alone.
| # of Folds | Decision Tree | Naïve-Bayes | kNN | SVM |
|---|---|---|---|---|
| 1 | 70.0 | 70.0 | 55.0 | 65.0 |
| 2 | 75.0 | 80.0 | 80.0 | 80.0 |
| 3 | 65.0 | 70.0 | 70.0 | 70.0 |
| 4 | 52.6 | 52.6 | 47.4 | 42.1 |
| 5 | 73.7 | 73.7 | 57.9 | 73.7 |
| 6 | 78.9 | 73.7 | 78.9 | 73.7 |
| 7 | 78.9 | 73.7 | 68.4 | 84.2 |
| 8 | 78.9 | 73.7 | 68.4 | 68.4 |
| 9 | 47.4 | 52.6 | 68.4 | 52.6 |
| 10 | 68.4 | 68.4 | 73.7 | 68.4 |
|
| ||||
| Average | 68.9 | 68.8 | 66.8 | 67.8 |