Table 4. Estimation of the best classifier for the second level in the two-level system with supervised classifiers: Accuracy.
Accuracy (%) | 1R | DT | 1-NN | 5-NN | NB | RBF | SVM | LR | AdaB | Bag | RF |
---|---|---|---|---|---|---|---|---|---|---|---|
K3b | 46.5 | 69.0 | 79.2 | 83.5 | 81.2 | 81.2 | 88.3* | 69.7 | 79.2 | 75.8 | 81.5 |
L1b | 54.8 | 68.5 | 66.3 | 70.3 | 74.5 | 71.3 | 80.8* | 69.8 | 75.5 | 73.3 | 73.5 |
K6b | 35.8 | 57.5 | 51.0 | 57.5 | 54.5 | 55.5 | 60.3* | 49.8 | 59.0 | 57.8 | 56.5 |
Average | 45.8 | 65.6 | 67.4 | 72.3 | 71.7 | 71.0 | 78.2* | 64.0 | 72.4 | 69.9 | 72.1 |
The values are the average for the 5-runs using 10-fold CV, representing * the highest accuracy for each subject.