Table 5 Recognition accuracy (in percentage) for 10-fold cross validation procedure using different classifiers on k -AAP.
Classifiers | DD | TG | EDD |
|---|---|---|---|
Naïve Bayes | 62.3 | 48.5 | 58.2 |
SVM (SMO with linear polynomial of degree P = 1) | 75.4 | 76.1 | 88.8 |
SVM (SMO with P = 3) | 69.1 | 69.2 | 86.2 |
Random Forest (10 base learners) | 62.9 | 52.1 | 73.0 |
Adaboost.M1 (10 base learners) | 68.1 | 59.3 | 79.2 |
kNN (for k = 1) | 70.8 | 65.6 | 84.3 |