Table 3. Experimental results of average classification accuracy for datasets with binary class labels.
Dataset | NB | TAN | KCF | KDB | AODE |
---|---|---|---|---|---|
Adult | 84.2% | 86.2% | 85.1% | 86.2% | 86.8% |
Breast-cancer-w | 95.8% | 96.4% | 97.4% | 95.3% | 94.6% |
Census-income | 76.3% | 93.6% | 89.9% | 94.9% | 94.9% |
Chess | 88.7% | 90.7% | 90.0% | 90.0% | 92.4% |
Echocardiogram | 66.4% | 67.2% | 67.9% | 65.6% | 66.4% |
German | 74.7% | 72.7% | 75.2% | 71.1% | 73.0% |
Heart | 80.2% | 80.7% | 80.8% | 81.9% | 80.4% |
Heart Disease | 79.9% | 79.2% | 78.8% | 77.6% | 79.6% |
Mushrooms | 98.0% | 100.0% | 100.0% | 100.0% | 100.0% |
Pima-ind-diabetes | 75.5% | 76.2% | 76.2% | 75.5% | 76.3% |
Spambase | 89.8% | 93.3% | 93.3% | 93.6% | 94.1% |
Tic-tac-toe | 69.3% | 77.1% | 73.5% | 79.6% | 80.6% |