Table 6 Comparison of accuracy rates obtained using C4.5, K-NN and Naive Bayes classifiers
From: Evaluating a decision making system for cardiovascular dysautonomias diagnosis
Classification techniques | Training sets | Test sets | ||||
|---|---|---|---|---|---|---|
Mean (%) | Min (%) | Max (%) | Mean (%) | Min (%) | Max (%) | |
C4.5 | 98.54 | 96.01 | 100 | 97.76 | 91.04 | 100 |
K-NN | 96.43 | 95.12 | 97.56 | 85.82 | 83.33 | 92.73 |
Naïve Bayes | 89.17 | 85.25 | 93.18 | 85.75 | 83.82 | 89.79 |