Research Article
Big Data Privacy Preservation Using Principal Component Analysis and Random Projection in Healthcare
Table 2
Performance Measure of Classification algorithm on the cardiovascular dataset.
| Accuracy measurement | ANN | Naïve-bayes | J48 | Classification approach (original dataset) | Classification approach (perturbed dataset) | Classification approach (original dataset) | Classification approach (perturbed dataset) | Classification approach (original dataset) | Classification approach (perturbed dataset) |
| Time taken to build (SEC) | 113.43 | 88.3 | 0.25 | 0.24 | 15.39 | 10.8 | Correctly classified instances (%) | 63.71 | 68.83 | 58.85 | 59.68 | 72.99 | 73.01 | Incorrectly classified instances (%) | 36.28 | 31.16 | 41.14 | 40.31 | 27.01 | 26.89 | Kappa statistic | 0.2744 | 0.3767 | 0.1768 | 0.1936 | 0.4581 | 0.4599 | Mean absolute error | 0.4357 | 0.3943 | 0.4221 | 0.4193 | 0.3616 | 0.3701 | F-measure | 0.631 | 0.6880 | 0.6860 | 0.6890 | 0.7290 | 0.7360 |
|
|