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 measurementANNNaïve-bayesJ48
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)113.4388.30.250.2415.3910.8
Correctly classified instances (%)63.7168.8358.8559.6872.9973.01
Incorrectly classified instances (%)36.2831.1641.1440.3127.0126.89
Kappa statistic0.27440.37670.17680.19360.45810.4599
Mean absolute error0.43570.39430.42210.41930.36160.3701
F-measure0.6310.68800.68600.68900.72900.7360