From: A deterministic approach for protecting privacy in sensitive personal data
Coefficient | Original data | Anonymised data | Std. difference | ||||||
---|---|---|---|---|---|---|---|---|---|
Estimate | Std. Err. | z value | Pr(\(>|z|\)) | Estimate | Std. Err. | z value | Pr(\(>|z|\)) | ||
Intercept | 3.519 | 0.437 | 8.054 | 8.00e–16 | 3.615 | 0.454 | 7.972 | 1.56e–15 | 0.220 |
Pclass (2nd) | − 1.067 | 0.286 | − 3.732 | 0.0002 | − 1.112 | 0.300 | − 3.707 | 0.0002 | 0.159 |
Pclass (3rd) | − 2.283 | 0.281 | − 8.135 | 4.12e–16 | − 2.343 | 0.300 | − 7.822 | 5.21e–15 | 0.216 |
Sex (male) | − 2.628 | 0.194 | − 13.527 | < 2e–16 | − 2.625 | 0.194 | − 13.508 | < 2e–16 | 0.012 |
Age | − 0.033 | 0.008 | − 4.437 | 9.13e–06 | − 0.035 | 0.008 | − 4.586 | 4.53e–06 | 0.205 |
Fare | 0.001 | 0.002 | 0.466 | 0.641 | 0.001 | 0.002 | 0.217 | 0.829 | 0.223 |
Family (yes) | − 0.091 | 0.194 | − 0.471 | 0.638 | − 0.089 | 0.197 | − 0.452 | 0.651 | 0.010 |