# A Goal-Oriented Evaluation Methodology for Privacy-Preserving Process Mining
## Abbreviations
**} \\ \hline k\_anonymity & Sepsis & fitness & \(-0.016821772\) & \(2.04584\times 10^{-5}\) & \(5.30332\times 10^{-6}\) & Yes \\ k\_anonymity & Sepsis & precision & \(0.042823684\) & \(0.001213876\) & \(0.026306603\) & Yes \\ k\_anonymity & Sepsis & generalization & \(0.009441443\) & \(0.000216424\) & \(0.000449906\) & Yes \\ k\_anonymity & BPIC13 & fitness & \(0\) & \(0\) & \(0\) & Yes \\ k\_anonymity & BPIC13 & precision & \(-0.021183526\) & \(1.01366\times 10^{-6}\) & \(1.81784\times 10^{-7}\) & Yes \\ k\_anonymity & BPIC13 & generalization & \(0.015379115\) & \(2.05768\times 10^{-5}\) & \(7.00647\times 10^{-5}\) & Yes \\ k\_anonymity & CoSeLog & fitness & \(-0.010881192\) & \(8.1703\times 10^{-6}\) & \(3.42276\times 10^{-6}\) & Yes \\ k\_anonymity & CoSeLog & precision & \(-0.017207349\) & \(0.00527065\) & \(0.001654694\) & Yes \\ k\_anonymity & CoSeLog & generalization & \(-0.008473584\) & \(0.00172847\) & \(0.000944632\) & Yes \\ k\_anonymity & Road Traffic Fines & fitness & \(0\) & \(0\) & \(0\) & \(0\) & Yes \\ k\_anonymity & Road Traffic Fines & precision & \(0\) & \(0\) & \(0\) & \(0\) & Yes \\ l\_diversity & Road Traffic Fines & generalization & \(-0.008988866\) & \(1.64296\times 10^{-7}\) & \(7.9925\times 10^{-8}\) & Yes \\ l\_diversity & Sepsis & fitness & \(-0.017256907\) & \(7.51856\times 10^{-6}\) & \(1.87418\times 10^{-6}\) & Yes \\ l\_diversity & Sepsis & precision & \(-0.062192902\) & \(0.005349092\) & \(2.0938\times 10^{-5}\) & Yes \\ l\_diversity & Sepsis & generalization & \(0.019705937\) & \(0.00631058\) & \(0.002782744\) & Yes \\ l\_diversity & BPIC13 & fitness & \(-0.057690499\) & \(8.25624\times 10^{-8}\) & \(4.2831\times 10^{-10}\) & Yes \\ l\_diversity & BPIC13 & precision & \(0.116267805\) & \(6.42954\times 10^{-11}\) & \(0.99998003\) & No \\ l\_diversity & BPIC13 & generalization & \(-0.216253372\) & \(0.999969002\) & \(5.76628\times 10^{-7}\) & No \\ l\_diversity & CoSeLog & fitness & \(-0.006774908\) & \(1.88899\times 10^{-6}\) & \(1.09908\times 10^{-6}\) & Yes \\ l\_diversity & CoSeLog & precision & \(-0.03831593\) & \(0.002135029\) & \(9.77791\times 10^{-5}\) & Yes \\ l\_diversity & CoSeLog & generalization & \(0.007048211\) & \(0.000183112\) & \(0.00036729\) & Yes \\ l\_diversity & Road Traffic Fines & fitness & \(0\) & \(0\) & \(0\) & Yes \\ l\_diversity & Road Traffic Fines & precision & \(-0.174836992\) & \(0.996878525\) & \(8.29927\times 10^{-6}\) & No \\ l\_diversity & Road Traffic Fines & generalization & \(-0.001158652\) & \(7.01388\times 10^{-9}\) & \(6.39304\times 10^{-9}\) & Yes \\ t\_closeness & Sepsis & fitness & \(-0.001893195\) & \(2.27556\times 10^{-9}\) & \(1.95574\times 10^{-9}\) & Yes \\ t\_closeness & Sepsis & precision & \(0.721461899\) & \(1.1137\times 10^{-8}\) & \(0.999999966\) & No \\ t\_closeness & Sepsis & generalization & \(-0.360078875\) & \(0.999990458\) & \(9.82363\times 10^{-7}\) & No \\ t\_closeness & BPIC13 & fitness & \(-0.090909091\) & \(0\) & Yes \\ t\_closeness & BPIC13 & precision & \(0.263058067\) & \(1.6396\times 10^{-63}\) & \(1\) & No \\ t\_closeness & BPIC13 & generalization & \(-0.703764617\) & \(1\) & \(0\) & No \\ t\_closeness & CoSeLog & fitness & \(-0.017416045\) & \(0\) & \(0\) & Yes \\ t\_closeness & CoSeLog & precision & \(0.33304701\) & \(0\) & \(1\) & No \\ t\_closeness & CoSeLog & generalization & \(-0.568191827\) & \(1\) & \(8.93136\times 10^{-66}\) & No \\ t\_closeness & Road Traffic Fines & fitness & \(-0.000452477\) & \(1.24272\times 10^{-12}\) & \(1.19854\times 10^{-12}\) & Yes \\ t\_closeness & Road Traffic Fines & precision & \(0.23919059\) & \(8.96318\times 10^{-7}\) & \(0.999998953\) & No \\ t\_closeness & Road Traffic Fines & generalization & \(-0.010888864\) & \(9.93196\times 10^{-7}\) & \(4.14764\times 10^{-7}\) & Yes \\ PRETSA & Sepsis & fitness & \(0\) & \(0\) & \(0\) & Yes \\ PRETSA & Sepsis & precision & \(0.085459246\) & \(1.27003\times 10^{-8}\) & \(0.000313763\) & Yes \\ PRETSA & Sepsis & generalization & \(-0.034813474\) & \(8.39842\times 10^{-6}\) & \(4.63035\times 10^{-7}\) & Yes \\ PRETSA & BPIC13 & fitness & \(0\) & \(0\) & \(0\) & Yes \\ PRETSA & BPIC13 & precision & \(0\) & \(0\) & \(0\) & Yes \\ PRETSA & BPIC13 & precision & \(0\) & \(0\) & \(0\) & Yes \\ PRETSA & BPIC13 & precision & \(0.049849179\) & \(0.001545461\) & \(0.049750839\) & Yes \\ PRET