The following table summarizes the various examples in this section, along with their accuracies.
| Model | Data-set | Metric | Floating Point | Simulation | FHE |
|---|---|---|---|---|---|
A * means that FHE accuracy was calculated on a subset of the validation set.
Linear Regression
Synthetic 1D
R2
0.876
0.863
0.863
Logistic Regression
Synthetic 2D with 2 classes
accuracy
0.90
0.875
0.875
Poisson Regression
mean Poisson deviance
0.61
0.60
0.60
Gamma Regression
mean Gamma deviance
0.45
0.45
0.45
Tweedie Regression
mean Tweedie deviance (power=1.9)
33.42
34.18
34.18
Decision Tree
precision score
0.95
0.97
0.97*
XGBoost Classifier
MCC
0.48
0.52
0.52*
XGBoost Regressor
R2
0.92
0.90
0.90*