Built-in Model Examples

The following table summarizes the various examples in this section, along with their accuracies.

ModelData-setMetricFloating PointSimulationFHE

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*

A * means that FHE accuracy was calculated on a subset of the validation set.

Concrete-ML models

Comparison of classifiers

Last updated