Examples
The following table summarizes the various examples in this section, along with their accuracies.
Model
Dataset
Metric
Clear
Quantized
FHE
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
Diabetes
MCC
0.48
0.52
0.52*
A * means that FHE accuracy was calculated on a subset of the validation set.

Concrete-ML models

Comparison of classifiers

Kaggle competition

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Concrete-ML models
Comparison of classifiers
Kaggle competition