Evaluate your AI models with statistical confidence intervals using robust bootstrap resampling methods. Fast, accurate, and easy to use.
Infer generates detailed visualizations of your model's performance distribution. Identify stability issues, compare models with statistical rigor, and communicate results effectively.
Uncertainty Estimation
Support for extensive regression (MAE, MSE, RMSE, R²) and classification metrics (Accuracy, F1, AUC) out of the box.
Compute statistical confidence intervals using robust bootstrap resampling techniques for reliable uncertainty estimation.
Interactive visualizations showing bootstrap distribution and confidence intervals for better model performance understanding.
Just upload a CSV file with two columns: y_true and y_pred. Infer handles the statistical heavy lifting for you.
# Required CSV columns y_true,y_pred 1,0.92 0,0.15 1,0.88 0,0.05 1,0.96 ...
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