Probability calibration and robustness

Calibration and sensitivity

Cross-fitted calibration comparisons and prespecified sensitivity estimands.

Snapshot currentThe server-published scientific snapshot is ready.

Evidence scope

Scope, workflow status, and summary measures

Cross Fitted CalibrationPrediction Sensitivity Analysis
Cross-fitted calibrationCross-fitted probability calibrationComplete
Prediction sensitivityPrediction sensitivity analysesComplete
Selected XGBoost evaluation calibrator
logistic
Cross Fitted Calibration
Selected LightGBM evaluation calibrator
logistic
Cross Fitted Calibration
Selected CatBoost evaluation calibrator
none
Cross Fitted Calibration
Calibration selection rule
Select a method only when the animal-clustered 95% CI for mean cumulative Brier improvement excludes zero and pooled log loss does not worsen.
Cross Fitted Calibration
Rows per framework
396 rows
Prediction Sensitivity Analysis
Sensitivity scenarios
2 scenarios
Prediction Sensitivity Analysis
Sensitivity estimands
3 estimands
Prediction Sensitivity Analysis

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Aggregate estimate plot

Calibration log loss

Cross Fitted Calibration

Uncertainty: Point estimates are shown because this table does not supply matching lower and upper interval columns.

View plotted values in tabular form
Calibration log loss: tabulated plot data
EstimateMarkerLog Loss
catboost · isotonic1.730
catboost · logistic1.030
catboost0.968
lgbm · isotonic1.528
lgbm · logistic0.793
lgbm0.816
xgb · isotonic1.448
xgb · logistic0.815
xgb0.844
Log Loss from Pooled calibration metrics. Shared filters apply to both this plot and its source table.

Aggregate estimate plot

Sensitivity confidence intervals

Prediction Sensitivity Analysis

Uncertainty: Horizontal intervals use Ci Lower and Ci Upper from the published aggregate table.

View plotted values in tabular form
Sensitivity confidence intervals: tabulated plot data
EstimateMarkerEstimateLower intervalUpper interval
xgb · uncalibrated0.8520.8020.898
xgb · uncalibrated0.8170.7820.854
xgb · uncalibrated0.8350.8010.869
xgb · uncalibrated0.6210.5700.674
xgb · uncalibrated0.5800.5240.637
xgb · uncalibrated0.8440.7780.908
xgb · uncalibrated0.4670.3890.545
xgb · uncalibrated0.1540.1390.170
xgb · uncalibrated0.8520.7940.900
xgb · uncalibrated0.8170.7760.857
xgb · uncalibrated0.8350.7950.869
xgb · uncalibrated0.6210.5630.682
xgb · uncalibrated0.5800.5200.638
xgb · uncalibrated0.8440.7660.915
xgb · uncalibrated0.4670.3830.553
xgb · uncalibrated0.1540.1370.172
lgbm · uncalibrated0.8590.8100.902
lgbm · uncalibrated0.8300.7930.869
lgbm · uncalibrated0.8450.8110.878
lgbm · uncalibrated0.6360.5860.687
lgbm · uncalibrated0.5960.5410.649
lgbm · uncalibrated0.8160.7550.875
lgbm · uncalibrated0.4570.3870.529
lgbm · uncalibrated0.1490.1340.163
Estimate from Sensitivity confidence intervals. Shared filters apply to both this plot and its source table.
Cross Fitted Calibration

Pooled calibration metrics

Summary method: approved_rows

Indexed rows
9
Eligible rows
9

Showing 19 of 9 matching rows

Filters combine with AND. Empty and unreported values sort last.

Pooled calibration metrics. cross_fitted_calibration.
catboostisotonic3961150.8690.8450.8570.652
catboostlogistic3961150.8730.8480.8610.634
catboost3961150.8710.8520.8610.644
lgbmisotonic3961150.8580.8370.8480.669
lgbmlogistic3961150.8640.8500.8570.662
lgbm3961150.8590.8300.8450.636
xgbisotonic3961150.8510.8370.8440.634
xgblogistic3961150.8610.8450.8530.641
xgb3961150.8520.8170.8350.621
Cross Fitted Calibration

Paired calibration-method comparisons

Summary method: approved_rows

Indexed rows
12
Eligible rows
12

Showing 112 of 12 matching rows

Filters combine with AND. Empty and unreported values sort last.

Paired calibration-method comparisons. cross_fitted_calibration.
catboostlogisticlog_lossuncalibrated_minus_calibrated-0.061-0.3240.1870.378
catboostlogisticmean_cumulative_brieruncalibrated_minus_calibrated0.001-0.0020.0040.812
catboostisotoniclog_lossuncalibrated_minus_calibrated-0.762-1.325-0.2650.002
catboostisotonicmean_cumulative_brieruncalibrated_minus_calibrated-2.26e-4-0.0050.0050.463
lgbmlogisticlog_lossuncalibrated_minus_calibrated0.023-0.0060.0520.935
lgbmlogisticmean_cumulative_brieruncalibrated_minus_calibrated0.0076.52e-40.0130.985
lgbmisotoniclog_lossuncalibrated_minus_calibrated-0.713-1.356-0.2136.00e-4
lgbmisotonicmean_cumulative_brieruncalibrated_minus_calibrated0.003-0.0040.0100.769
xgblogisticlog_lossuncalibrated_minus_calibrated0.030-0.0020.0630.970
xgblogisticmean_cumulative_brieruncalibrated_minus_calibrated0.0090.0030.0170.999
xgbisotoniclog_lossuncalibrated_minus_calibrated-0.604-1.060-0.1992.00e-4
xgbisotonicmean_cumulative_brieruncalibrated_minus_calibrated0.007-1.59e-40.0140.971
Prediction Sensitivity Analysis

Sensitivity estimands

Summary method: approved_rows

Indexed rows
18
Eligible rows
18

Showing 118 of 18 matching rows

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Sensitivity estimands. prediction_sensitivity_analysis.
selected_calibrationxgbrow_weighted_pooled0.8610.8450.8530.6410.609
selected_calibrationxgbequal_animal_weighted0.8470.8690.8580.7300.623
selected_calibrationxgbequal_outer_fold_weighted0.8650.8540.8600.6410.609
selected_calibrationlgbmrow_weighted_pooled0.8640.8500.8570.6620.628
selected_calibrationlgbmequal_animal_weighted0.8470.8710.8590.7570.644
selected_calibrationlgbmequal_outer_fold_weighted0.8690.8610.8650.6620.628
selected_calibrationcatboostrow_weighted_pooled0.8710.8520.8610.6440.606
selected_calibrationcatboostequal_animal_weighted0.8510.8710.8610.7400.612
selected_calibrationcatboostequal_outer_fold_weighted0.8760.8600.8680.6440.605
uncalibratedxgbrow_weighted_pooled0.8520.8170.8350.6210.580
uncalibratedxgbequal_animal_weighted0.8340.8370.8350.7190.585
uncalibratedxgbequal_outer_fold_weighted0.8650.8540.8600.6210.581
uncalibratedlgbmrow_weighted_pooled0.8590.8300.8450.6360.596
uncalibratedlgbmequal_animal_weighted0.8410.8430.8420.7340.597
uncalibratedlgbmequal_outer_fold_weighted0.8690.8610.8650.6370.597
uncalibratedcatboostrow_weighted_pooled0.8710.8520.8610.6440.606
uncalibratedcatboostequal_animal_weighted0.8510.8710.8610.7400.612
uncalibratedcatboostequal_outer_fold_weighted0.8760.8600.8680.6440.605
Prediction Sensitivity Analysis

Sensitivity confidence intervals

Summary method: approved_rows

Indexed rows
96
Eligible rows
96

Showing 125 of 96 matching rows

Filters combine with AND. Empty and unreported values sort last.

Sensitivity confidence intervals. prediction_sensitivity_analysis.
selected_calibrationxgbearly_auc0.8610.8170.9010.0215,000
selected_calibrationxgblate_auc0.8450.8110.8790.0175,000
selected_calibrationxgbmean_auc0.8530.8220.8820.0155,000
selected_calibrationxgbaccuracy0.6410.5910.6920.0265,000
selected_calibrationxgbbalanced_accuracy0.6090.5550.6640.0285,000
selected_calibrationxgblog_loss0.8150.7390.8910.0395,000
selected_calibrationxgbordinal_mae0.4370.3680.5080.0365,000
selected_calibrationxgbmean_cumulative_brier0.1450.1290.1610.0085,000
selected_calibrationxgbearly_auc0.8610.8090.9030.0255,000
selected_calibrationxgblate_auc0.8450.8070.8820.0195,000
selected_calibrationxgbmean_auc0.8530.8170.8830.0175,000
selected_calibrationxgbaccuracy0.6410.5850.7000.0295,000
selected_calibrationxgbbalanced_accuracy0.6090.5480.6680.0315,000
selected_calibrationxgblog_loss0.8150.7270.8970.0445,000
selected_calibrationxgbordinal_mae0.4370.3590.5140.0405,000
selected_calibrationxgbmean_cumulative_brier0.1450.1270.1620.0095,000
selected_calibrationlgbmearly_auc0.8640.8170.9060.0225,000
selected_calibrationlgbmlate_auc0.8500.8200.8810.0165,000
selected_calibrationlgbmmean_auc0.8570.8270.8860.0155,000
selected_calibrationlgbmaccuracy0.6620.6130.7100.0255,000
selected_calibrationlgbmbalanced_accuracy0.6280.5750.6800.0275,000
selected_calibrationlgbmlog_loss0.7930.7200.8690.0385,000
selected_calibrationlgbmordinal_mae0.4090.3410.4800.0355,000
selected_calibrationlgbmmean_cumulative_brier0.1420.1260.1590.0085,000
selected_calibrationlgbmearly_auc0.8640.8090.9080.0255,000
Prediction Sensitivity Analysis

Uncalibrated row-weighted pooled framework ranking

Summary method: approved_rows

Indexed rows
3
Eligible rows
3

Showing 13 of 3 matching rows

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Uncalibrated row-weighted pooled framework ranking. prediction_sensitivity_analysis.
1catboost0.8610.6060.407
2lgbm0.8450.5960.457
3xgb0.8350.5800.467