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Reliability / calibration diagrams

All the CV test folds are pooled. Models: chronos2_ctx4000, hgb_quantile_q7, hgb_quantile_recal_q7, kumo_tabular, tabicl_forecast_ctx1024_n4, tabicl_n8_full. Nominal interval 0.05–0.95 (nominal coverage 0.90).

Coverage curve (marginal reliability)

For each nominal level τ, the fraction of observations at or below the τ-quantile forecast. Dashed line = perfect calibration. This is the marginal check; a model can be on the diagonal on average while being miscalibrated in particular situations.

Conditional coverage of the interval (by predicted load)

Test cases split into 10 equal-count bins by each model's predicted median; observed coverage of the 0.05–0.95 interval in each bin. Below the dashed nominal line means the interval is too narrow at that load, above means too wide.

Conditional reliability curves, binned (one panel per quantile)

Equal-count bins of each model's own predictions; x = mean prediction, y = mean prediction + τ-quantile of the residuals in the bin. A perfectly calibrated model lies on the dashed 45 degree diagonal (1:1 axes). Use the dropdown to change the horizon.

Conditional reliability curves, isotonic / PAV (one panel per quantile)

Same check with the conditional τ-quantile estimated by isotonic regression (no bin width to choose). A perfectly calibrated model lies on the dashed 45 degree diagonal (1:1 axes).