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Generated learning problems for examining how benchmark construction affects classifier comparisons.

Wireless localization simulation descriptors for examining error prediction across configurations.

A rule-generated balance problem that separates memorization from learning a physical decision rule.

A formula-based interface for Bayesian regression and hierarchical models.

Image-derived banknote features for a compact binary classification and robustness exercise.

Air-quality measurements from multiple monitoring stations for auditing spatiotemporal forecasting.

Forecast-model outputs and weather observations for investigating temperature bias correction.

Aggregate bicycle-rental counts and contextual covariates for auditing demand forecasts.

The bootstrap reference explains percentile, basic and bias-corrected accelerated confidence intervals, paired resampling and computation controls.

Machining measurements for studying industrial condition recognition under grouped acquisition.

A structured car-rating decision problem useful for checking learned rules against declared categories.

Nanotube configuration coordinates for investigating geometric relaxation surrogates.