Research, software, data and methods. Inspect the context, compare your options, and take a useful next step.
UCI Machine Learning Repository
Flower measurements for a compact, interpretable multiclass baseline and leakage audit.
Investigate How much do iris classification results change when preprocessing is restricted to training folds?
scikit-learn documentation
A guide to model-evaluation splits, including grouped and time-series data, nested model selection and permutation-based assessment.
Investigate How much optimism arises when repeated observations from the same group are split across train and test?
scikit-learn documentation
A guide to variance filters, univariate tests, recursive elimination, model-based selection and selection inside pipelines.
Investigate How much apparent accuracy is introduced by selecting features before cross-validation on noise-only data?
scikit-learn documentation
A probability-calibration guide covering reliability curves and sigmoid, isotonic and temperature-scaling approaches.
Investigate How do calibration methods trade off log loss and reliability when the calibration sample is small?
scikit-learn documentation
A guide distinguishing outlier detection from novelty detection and comparing assumptions of several anomaly-detection methods.
Investigate How does training-set contamination alter detection rates at a fixed false-positive target?
UCI Machine Learning Repository
Pixelated metamaterial unit-cell designs and band-gap locations and widths for investigating simulation surrogate reliability.
Investigate How does a band-gap surrogate generalize to held-out metamaterial design regions?
scikit-learn documentation
A broad scoring reference that distinguishes classification, regression, ranking and clustering metrics and their scorer interfaces.
Investigate Can a scoring implementation reproduce independently computed confusion-matrix and probability-loss examples, including undefined edge cases?
UCI Machine Learning Repository
Oil-production process signals for studying event detection across operating scenarios.
Investigate How does event detection change when complete wells or production episodes are held out?
scikit-learn documentation
A guide to partial-dependence and individual-conditional-expectation curves, including definitions, computation and correlated-input caveats.
Investigate When features are correlated, how many evaluation points used by a response curve fall outside a declared support region?
scikit-learn documentation
A model-inspection guide explaining permutation importance and its limitations when predictors are strongly correlated.
Investigate How does duplicating a predictive feature change individual permutation-importance scores while predictive accuracy stays comparable?
ReScience C
A replication examining lexical methods for measuring bias and sensitivity to seed choices.
Investigate How much does the selected bias metric vary across prespecified seed-set perturbations compared with its sampling uncertainty?
ReScience C
A replication of replay-based continual learning with vision transformers, relevant to evaluating retention across sequential tasks.
Investigate At a fixed replay-memory budget, how sensitive are retention measurements to task order?
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