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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 of a model combining hippocampal and dorsal-striatal learning for spatial decision making.

Investigate How does disabling each modeled learning component change performance on a prespecified navigation test?

ReScience C

An Octave replication of a multifunctional synthetic gene-network model involving oscillatory and switching behavior.

Investigate Which simulated regime boundaries remain stable under solver refinement and small parameter perturbations?

ReScience C

A replication of a neurodynamical working-memory model using recurrent or echo-state networks.

Investigate How does recall error vary with delay length under fixed input and noise schedules?

ReScience C

A replication of reward-modulated motor learning and automaticity in a reservoir-computing model.

Investigate How do learning curves and post-training variability depend on reservoir initialization under a fixed reward schedule?

ReScience

A replication about the evolution of cooperation on graphs and social networks.

Investigate How do cooperation frequencies vary across evaluator-generated graph families under a fixed update rule?

ReScience C

A Python replication of a search-and-matching model framed through game theory and markets.

Investigate How do matching statistics change under prespecified search-cost settings, and are terminal states stable under further updates?

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 about Thompson sampling and bandit-guided sequence optimization.

Investigate How does Thompson sampling compare with uniform allocation on evaluator-generated finite reward landscapes at equal budgets?

ReScience C

An R replication about plankton coexistence, species oscillations and chaotic ecological dynamics.

Investigate How do species persistence and oscillation summaries change with solver tolerance and initial populations?

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?