# MINIBOON

Source: [MINIBOON](<https://www.sota2.com/research/dataset/miniboon>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Benchmarks

Page 1 of 1. This is an index page, not the full collection.

- [Clustering on MiniBooNE Particle Identification m = 130,064, n = 50 (full)](<https://www.sota2.com/research/sota/clustering-on-miniboone-particle-identification-m-130-064-n-50-full.md>): Clustering; MiniBooNE Particle Identification m = 130,064, n = 50 (full).

- [Classification on MiniBooNE 30K subsamples](<https://www.sota2.com/research/sota/classification-on-miniboone-30k-subsamples.md>): Classification; MiniBooNE 30K subsamples.

- [Density Estimation on MINIBOONE d=43; N=36,488 (test)](<https://www.sota2.com/research/sota/density-estimation-on-miniboone-d-43-n-36-488-test.md>): Density Estimation; MINIBOONE d=43; N=36,488 (test).

- [Unconditional Density Estimation on MINIBOONE (test)](<https://www.sota2.com/research/sota/unconditional-density-estimation-on-miniboone-test.md>): Unconditional density estimation; MINIBOONE (test).

- [Density Estimation on MINIBOONE](<https://www.sota2.com/research/sota/density-estimation-on-miniboone.md>): Density Estimation; MINIBOONE.

- [Sparse Feature Selection on Miniboone (test)](<https://www.sota2.com/research/sota/sparse-feature-selection-on-miniboone-test.md>): Sparse Feature Selection; Miniboone (test).

- [Dynamic Feature Selection on Miniboone 5-fold CV](<https://www.sota2.com/research/sota/dynamic-feature-selection-on-miniboone-5-fold-cv.md>): Dynamic Feature Selection; Miniboone 5-fold CV.

- [Classification on Miniboone](<https://www.sota2.com/research/sota/classification-on-miniboone.md>): Classification; Miniboone.

- [Classification on MiniBooNE (test)](<https://www.sota2.com/research/sota/classification-on-miniboone-test.md>): Classification; MiniBooNE (test).

- [Density Estimation on MINIBOON (test)](<https://www.sota2.com/research/sota/density-estimation-on-miniboon-test.md>): Density Estimation; MINIBOON (test).

- [Evasion attack verification on miniboone 10,000 examples (test)](<https://www.sota2.com/research/sota/evasion-attack-verification-on-miniboone-10-000-examples-test.md>): Evasion attack verification; miniboone 10,000 examples (test).

- [Point-level mislabeled data detection on MiniBooNE](<https://www.sota2.com/research/sota/point-level-mislabeled-data-detection-on-miniboone.md>): Point-level mislabeled data detection; MiniBooNE.

- [Classification on Miniboone (Balanced Accuracy)](<https://www.sota2.com/research/sota/classification-on-miniboone-balanced-accuracy.md>): Classification; miniboone.

- [Density Estimation on Miniboone d=50 (test)](<https://www.sota2.com/research/sota/density-estimation-on-miniboone-d-50-test.md>): Density Estimation; Miniboone d=50 (test).

- [Tabular Classification on MiniBooNE](<https://www.sota2.com/research/sota/tabular-classification-on-miniboone.md>): Tabular Classification; MiniBooNE.

- [Unconditional Density Estimation on MINIBOONE UCI (test)](<https://www.sota2.com/research/sota/unconditional-density-estimation-on-miniboone-uci-test.md>): Unconditional Density Estimation; MINIBOONE UCI (test).

- [Generative Modeling on MINIBOONE](<https://www.sota2.com/research/sota/generative-modeling-on-miniboone.md>): Generative Modeling; MINIBOONE.

- [Data Selection on MiniBooNE](<https://www.sota2.com/research/sota/data-selection-on-miniboone.md>): Data Selection; MiniBooNE.

- [Cell-level outlier detection on MiniBooNE](<https://www.sota2.com/research/sota/cell-level-outlier-detection-on-miniboone.md>): Cell-level outlier detection; MiniBooNE.

- [Data Selection on MiniBooNE (test)](<https://www.sota2.com/research/sota/data-selection-on-miniboone-test.md>): Data Selection; MiniBooNE (test).

- [Model Allocation on MiniBooNE](<https://www.sota2.com/research/sota/model-allocation-on-miniboone.md>): Model Allocation; MiniBooNE.

- [Wasserstein distance error bound estimation on MiniBooNE](<https://www.sota2.com/research/sota/wasserstein-distance-error-bound-estimation-on-miniboone.md>): Wasserstein distance error bound estimation; MiniBooNE.