Hit-frequency-weighted random classifier
Predicts hit or no-hit at random, with the probability of predicting a hit set to the proportion of hits in the benchmark being evaluated.
Results are recorded on linked configurations and versions of this method. Their settings and evaluations are kept separate below.
Results on linked records
This method has no results of its own in this release. One linked record has results. They are not assigned to the underlying method: each record keeps its own settings and evaluations, and its scores are on its own page.
- Random baseline, Simple Benchmark hit rate (Song et al. 2025) Configuration · configuration of this method · 1 evaluation · 6 results
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Evidence
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Sources and history
Release 2026-10-23-5347695500ed · Record review: source checked
1 source record and release history
- Virtual CRISPR: Can LLMs Predict CRISPR Screen Results? · Original source · Proceedings of the 24th Workshop on Biomedical Language Processing (BioNLP 2025), pages 354-364, 1 August 2025; ACL Anthology 2025.bionlp-1.30
Technical metadata and extraction receipts
Stable ID: pheno-20261022-method-song2025-random-hit-classifier
- areas
- cells-tissues
- contexts
- research
- method types
- conventional_pipeline
- reported name
- Random Baseline
- entity level
- method
- source locator
- Appendix A.2
- missing metadata
- version: reason: inapplicable; note: Method record; settings are on configurations
Related records
- configuration of: Random baseline, Simple Benchmark hit rate (Song et al. 2025)