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classification_metrics

Syntologyentry name in harvested coderead from the graph 2026-09-24

classification_metrics appears in the code Syntology harvested for 9 papers, as 9 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 5 of the papers; 2 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named classification_metrics do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 5 of the 9 distinct code bodies named classification_metrics; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
4ran
4unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 9 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

9 papers shown of 9, newest first; 9 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 5 papers added by Syntology. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Adapting Reinforcement Learning with Chain-of-Thought Supervision for Explainable Detection of Hateful and Propagandistic Memes added by Syntology 2026-06 (from id) MohamedBayan/MemeReason/evaluation/compute_metrics.py 324967c6a6c4b693 ran no licence file found · pointer only
CITYREP: A Unified Benchmark for Urban Representations Across Cities, Tasks, and Modalities added by Syntology 2026-05 (from id) inwind0212/CityRep/urban_benchmark/metrics.py b152e0d18a7b6385 ran no licence file found · pointer only
CMGL: Confidence-guided Multi-omics Graph Learning for Cancer Subtype Classification added by Syntology 2026-04 (from id) chenzRG/Cancer-Multi-Omics-Benchmark/Baseline_and_Metric/Classification/Metrics/Classification_metrics.py 1ff6721ce2ec83b7 ran fingerprinted no licence file found · pointer only
Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings added by Syntology 2026-02 (from id) lottamakinen/causal-meta-learning/metrics/accuracy.py 5831505484c20cbc unverified MIT (permissive)
Self-Evolving Multi-Agent Network for Industrial IoT Predictive Maintenance added by Syntology 2026-02 (from id) HySonLab/AgentIoT/hama/agents/evolution.py 34a9706c22c472e6 ran · fixture could not drive it fingerprinted MIT (permissive)
SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution 9 Jan 2025 jorge-martinez-gil/graphcodebert-feature-integration/src/featfuse/metrics.py 1b12db6bf011d6fa unverified MIT (permissive)
Preserving Fairness Generalization in Deepfake Detection 27 Feb 2024 purdue-m2/fairness-generalization/training/fairness_metrics.py c987e7409c07b8d5 ran MIT (permissive)
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence 22 Aug 2022 purdue-m2/auc_fairness_with_noisy_groups/training/fairness_metrics.py 09ce3125196e8c16 unverified MIT (permissive)
Deep Reinforcement Learning for Imbalanced Classification 5 Jan 2019 Denbergvanthijs/imbDRL/imbDRL/metrics.py 5aa844be0122f4ad unverified Apache-2.0 (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections