{"data":{"full_name":"camescopetech/NLP-classification","name":"NLP-classification","description":"LLM-based disease classification from symptom text descriptions using prompt engineering on the Symptom2Disease dataset. Compares zero-shot, few-shot (static & TF-IDF dynamic), and Chain-of-Thought strategies across 15 disease classes. Best result: F1-macro 0.55 with dynamic few-shot.","stars":1.0,"forks":0.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"llm-fine-tuning-frameworks","last_pushed_at":"2026-03-24T11:45:12+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":13.0,"adoption_score":1.0,"maturity_score":1.0,"community_score":0.0,"quality_score":15.0,"quality_tier":"experimental","risk_flags":"['no_license', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-06T20:28:35.342635+00:00"}}