{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11961005","patent":{"patent_number":"US-11961005","title":"System for automated data preparation, training, and tuning of machine learning models","assignee":null,"inventors":[],"filing_date":"2023-12-18T00:00:00.000Z","publication_date":"2024-04-16T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N","G06N","G06N","G06Q","G06Q","G06Q","G06Q","G06Q"],"num_claims":28,"abstract":"Embodiments are directed to managing machine learning models. Domain items may be determined based on domain data and schema information. Labels that correspond to a predicted outcome may be generated based on the domain data. A model may be trained based on a portion of a plurality of feature records and the labels such that each feature record may be associated with an observance of a domain item. The trained model may be disqualified based on evaluation metrics that may be below a threshold value causing further actions, including: submitting other portions of the feature records to the disqualified model; determining erroneous feature fields in the feature records based on metrics associated with the submission of the other portions of feature records; updating the feature records to exclude the erroneous feature fields; retraining the disqualified model based on the updated feature records."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"System for automated data preparation, training, and tuning of machine learning models","description":"Embodiments are directed to managing machine learning models. Domain items may be determined based on domain data and schema information. Labels that correspond to a predicted outcome may be generated","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11961005","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11961005","citation_suggestion":"Patentable. \"System for automated data preparation, training, and tuning of machine learning models\" (US-11961005). https://patentable.app/patents/US-11961005","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11961005","json":"https://patentable.app/api/llm-context/US-11961005","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T09:24:35.567Z"}