{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11481667","patent":{"patent_number":"US-11481667","title":"Classifier confidence as a means for identifying data drift","assignee":null,"inventors":[],"filing_date":"2019-01-24T00:00:00.000Z","publication_date":"2022-10-25T00:00:00.000Z","cpc_codes":["G06F","G06N","G06F"],"num_claims":9,"abstract":"Embodiments of the present systems and methods may provide improved machine learning performance even though data drift has occurred. For example, a method may comprise providing a machine learning model in a computer system, operating the machine learning model using a first dataset to obtain results of the first dataset, operating the machine learning model using a second dataset to obtain results of the second dataset, performing statistical testing on a confidence distribution of results of the first dataset and of results of the second dataset to determine a difference in a result confidence distribution between the first dataset and of the second dataset, and determining whether data included in the second dataset has data drift relative to the first dataset based on the difference in a result confidence distribution between the first dataset and of the second dataset."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Classifier confidence as a means for identifying data drift","description":"Embodiments of the present systems and methods may provide improved machine learning performance even though data drift has occurred. For example, a method may comprise providing a machine learning mo","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11481667","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-11481667","citation_suggestion":"Patentable. \"Classifier confidence as a means for identifying data drift\" (US-11481667). https://patentable.app/patents/US-11481667","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11481667","json":"https://patentable.app/api/llm-context/US-11481667","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T17:19:27.811Z"}