{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11238528","patent":{"patent_number":"US-11238528","title":"Systems and methods for custom ranking objectives for machine learning models applicable to fraud and credit risk assessments","assignee":null,"inventors":[],"filing_date":"2016-12-22T00:00:00.000Z","publication_date":"2022-02-01T00:00:00.000Z","cpc_codes":["G06Q","G06N","G06Q"],"num_claims":17,"abstract":"A system for analyzing risk using machine learning models may be trained using a data set to generate a risk assessment model that is optimized for metrics commonly used in for financial risk evaluation. The metrics may include Gini and CaptureRate, for example. The system may receive a request for a financial service, and generate a risk assessment by applying the risk assessment model to factors associated with the request. The system may also decide on the request in response to the risk assessment."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods for custom ranking objectives for machine learning models applicable to fraud and credit risk assessments","description":"A system for analyzing risk using machine learning models may be trained using a data set to generate a risk assessment model that is optimized for metrics commonly used in for financial risk evaluati","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11238528","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-11238528","citation_suggestion":"Patentable. \"Systems and methods for custom ranking objectives for machine learning models applicable to fraud and credit risk assessments\" (US-11238528). https://patentable.app/patents/US-11238528","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11238528","json":"https://patentable.app/api/llm-context/US-11238528","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T14:59:15.800Z"}