{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9619757","patent":{"patent_number":"US-9619757","title":"Nominal feature transformation using likelihood of outcome","assignee":null,"inventors":[],"filing_date":"2014-06-20T00:00:00.000Z","publication_date":"2017-04-11T00:00:00.000Z","cpc_codes":["G06N","G06F","G06Q"],"num_claims":20,"abstract":"Embodiments of the present invention relate to transforming a nominal feature to a numeric feature that indicates a likelihood or probability of a particular outcome. Numeric features are determined that indicate a likelihood of an outcome given the value of the collected data (nominal values). Such numeric features are used to represent the corresponding nominal features for use in generating a machine learned model. As such, a nominal feature initially captured in a data set is transformed or converted to a numeric feature that represents a likelihood of a corresponding outcome as opposed to a Boolean value. Upon transforming nominal values to numeric values based on the likelihood of outcome, the numeric values can be used to generate a machine learned model that is used to predict future outcomes."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Nominal feature transformation using likelihood of outcome","description":"Embodiments of the present invention relate to transforming a nominal feature to a numeric feature that indicates a likelihood or probability of a particular outcome. Numeric features are determined t","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9619757","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-9619757","citation_suggestion":"Patentable. \"Nominal feature transformation using likelihood of outcome\" (US-9619757). https://patentable.app/patents/US-9619757","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9619757","json":"https://patentable.app/api/llm-context/US-9619757","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T10:21:33.272Z"}