{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11531734","patent":{"patent_number":"US-11531734","title":"Determining optimal machine learning models","assignee":null,"inventors":[],"filing_date":"2020-06-30T00:00:00.000Z","publication_date":"2022-12-20T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F","G06F","G06F","G06N","G06N","G06N","G06F","G06N"],"num_claims":20,"abstract":"Aspects of the disclosure relate to determining optimal machine learning models. A computing platform may collect, via a network, data indicative of login activity to an enterprise resource. One or more initial features indicative of the login activity may be identified. Based on the one or more initial features, an initial test dataset and a test model may be generated. Then, the test model may be deployed in a production environment. Subsequently, the computing platform may identify one or more production feature vectors. Then, the computing platform may generate, based on the one or more production feature vectors, a training dataset. Subsequently, the computing platform may perform, for the training dataset, a data quality check. Then, the computing platform may predict, by applying Bayesian optimization to the training dataset, an optimal machine learning model. Subsequently, the computing platform may apply the optimal machine learning model to detect unauthorized activity."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Determining optimal machine learning models","description":"Aspects of the disclosure relate to determining optimal machine learning models. A computing platform may collect, via a network, data indicative of login activity to an enterprise resource. One or mo","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11531734","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-11531734","citation_suggestion":"Patentable. \"Determining optimal machine learning models\" (US-11531734). https://patentable.app/patents/US-11531734","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11531734","json":"https://patentable.app/api/llm-context/US-11531734","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T06:33:22.602Z"}