{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11531946","patent":{"patent_number":"US-11531946","title":"Optimizing machine learning model total payment volume predictions using model stacking","assignee":null,"inventors":[],"filing_date":"2020-06-30T00:00:00.000Z","publication_date":"2022-12-20T00:00:00.000Z","cpc_codes":["G06Q","G06N","G06N","G06N","G06N","G06Q","G06Q"],"num_claims":20,"abstract":"This specification includes machine learning model stacking techniques allowing for greater predictive accuracy using disparate sources of data. In one embodiment, a system obtains TPV data and inputs the TPV data into a forecasting model. Based on the total payment volume data, the forecasting model may output a first prediction of a total payment volume for a future period of time. The system may acquire prediction enhancing data and input the first prediction from the forecasting model and the acquired prediction enhancing data into a machine learning model. Based on the first prediction and the acquired prediction enhancing data, the machine learning model may output a second prediction of the total payment volume for the future period of time. The second prediction may be compared against real-time TPV and determined differences may be used for controlling operations of various machines system/network environment machines."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Optimizing machine learning model total payment volume predictions using model stacking","description":"This specification includes machine learning model stacking techniques allowing for greater predictive accuracy using disparate sources of data. In one embodiment, a system obtains TPV data and inputs","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11531946","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-11531946","citation_suggestion":"Patentable. \"Optimizing machine learning model total payment volume predictions using model stacking\" (US-11531946). https://patentable.app/patents/US-11531946","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11531946","json":"https://patentable.app/api/llm-context/US-11531946","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T09:59:58.029Z"}