{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10534799","patent":{"patent_number":"US-10534799","title":"Feature transformation and missing values","assignee":null,"inventors":[],"filing_date":"2015-12-14T00:00:00.000Z","publication_date":"2020-01-14T00:00:00.000Z","cpc_codes":["G06F","G06N","G06F","G06N","G06N","G06N","G06N"],"num_claims":30,"abstract":"A behavior detection module receives a training database and applies a transformation to the attributes that improves the uniformity of the values associated with each attribute. The transformed training database is used to construct a random forest classifier (RFC). The RFC includes a plurality of decision trees and generates a classification label estimate for a data entry with a plurality of attributes. The classification label estimate is determined based on classification estimates from the plurality of decision trees. Each parent node of a decision tree is associated with a condition of a transformed attribute that directs the data entry to a corresponding child node depending on whether the condition is satisfied or not. The data entry is directed through the tree to one out of a set of leaf nodes, and a classification label associated with the leaf node."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Feature transformation and missing values","description":"A behavior detection module receives a training database and applies a transformation to the attributes that improves the uniformity of the values associated with each attribute. The transformed train","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10534799","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-10534799","citation_suggestion":"Patentable. \"Feature transformation and missing values\" (US-10534799). https://patentable.app/patents/US-10534799","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10534799","json":"https://patentable.app/api/llm-context/US-10534799","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T08:28:17.513Z"}