- 专利标题： Predictive modelling to score customer leads using data analytics using an end-to-end automated, sampled approach with iterative local and global optimization
-
申请号： US15423541申请日： 2017-02-02
-
公开(公告)号： US11544582B2公开(公告)日： 2023-01-03
- 发明人: Kanchana Suryakantha , Kashyap Subramanya , Vasanti Hegde , Rajaram Venkatesha Rao Kudli
- 申请人： DALCHEMY INC.
- 申请人地址： US CA Milpitas
- 专利权人： DALCHEMY INC.
- 当前专利权人： DALCHEMY INC.
- 当前专利权人地址： US CA Milpitas
- 代理机构： HM Law Group LLP
- 代理商 Vani Moodley, Esq.
- 主分类号： G06N5/04
- IPC分类号： G06N5/04 ; G06N20/00 ; G06Q10/06 ; G06Q30/02
摘要：
Embodiments of the present invention disclose system to determine the best model to perform lead scoring for a given data set. The system can perform a multi-step iterative procedure including variable selection, feature set selection, training data selection, model development, model validation and process optimization. The system also performs local and global optimizations iteratively to determine the best possible model for a given scenario.
公开/授权文献
信息查询
