| 专利名称 | Automated-valuation-model training-data optimization systems and methods | ||
| 申请号 | US14038627 | 申请日 | |
| 公开(公告)号 | US9582819B2 | 公开(公告)日 | |
| 申请(专利权)人 | GREENFIELD ADVISORS LLC | 发明人 | Andy Krause; Clifford A Lipscomb; John A Kilpatrick |
| 专利来源 | 国家知识产权局 | 转化方式 | |
| 摘要 |
To optimize training data used by a predictive real-estate valuation model, a search space having multiple dimensions may be defined. Each search dimension corresponds to a range of candidate values for a search criterion for selecting subsets of sales-transaction records. The multiple dimensions include a temporal dimension and a geographic dimension. An accuracy-optimized subset of a multiplicity of sales-transaction records is identified by evaluating points that vary along each dimension within the multi-dimension search space. A statistical measure of model accuracy is used to evaluate each candidate point. The accuracy-optimized subset of the multiplicity of sales-transaction records is provided to a predictive model to generate an automated value prediction for a subject real-estate property as of an effective date. |
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