Propensity Scores

Propensity Scores deliver nationwide property propensity score data with 6-month predictive analytics. Using the power of machine learning techniques, models are tailored for homeowner and renter segments with over 800 predictive variables to yield accurate results and have proven to be highly predictive through rigorous tests in the market. Propensity Score models use CoreLogic data sets, including public record data, sales transactions, local market trends, valuation and rental data. Product Attributes: - Likelihood of any of the following occurrences: - Propensity of the household to apply for a new purchase loan (in the next 6 months) - Propensity of the property to be listed for sale (in the next 6 months) - Propensity of the property to be listed for rent (in the next 6 months) - Propensity that an equity line will open for the property (in the next six months) - Propensity that a property will be the subject of a refinance loan (closed, in the next six months) Table: PROPENSITY_SCORE_V1_VIEW Key Fields: - CLIP - FIPS_CODE - SITUS_STREET_ADDRESS - SITUS_CITY - SITUS_STATE - SITUS_ZIP_CODE - NUMBER_OF_BUILDINGS - OWNER_1_FULL_NAME - OWNER_2_FULL_NAME - LAST_MARKET_SALE_AMOUNT - LIST_FOR_SALE_MODEL_PROPENSITY_SCORE - LIST_FOR_SALE_MODEL_PROPENSITY_SCORE_RUN_DATE - LIST_TO_RENT_MODEL_PROPENSITY_SCORE - LIST_TO_RENT_MODEL_PROPENSITY_SCORE_RUN_DATE倾向评分（Propensity Score）服务可提供覆盖全国范围的房产倾向评分数据，并搭载6个月周期的预测分析功能。 本服务依托机器学习技术，针对房主与租户群体定制专属模型，依托超800个预测变量保障结果精准性，且经市场严苛测试验证，具备极高的预测效能。 本倾向评分模型的训练数据源自CoreLogic数据集，涵盖公共记录、房产交易、本地市场趋势、估值及租赁等多类数据。 产品属性如下： - 覆盖以下场景的发生概率： - 未来6个月内家庭申请新增购房贷款的倾向 - 未来6个月内房产挂牌出售的倾向 - 未来6个月内房产挂牌出租的倾向 - 未来6个月内该房产获批房屋净值信贷额度的倾向 - 未来6个月内该房产完成再融资贷款的倾向 数据表：PROPENSITY_SCORE_V1_VIEW 关键字段： - CLIP - FIPS代码（Federal Information Processing Standards Code） - SITUS_STREET_ADDRESS（房产街道地址） - SITUS_CITY（房产所在城市） - SITUS_STATE（房产所在州/省） - SITUS_ZIP_CODE（房产邮政编码） - NUMBER_OF_BUILDINGS（建筑数量） - OWNER_1_FULL_NAME（第一业主全名） - OWNER_2_FULL_NAME（第二业主全名） - LAST_MARKET_SALE_AMOUNT（最新市场交易金额） - LIST_FOR_SALE_MODEL_PROPENSITY_SCORE（挂牌出售模型倾向评分） - LIST_FOR_SALE_MODEL_PROPENSITY_SCORE_RUN_DATE（挂牌出售模型倾向评分运行日期） - LIST_TO_RENT_MODEL_PROPENSITY_SCORE（挂牌出租模型倾向评分） - LIST_TO_RENT_MODEL_PROPENSITY_SCORE_RUN_DATE（挂牌出租模型倾向评分运行日期）

搜集汇总

背景与挑战

背景概述

该数据集利用机器学习技术，基于800多个预测变量生成全国房产倾向性评分，提供6个月内房产交易、租赁、贷款等行为的预测概率。数据来源于CoreLogic的公共记录、销售交易和市场趋势等多维信息，包含关键字段如房产地址、所有者信息和各类倾向性评分。