Home Valuation Meta-Modeling for Accurate Current Price Estimates
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Solution Overview
Problem
Conventional methods for valuing residential real estate properties are either short-term and inaccurate, or expensive and subjective, failing to provide a universally accurate, cost-effective, and convenient solution for determining current home values.
Innovation Solution
A software facility that automatically determines current home values by constructing and applying housing price models using a forest of classification trees, combining sub-models and meta-models to weigh valuations based on home attributes, allowing for quick and objective valuation without recent sales data or professional appraisals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional appraisal methods are used to determine home value, then professional expertise and subjective judgment are applied, but the process becomes expensive and time-consuming
Solution Approach 1:
The patent replaces the manual mechanical process of professional appraisal with an automated computer-based system that uses classification trees and machine learning algorithms to determine home values, eliminating the need for human appraisers while maintaining valuation accuracy
Solution Approach 2:
The system enables automatic valuation without requiring professional intervention by using algorithms that independently analyze home attributes and comparable sales data, allowing the system to serve itself in determining property values
2Productivity
If recent sales data is used to determine home value, then the valuation is simple and quick, but it becomes inaccurate for homes that have not recently sold
Solution Approach 1:
The system dynamically adapts its valuation approach based on data availability, using recent sales prices when available but switching to classification tree models that incorporate multiple attributes and comparable properties when recent sales data is insufficient, ensuring both speed and accuracy across different scenarios
Solution Approach 2:
The system changes the parameters used for valuation based on the specific home and market conditions, transitioning from simple recent sale price to a comprehensive multi-parameter classification tree analysis that considers home attributes, location, and comparable properties
3Adaptability or versatility
If professional appraisers are employed to value homes, then subjective adjustments can be made for unique attributes, but the process becomes expensive and less accessible
Solution Approach 1:
The classification tree system is designed to handle diverse home attributes and valuation scenarios universally, accommodating unique property characteristics through programmed attribute categories while providing consistent, accessible valuation services to all users without requiring professional appraisers
Data Source
AI summary
A facility for valuing a distinguished home located in a distinguished geographic area is described. The facility receives home attributes for the distinguished home. For each of a plurality of valuation sub-models, the facility applies the valuation sub-model to the received home attributes to obtain a sub-model valuation for the distinguished home. The facility further applies a meta-model to the record home attributes to obtain a relative weighting factor for each sub-model. The facility then uses the obtained relative weighting factors to combine the sub-model valuations to obtain an overall valuation for the distinguished home. The facility reports the obtained valuation for the distinguished home.