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Real estate valuation method and system based on random forest and storage medium

A random forest and random forest model technology, applied in systems and storage media, in the field of real estate valuation methods based on random forests, can solve problems such as difficulty in accurately fitting nonlinear relationships, difficulty in obtaining valuation, and regression errors.

Inactive Publication Date: 2017-09-22
重庆汇集源科技有限公司
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AI Technical Summary

Problems solved by technology

Obviously, this kind of regression based on the assumption of a certain functional relationship is likely to cause large errors
In the real estate appraisal industry, there is no specific and general functional form to express the numerical law between characteristics and market prices, which makes it difficult for existing valuation methods and systems based on characteristic price theory to obtain accurate valuation
[0008] When using the traditional multiple linear regression method or other parametric regression methods, it is necessary to pre-set the function form, and it is difficult to accurately fit samples of complex nonlinear relationships

Method used

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  • Real estate valuation method and system based on random forest and storage medium
  • Real estate valuation method and system based on random forest and storage medium
  • Real estate valuation method and system based on random forest and storage medium

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Embodiment Construction

[0110] The present invention proposes a real estate valuation method based on random forest, including,

[0111] Step 1: Establish a basic database Step: collect real estate data to form a basic database, use clustering algorithm or / and deduplication algorithm or / and screening algorithm to process data in the basic database, and perform quantitative processing of characteristic variables on real estate data;

[0112] There are 13 characteristic variables: distance from commercial center, traffic, property management fee, floor area ratio, greening rate, year of construction, administrative area, real estate brand, building area, floor, orientation, landscape, decoration and so on.

[0113] The specific quantitative standards are shown in the table below:

[0114]

[0115]

[0116]

[0117] Step 2: Steps to build a random forest model: including,

[0118] Step 21: Take 75% of the cases in the basic database as the training set, and 25% of the data as the test set;

...

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Abstract

The present invention proposes a real estate valuation method based on a random forest, comprising: step 1, establishing a basic database step: collecting real estate data to form a basic database, and using a clustering algorithm or / and a deduplication algorithm or / and a screening algorithm to perform data processing on the basic database , carry out characteristic variable quantitative processing to real estate data; Step 2 establishes the step of random forest model, step 3 steps the step that random forest model is tested, step 4 real estate valuation step, the random forest algorithm of the present invention does not need pre-set function form, can Accurately fit samples of complex nonlinear relationships.

Description

technical field [0001] The present invention relates to the field of real estate valuation, in particular to a random forest-based real estate valuation method, system and storage medium. Background technique [0002] The three traditional valuation methods, market comparison method, cost method and income method, are often used in the real estate appraisal work. [0003] Cost Approach: The Cost Approach makes use of the cost of production theory of value in economics. Buyers and sellers have a common cognition on the replacement cost. Since both parties have the desire to reach a deal, they can negotiate a price based on the replacement cost and reach an agreement to complete the transaction. [0004] Market comparison method: The market comparison method uses the substitution principle in economics. This principle believes that the utility brought to consumers by commodities can be replaced. When the price of a commodity rises, consumers will tend to look for alternatives...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06N3/00
CPCG06Q30/0278G06N3/006
Inventor 张恒刘小娟方绍云杨定金何睿胡小梅汤勇彭名峰黄秋红
Owner 重庆汇集源科技有限公司
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