Mr. Haoran Yin Profile

Haoran Yin

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 7 October 2022 Paper

Research on prediction model of second-hand house price

Haoran Yin

Proceedings Volume 12344, 1234414 (2022) https://doi.org/10.1117/12.2655351

KEYWORDS: Machine learning, Data processing, Data analysis

Read Abstract +

With the rapid development of China's economy, the real estate industry has become an important topic of livelihood issues in China in recent years. This paper mainly takes the second-hand house price in Beijing as the data source, analyzes the status quo of the second-hand house price in each district, and studies the housing price prediction problem according to the properties of the second-hand house in the region, floor, year, layout and so on. In this paper, the housing price is predicted by linear regression model and decision tree regression model respectively, and the prediction results are scored by R2_Scroe scoring method, and the results are 0.66 and 0.79 respectively. Experimental results show that the prediction effect of decision tree regression model is better than that of linear regression model.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years