Large Scale Benchmark for House Price Prediction

Large Scale Benchmark for House Price Prediction

Presenter(s)

Amira Yousif, Sai Surya Vaddi

Comments

Presentation: 1:00-1:20 p.m., Jessie Hathcock Hall 180

Description

In this project, we conduct a benchmark for house price prediction. We collect a large-scale dataset consisting of estate attributes and house pictures. The selling prices are collected as groundtruth data. Then, we evaluate state-of-the-art machine learning methods on this collected dataset. The insights gained from this project will benefit the study of the house market.

Publication Date

4-19-2023

Project Designation

Graduate Research 202253 CPS 596 P1

Primary Advisor

Van Nguyen, Ju Shen

Primary Advisor's Department

Computer Science

Keywords

Stander Symposium, College of Arts and Sciences

Large Scale Benchmark for House Price Prediction

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