Machine Learning Insights: Exploring Key Factors Influencing Sale-to-List Ratio—Insights from SVM Classification and Recursive Feature Selection in the US Real Estate Market

The US real estate market is a complex ecosystem influenced by multiple factors, making it critical for stakeholders to understand its dynamics. This study uses Zillow Econ (monthly) data from January 2018 to October 2023 across 100 major regions gathered through Metropolitan Statistical Area (MSA)...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Buildings (Basel) Ročník 14; číslo 5; s. 1471
Hlavní autoři:	Sobieraj, Janusz, Metelski, Dominik
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.05.2024
Témata:	Accuracy Algorithms Competitiveness Decision making Dwellings Dynamics Econometrics Feature selection Forecasts and trends Housing housing market dynamics Housing prices Indicators Inventory Investors Kernel functions Learning algorithms Machine learning Power predictive modeling Price cuts Pricing Ratios Real estate real estate forecasting Real property Recursive Feature Elimination (RFE) Sales Supply & demand Support vector machines Support Vector Machines (SVM) Trends US real estate Variables United States > US
ISSN:	2075-5309, 2075-5309
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!