The Comparison Study of Regression Models (Multiple Linear Regression, Ridge, Lasso, Random Forest, and Polynomial Regression) for House Price Prediction in West Nusa Tenggara-Reference-Cited by-同舟云学术

The Comparison Study of Regression Models (Multiple Linear Regression, Ridge, Lasso, Random Forest, and Polynomial Regression) for House Price Prediction in West Nusa Tenggara

Published:2023-08-02 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)
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Author:

Putri Mindi Richia¹,Wijaya I Gede Pasek Suta¹,Praja Fritzie Primananda Adi¹,Hadi Abdul¹,Hamami Faqih²

Affiliation:

1. University of Mataram,Dept. Magister of Information Technology,Mataram,Indonesia

2. Telkom University,School of Industrial and System Engineering,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10269799/10270819/10270916.pdf?arnumber=10270916

Reference12 articles.

1. Modelling using Polynomial Regression

2. Real Estate Price Prediction based on Supervised Machine Learning Scenarios

3. An Investigation of How Well Random Forest Regression Can Predict Demand of Groceries (June 2021);jonsson,0

4. A Study on Multiple Linear Regression Analysis;uyan?k;Procedia Soc Behav Sci,2013

5. House Price Prediction Using Regression Techniques: A Comparative Study

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