House Price Prediction Using Ridge Regression & Lasso Regression |
Author(s): |
| Ruchi Banerjee , G H Raisoni College of Engineering, Nagpur ; Neha Yadav, G H Raisoni College of Engineering, Nagpur ; Parul Madewar, G H Raisoni College of Engineering, Nagpur |
Keywords: |
| Machine Learning, Lasso Regression, Ridge Regression, House Price Prediction, Mean Squared Error |
Abstract |
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The government, financial institutions, real estate market, as well as homeowners, all depend on accurate house price predictions. Multicollinearity, however, is a typical occurrence in multivariate analysis and has a significant impact on the model. Since both the Ridge and Lasso regression models can handle multicollinearity, this study compares their performance. Construction and comparison of the Ridge and Lasso regression models have been conducted. The performance of the model is evaluated using adjusted r-squared and standard errors. This comparison analysis discovered that the Lasso regression model outperforms the Ridge regression model. |
Other Details |
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Paper ID: IJSRDV11I20084 Published in: Volume : 11, Issue : 2 Publication Date: 01/05/2023 Page(s): 371-373 |
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