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Estimating the Performance of Random Forest versus Multiple Regression for Predicting Prices of the Apartments
6 references·9 citing·34 second hop
Estimating the Performance of Random Forest versus Multiple Regression for Predicting Prices of the Apartments (2018)Estimating the Performance of Random Fore…Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics (2011)Mass appraisal of residential…Spatial Dependence and House Price Index Construction (1997)Spatial Dependence and House …The Analysis of Spatial Association by Use of Distance Statistics (1992)The Analysis of Spatial Assoc…Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition (1974)Hedonic Prices and Implicit M…A New Approach to Consumer Theory (1966)A New Approach to Consumer Th…The Application of Electronic Computers to Factor Analysis (1960)The Application of Electronic…Incorporating Spatial Autocorrelation in Machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features (2022)Incorporating Spatial Autocor…Housing Price Prediction Using Machine Learning Algorithms in COVID-19 Times (2022)Housing Price Prediction Usin…An explainable model for the mass appraisal of residences: The application of tree-based Machine Learning algorithms and interpretation of value determinants (2022)An explainable model for the …Real estate price estimation in French cities using geocoding and machine learning (2021)Real estate price estimation …Metrics for evaluating the performance of machine learning based automated valuation models (2021)Metrics for evaluating the pe…Application of stacking ensemble machine learning algorithm in predicting the cost of highway construction projects (2021)Application of stacking ensem…A mass appraisal assessment study using machine learning based on multiple regression and random forest (2020)A mass appraisal assessment s…A HOUSE PRICE VALUATION BASED ON THE RANDOM FOREST APPROACH: THE MASS APPRAISAL OF RESIDENTIAL PROPERTY IN SOUTH KOREA (2020)A HOUSE PRICE VALUATION BASED…A machine learning approach to big data regression analysis of real estate prices for inferential and predictive purposes (2019)A machine learning approach t…An Exploration of Neural Networks and Its Application to Real Estate Valuation (1995)Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks (2001)Determinants of house prices in Turkey: Hedonic regression versus artificial neural network (2008)Using Machine Learning Models and Actual Transaction Data for Predicting Real Estate Prices (2020)Spatial Econometrics: Methods and Models (1988)Specification and estimation of hedonic housing price models (1992)Simple diagnostic tests for spatial dependence (1996)Quick Computation of Spatial Autoregressive Estimators (1997)The Definition and Identification of Housing Submarkets (2001)Incorporating spatial variation in housing attribute prices: a comparison of geographically weighted regression and the spatial expansion method (2006)A Pure Theory of Local Expenditures (1956)Wages, Rents, and the Quality of Life (1982)Customer Satisfaction, Market Share, and Profitability: Findings From Sweden (1994)Skills, Tasks and Technologies: Implications for Employment and Earnings (2011)Hedonic housing prices and the demand for clean air (1978)Machine learning-based forecasts of residential property prices in Hangzhou City, Zhejiang Province, China (2024)Pre-owned housing price index forecasts using Gaussian process regressions (2024)Predictions of residential property price indices for China via machine learning models (2025)Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data (2014)A modelling approach with geographically weighted regression methods for determining geographic variation and influencing factors in housing price: A case in Istanbul (2022)Another look at measures of forecast accuracy (2006)Big Data: New Tricks for Econometrics (2014)Evaluating time series forecasting models: an empirical study on performance estimation methods (2020)17. A Value for n-Person Games (1953)Predicting property prices with machine learning algorithms (2020)Exploration of women cyclists’ perceived security using tree-based machine learning algorithms (2023)Local Indicators of Spatial Association—LISA (1995)Local Spatial Autocorrelation Statistics: Distributional Issues and an Application (1995)A measure of spatial stratified heterogeneity (2016)The Scree Test For The Number Of Factors (1966)A Second Generation Little Jiffy (1970)Evaluating the use of exploratory factor analysis in psychological research. (1999)Investor Sentiment and the Cross‐Section of Stock Returns (2006)Conducting Discrete Choice Experiments to Inform Healthcare Decision Making (2008)
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References

  • 1960The Application of Electronic Computers to Factor Analysis12,390 cited
  • 1974Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition10,715 cited
  • 1966A New Approach to Consumer Theory8,466 cited
  • 1992The Analysis of Spatial Association by Use of Distance Statistics6,253 cited
  • 1997Spatial Dependence and House Price Index Construction342 cited
  • 2011Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics264 cited

Cited by

  • 2020A HOUSE PRICE VALUATION BASED ON THE RANDOM FOREST APPROACH: THE MASS APPRAISAL OF RESIDENTIAL PROPERTY IN SOUTH KOREA180 cited
  • 2021Metrics for evaluating the performance of machine learning based automated valuation models178 cited
  • 2020A mass appraisal assessment study using machine learning based on multiple regression and random forest119 cited
  • 2022An explainable model for the mass appraisal of residences: The application of tree-based Machine Learning algorithms and interpretation of value determinants100 cited
  • 2019A machine learning approach to big data regression analysis of real estate prices for inferential and predictive purposes91 cited
  • 2022Housing Price Prediction Using Machine Learning Algorithms in COVID-19 Times85 cited
  • 2021Application of stacking ensemble machine learning algorithm in predicting the cost of highway construction projects

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82 cited
  • 2021Real estate price estimation in French cities using geocoding and machine learning82 cited
  • 2022Incorporating Spatial Autocorrelation in Machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features79 cited