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A Model for House Price Prediction Using Machine Learning Algorithms

  • Unique Paper ID: 159827
  • Volume: 9
  • Issue: 12
  • PageNo: 1040-1047
  • Abstract:
  • In this, we will anticipate housing prices using machine learning techniques. Every year, there is a significant growth in the price of homes, thus we felt the need for a system that can forecast future home prices. People cannot accurately estimate the price of homes due to a lack of understanding about real estate assets. As a result, we realised the need for a model that can accurately forecast home prices. Therefore, the primary goal of our research is to accurately and profitably forecast the price of a property. The outcomes of the algorithms utilised are compared in this survey, and the model with the best accuracy and lowest error rate will be adopted. When selecting a prediction method, We frequently evaluate and compare a variety of prediction methods while choosing a prediction method. Due to its reliable and probabilistic model selection process, we frequently use the linear, and random forest regression models. Our findings demonstrate that the problem-solving strategy should be successful and flexible enough to produce forecasts that can be compared to other models for predicting housing prices. We frequently suggest a house price prediction model to help a consumer determine the accurate value of a home.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 12
  • PageNo: 1040-1047

A Model for House Price Prediction Using Machine Learning Algorithms

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