Residential property price forecasting model for Central Pangasinan, Philippines
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This quantitative-experimental study aims to develop a residential property price forecasting model for the fourteen municipalities and cities of central Pangasinan, Philippines. Employing supervised learning classification algorithms (linear regression and decision tree), the model predicts whether the value of real properties will increase or decrease in the future. Additionally, classic statistical forecasting techniques (straight line, moving average, simple linear regression and multiple linear regressions) are utilized to predict the rate of increase or decrease,
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Residential property price forecasting model for Central Pangasinan, Philippines
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