Property Rental Price Prediction Using the Extreme Gradient Boosting
Algorithm

Property Rental Price Prediction Using the Extreme Gradient Boosting
Algorithm

Rental Price; Prediction Model; Extreme Gradient Boosting; XGBoost.

Online marketplace in the field of property renting like Airbnb is growing. Many property owners have begun renting out
their properties to fulfil this demand. Determining a fair price for both property owners and tourists is a challenge.
Therefore, this study aims to create a software that can create a prediction model for property rent price. Variable that
will be used for this study is listing feature, neighbourhood, review, date and host information. Prediction model is
created based on the dataset given by the user and processed with Extreme Gradient Boosting algorithm which then will
be stored in the system. The result of this study is expected to create prediction models for property rent price for
property owners and tourists consideration when considering to rent a property. In conclusion, Extreme Gradient
Boosting algorithm is able to create property rental price prediction with the average of RMSE of 10.86 or 13.30%.

Marco Febriadi Kokasih 1,*, Adi Suryaputra Paramita

2020

peri irawan

pdf

english

text