Predict your regional rent based on location and preferences
About the model
Note: model has been switched from a flexible environment to a standard environment on google cloud due to cost. As a result, loading times will be longer when you first run the application, but should be fast after your first prediction. Please be patient.
This model was built using a Random Forest Regressor model from scikit-learn. The data used to create this model comes from a Kaggle dataset which includes all Craigslist listings in the U.S. from June of 2020.To use this model, simply start by selecting your state. You will be directed to a new form where you will enter your preferred region and similar housing options provided by Craigslist. Once submitted, you will get an estimated cost for rent in your region.
PLEASE NOTE: ESTIMATED PRICES ARE FOR REGIONAL AREAS ONLY.
If the prices are higher than what you expect please realise that the model is predicting rent for an entire region within a state so there is high variation.Caveats: This model is not 100% perfect and requires careful consideration when estimating. The model is also not dynamically retrained; therefore, fluctuations in rent prices from June 2020 to the time you run the model may impact the precision of your rent prediction. Additionally, if regions across states are named the same, there will be errors in the prediction as well.