The Seattle and Boston Airbnb datasets were mined based on the CRISP-DM framework. The IDE used was DataSpell.
The datasets for this project was sourced from insideairbnb.com, the Seattle dataset consisted of over six thousand fields, the Boston dataset consisted of over three thousand fields. Both has 18 attributes each. A third dataset was used as the test data and was sourced from https://www.kaggle.com/datasets/dgomonov/new-york-city-airbnb-open-data. The third dataset was used to determine how well the model was able to generalize to new datasets.