Characteristics and classification of properties In this project, we will take you on an analytical journey through the Boston Appraisal Database and delve into the fascinating world of real estate and classifications. Thanks to the decision tree and random forest views, we can learn more about properties like “HEAT_TYPE”, “ROOF_STRUCTURE” and “EXT_COND”. These powerful algorithms shed light on the complex interactions between different feature attributes, resulting in a more advanced understanding of how these relationships affect classification and evaluation. In subclasses like ‘OWN_OCC’ and ‘STRUCTURE_CLASS’ we reveal the small differences that often make a big difference in the real estate industry. Using models tailored to these categories helps us understand the variables that affect ownership and structures in Boston’s ever-changing real estate market.