Patent ID: 11861747
Assignee: MFTB HOLDCO, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. The method of claim 1, wherein:
the model comprises a random forest regression model comprising decision trees;
creating the model comprises creating at least one decision tree; and
training the model, using the values of the attributes and the home listing transactions, comprises, for each of the least one decision tree:
selecting a subset of the attributes that includes a listing price;
generating a trained decision tree by training the at least one decision tree using the subset of the attributes, such that each leaf node of the trained decision tree represents a distinct combination of ranges of values of the subset of the attributes and a distinct subset of the homes, each of the first plurality of homes being represented by exactly one leaf; and
storing, in connection with each leaf node, the estimated length of time from listing to sale based on the home listing transactions of the subset of homes represented by the leaf node.