Patent ID: 11915109
Assignee: ARTHUR AI, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method, comprising:
generating, via a processor, a trained decision tree based on input data and a partitioning objective, the trained decision tree including a plurality of nodes, each node from the plurality of nodes having at least a subset of the input data from a plurality of subsets of the input data;
generating, via the processor, a modified decision tree by:
(a) recursively passing the input data through the trained decision tree to define a recursion,
(b) filtering the input data at each split from a plurality of splits of the recursion,
(c) recursively calculating, for each node from the plurality of nodes, an associated set of metrics from a plurality of metrics, and
(d) recursively defining an association between each node from the plurality of nodes and the associated set of metrics from the plurality of metrics, thereby generating the modified decision tree, at least two of (a), (c), or (d) at least partially overlapping in time, each node from a plurality of nodes of the modified decision tree including a node threshold and metadata that are concurrently stored at each node from the plurality of nodes of the modified decision tree as the trained decision tree is traversed;

identifying, via the processor, a node from the plurality of nodes of the modified decision tree that violates a user-specified threshold value for at least one metric from the plurality of metrics, the user-specified threshold value associated with a user; and
causing transmission of a signal including a representation of the identified node from the plurality of nodes of the modified decision tree from the processor to a compute device of the user.