Patent ID: 11935075
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A method of account inactivity modeling through hierarchical data models including a first level classifier and a second level classifier, comprising:
accessing, by a processor, feature data comprising a plurality of features associated with each account from among a plurality of accounts;
accessing, by the processor, first label data that represents an occurrence of attrition;
training, by the processor, based on the feature data and the first label data, the first level classifier to generate, for each account, a first output indicating whether or not the account is likely to exhibit attrition;
accessing, by the processor, second label data comprising a plurality of labels comprising at least a first label indicating attrition will start at a first time period and a second label indicating that attrition will start at a second time period different than the first time period; and
training, by the processor, based on the feature data and the plurality of labels, the second level classifier to generate, for each account determined by the first level classifier to exhibit attrition, a prediction of a start of the attrition;
generating, by the processor, one or more evaluation metrics that indicate performance of the first level classifier and/or the second level classifier trained on the feature data;
identify, by the processor, a subset of features from the feature data based on the one or more evaluation metrics to improve model performance and/or reduce the amount of data processed by the first level classifier and/or the second level classifier; and
re-train, by the processor, the first level classifier and/or the second level classifier based on the identified subset of features.