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

Claim 0:
1. A system of account inactivity modeling through hierarchical data models including a first level classifier and a second level classifier, comprising:
a processor programmed to:
access feature data comprising a plurality of features associated with each account from among a plurality of accounts;
access first label data that represents an occurrence of attrition;
train, 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;
access 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;
train, 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;
generate 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 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 the first level classifier and/or the second level classifier based on the identified subset of features.