Abstract
[0001] The present disclosure provides a system and method for providing training frameworks to optimize model based on business goals. The processor of the training framework system introduces novel model evaluation metrics which are directly aligned with business goals and capture most business use cases for A2A fraud detection models. Metrics can be used in model training and evaluation. In the first approach, the processor of the training framework system sets validation criteria to a new metric but training the model with traditional loss. In the second approach, the processor of the training framework system trains and validates the model based on loss functions derived from new metrics.
Creative Commons License
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Recommended Citation
Sonar, Chinamy Narendra; Zhang, Shuhan; Li, Keyi; Meng, Lin; Liu, Can; Agrawal, Shubham; and Chetia, Chiranjeet, "SYSTEMS AND METHODS FOR TRAINING FRAMEWORKS TO OPTIMIZE MODEL BASED ON BUSINESS GOALS", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/8309