System and method for generating scores for predicting probabilities of task completion
US12198052B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 3, 2023 |
| Grant date | Jan 14, 2025 |
| Priority date | — |
| Expiry date | Mar 3, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/016
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to various embodiments, described herein are systems and methods for training machine learning (ML) models to generate real-time scores to predict the probabilities of task completion. In one embodiment, an exemplary method includes the operations of receiving, from a data store, a set of features and a workflow for training a first type of ML models, the workflow specifying a data source, a number of stages and associated parameters for training the ML models; retrieving, from the data source, training data for the set of features; and segmenting the training data into different segments. The method further includes the operations of training a separate first type of ML model using each of the different segment of the training data in accordance with the workflow; and persisting the first type of trained ML models into the data storage. The method also includes using a trained ML model to generate probability scores and displaying the scores to users in real-time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.