Dell products l.p. (20240134937). METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DETECTING MODEL PERFORMANCE simplified abstract
Contents
- 1 METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DETECTING MODEL PERFORMANCE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DETECTING MODEL PERFORMANCE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DETECTING MODEL PERFORMANCE
Organization Name
Inventor(s)
METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DETECTING MODEL PERFORMANCE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240134937 titled 'METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DETECTING MODEL PERFORMANCE
Simplified Explanation
The abstract of the patent application describes a method for detecting model performance by acquiring a prediction result using a target model, reconstructing the input feature using a self-coding model, and determining a detection result based on confidence and reconstruction error thresholds.
- Acquiring prediction result using target model
- Reconstructing input feature using self-coding model
- Determining detection result based on confidence and reconstruction error thresholds
Potential Applications
This technology could be applied in various fields such as:
- Machine learning
- Artificial intelligence
- Predictive analytics
Problems Solved
This technology helps in:
- Evaluating model performance
- Identifying potential errors in predictions
- Enhancing the accuracy of models
Benefits
The benefits of this technology include:
- Improved model performance
- Increased confidence in predictions
- Enhanced decision-making processes
Potential Commercial Applications
This technology could be used in:
- Financial institutions for risk assessment
- Healthcare for disease diagnosis
- E-commerce for personalized recommendations
Possible Prior Art
One possible prior art for this technology could be:
- Research papers on model evaluation techniques
- Existing software tools for model performance analysis
What are the limitations of this method in detecting model performance?
The method described in the patent application may have limitations in terms of:
- Scalability for large datasets
- Sensitivity to noise in input features
How does this method compare to traditional model evaluation techniques?
This method offers advantages such as:
- Simplicity in implementation
- Ability to detect errors in predictions more effectively
Original Abstract Submitted
embodiments of the present disclosure provide a method, an electronic device, and a computer program product for detecting model performance. the method may include acquiring a prediction result of an input feature using a target model to determine a confidence of the prediction result. the method may further include reconstructing the input feature using a self-coding model to determine a reconstruction error, the reconstruction error being a difference between the input feature before being reconstructed by the self-coding model and the input feature after being reconstructed by the self-coding model. in addition, the method may include determining a detection result of the target model at least based on a comparison between the confidence and a first threshold and a comparison between the reconstruction error and a second threshold.
