Non-transitory computer-readable recording medium having stored therein classification processing program, classification processing apparatus, and computer-implemented classification processing method
AssigneeFujitsu Limited
InventorYuuji HOTTA
Life of this patent
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Abstract
A non-transitory computer-readable recording medium having stored therein a classification processing program that causes a computer to execute a process includes: inputting, into a machine learning model that classifies input data pieces into one of a plurality of classes, a first input data piece that does not have a ground truth label and a second input data piece that has a known ground truth label; and determining whether the machine learning model is degraded based on an output result for the second input data piece out of output results output from the machine learning model, and the ground truth label.
Claims17
A non-transitory computer-readable recording medium having stored therein a classification processing program that causes a computer to execute a process comprising:
- inputting, into a machine learning model that classifies input data pieces into one of a plurality of classes, a first input data piece that does not have a ground truth label and a second input data piece that has a known ground truth label;
- and
- determining whether the machine learning model is degraded based on an output result for the second input data piece out of output results output from the machine learning model, and the ground truth label.
A classification processing apparatus comprising:
- a memory;
- and
- a processor coupled to the memory, the processor being configured to perform a process comprising:
- inputting, into a machine learning model that classifies input data pieces into one of a plurality of classes, a first input data piece that does not have a ground truth label and a second input data piece that has a known ground truth label;
- and
- determining whether the machine learning model is degraded based on an output result for the second input data piece out of output results output from the machine learning model, and the ground truth label.
A computer-implemented the classification processing method comprising executing, by a computer, a process comprising:
- inputting, into a machine learning model that classifies input data pieces into one of a plurality of classes, a first input data piece that does not have a ground truth label and a second input data piece that has a known ground truth label;
- and
- determining whether the machine learning model is degraded based on an output result for the second input data piece out of output results output from the machine learning model, and the ground truth label.
Dependencies are inferred from the claim text.