Error Determination Apparatus for Classification Accuracy and Probability Output
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Solution Overview
Problem
Conventional data classification techniques can determine the accuracy of classification but fail to output probabilities indicating the likelihood of data belonging to specific classes.
Innovation Solution
An error determination device comprising a classification estimation process observation unit, a probability estimation unit, and an error determination unit that generates an estimation process feature vector, calculates estimated probabilities, and determines the correctness of classification results, outputting both the classification result and the estimated probability vector.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional data classification techniques are used, then classification accuracy determination is achieved, but probability output for each class is not provided
Solution Approach 1:
The patent segments the classification output into two distinct components: (1) a determination result indicating whether classification is correct or incorrect, and (2) a probability vector containing probability values for each class. This segmentation allows the system to provide both accuracy determination and probability information separately, resolving the contradiction between achieving accurate classification determination and providing complete probability information.
Solution Approach 2:
The patent adds a new dimension to the classification output by introducing the probability vector as a separate output component. Instead of only providing a binary correct/incorrect determination, the system now operates in an enhanced output space that includes both the determination result and the probability distribution across classes, thereby preventing loss of probability information.
2Productivity
If conventional classification techniques are used, then processing speed is maintained, but additional probability estimation computation is required
Solution Approach 1:
The patent merges the probability estimation computation with the existing classification determination process. By integrating the probability vector generation into the same computational framework used for accuracy determination, the system avoids separate independent computations, thereby managing computation complexity while providing both determination results and probability information.
Solution Approach 2:
The classification system is designed to perform multiple functions simultaneously: it determines whether classification is correct or incorrect and generates the probability vector for each class. This multi-functionality allows the same computational process to serve both accuracy assessment and probability estimation purposes, optimizing processing efficiency.
Data Source
AI summary
An error determination device comprising: a classification estimation process observation unit that acquires data in an estimation process from a classification estimation unit that estimates classification of data to be classified, and generates an estimation process feature vector on a basis of the data; a probability estimation unit that generates an estimated probability vector including probabilities each of which is a probability that the data to be classified belongs to one of classes on a basis of the estimation process feature vector; and an error determination unit that determines whether a classification result by the classification estimation unit is correct or incorrect on a basis of the estimated probability vector, and outputs the classification result, a determination result as to whether the classification result is correct or incorrect, and the estimated probability vector.