Evaluation System Using Reusable Index Elements
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Solution Overview
Problem
Current data mining evaluation systems are complex for operators to use, requiring the generation of multiple evaluation modules for various evaluation indexes, which is time-consuming and cumbersome, especially when considering the specific characteristics of different business applications.
Innovation Solution
A computer system that facilitates the evaluation of predictors by constituting evaluation indexes as a combination of three types of elements: LOSS, SAMPLING, and STATISTIC, allowing these elements to be reused across multiple evaluation indexes, thereby simplifying the generation and application of evaluation modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple evaluation modules are generated for various evaluation indexes, then the evaluation comprehensiveness is improved, but the system complexity and manual effort increase
Solution Approach 1:
The patent creates a universal evaluation module that can handle multiple evaluation indexes (MAE, MSE, MAPE, etc.) through a standardized interface. The evaluation index information includes index type, calculation formula, and weight coefficients, allowing the single module to adapt to different evaluation scenarios without requiring separate modules for each index.
Solution Approach 2:
The evaluation process is segmented into distinct components: data acquisition unit, evaluation index definition unit, and calculation unit. Each component has a specific function, and they work together through standardized interfaces. This segmentation allows the system to maintain complexity in a manageable way while achieving comprehensive evaluation.
2Reliability
If multiple evaluation modules are generated for various evaluation indexes, then the evaluation comprehensiveness is improved, but the manual effort and time consumption increase
Solution Approach 1:
The universal evaluation module eliminates the need to manually create separate modules for each evaluation index. The module automatically adapts to different indexes based on the provided evaluation index information (formula, parameters, weights), significantly reducing manual setup time and effort.
Solution Approach 2:
The system uses parameter-based configuration instead of code-based customization. By changing evaluation parameters (index type, formula, weights) rather than rewriting module code, the system can quickly adapt to different evaluation scenarios, reducing the time required to implement comprehensive evaluation.
3Ease of operation
If standardized evaluation index information is used, then the ease of operation is improved, but the adaptability to specific business characteristics may be reduced
Solution Approach 1:
The evaluation module employs dynamic configuration where the evaluation index information can be adjusted based on specific business needs. The system accepts flexible input parameters including custom weight coefficients and calculation formulas, allowing standardization to coexist with adaptability to different business characteristics.
Solution Approach 2:
The system applies local quality by allowing different evaluation indexes and weight coefficients to be assigned to different data sets or business scenarios. Each evaluation can be customized with appropriate local parameters while using the same standardized module structure, achieving both ease of operation and business-specific adaptability.
Data Source
AI summary
Facilitate the procedure of evaluating a predictor.This evaluation system comprises an input receiving unit via which elements constituting an evaluation index are specified and an evaluation-index calculation unit that calculates an evaluation-index value for a data set. The evaluation index comprises an element of a first type that evaluates the sample data, an element of a second type that applies weights to the sample data, and an element of a third type that performs a statistical process on a plurality of sample data based on information outputted by the element of the first type and the element of the second type. The evaluation-index calculation unit calculates the above-mentioned evaluation-index value based on the evaluation index comprising the elements received by the input receiving unit.