Unified Learning Model Evaluation Interface for Algorithm Comparison

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Solution Overview

Problem

Existing technologies lack an efficient method for evaluating the characteristics of learning models created using different algorithms, making it difficult to select the most suitable model for a specific purpose.

Innovation Solution

A learning model evaluation assistance device and program that displays multiple learning models with a unified interface, allowing users to select and evaluate their characteristics through a series of screens and tools, including confusion matrices and weighting adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple learning models with different algorithms are created to achieve diverse characteristics, then the versatility and adaptability improve, but the complexity of evaluating and selecting the most suitable model increases

Engineering Contradiction:

Improveadaptability of learning modelsVSAvoidcomplexity of model evaluation

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The evaluation process is segmented into distinct functional modules: a display unit that presents multiple learning models with unified interfaces, a selection unit that receives user input to choose specific models, and an output display unit that shows evaluation results. This segmentation allows complex evaluation tasks to be broken down into manageable, independent steps, reducing the perceived complexity for users while maintaining comprehensive evaluation capabilities across multiple algorithms and models.

Inventive Principle:

Principle #1Segmentation

2Ease of operation

If a unified interface is provided for displaying multiple learning models, then the ease of operation improves, but the ability to display algorithm-specific characteristics may be reduced

Engineering Contradiction:

Improveease of model selectionVSAvoidloss of algorithm-specific characteristics

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The display unit is designed with universal functionality to handle multiple learning models with different algorithms through a common interface. This unified interface presents consistent information structures across diverse models, making operation easier. Simultaneously, the system preserves algorithm-specific characteristics by adapting the universal interface to display relevant details for each model type, ensuring no critical information is lost while maintaining ease of use.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentEP4621660A1Learning model evaluation assistance device and learning model evaluation assistance program

Publication Date: 2025.09.24 SCREEN HOLDINGS CO LTD

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AI summary

A learning model evaluation assistance device includes a model information displayer, a model selector and an output displayer. The model information displayer displays, on a display device, in a selectable manner, a plurality of learning model being stored in a predetermined storage area and having a same interface. The model selector selects at least one learning model from among the plurality of learning models displayed on the display device. The output displayer displays, on the display device, an output result provided by the at least one learning model.