Machine Learning Modeling Process Visualization
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Solution Overview
Problem
Existing machine learning automatic modeling processes do not clearly divide the modeling process into stages, making it difficult for users to intuitively understand the progress, leading to increased cognitive and operational thresholds, especially for novice users, and causing anxiety due to unclear progress perception.
Innovation Solution
The proposed method and system present the machine learning automatic modeling process using foldable process cards and flowcharts, displaying resource occupancy and log information, and providing dynamic progress updates, allowing users to visualize the stages and adjust modeling schemes in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the machine learning automatic modeling process is presented without clear stage division, then the interface can display all modeling information, but users cannot intuitively understand the progress and have high cognitive threshold
Solution Approach 1:
The patent divides the machine learning automatic modeling process into multiple distinct stages (data preparation, model training, model evaluation, etc.) and presents each stage separately with dedicated display areas. This segmentation allows users to clearly see what stage is currently running, what has been completed, and what is pending, thereby improving progress perception and reducing cognitive load while maintaining complete information display.
2Loss of information
If the machine learning automatic modeling process is presented without clear stage division, then all modeling content can be displayed, but users experience anxiety due to unclear progress perception
Solution Approach 1:
The patent implements a feedback mechanism that continuously updates the user interface with real-time modeling progress information. The system provides visual feedback showing which stage is currently executing, what results have been obtained so far, and what remains to be done. This continuous feedback loop reduces user anxiety by making the invisible processing visible and controllable.
3Ease of operation
If the modeling process is divided into multiple stages with foldable process cards, then users can intuitively perceive progress, but the interface complexity increases
Solution Approach 1:
The patent employs a nested structure where foldable process cards are contained within the main interface framework. Each process card represents a modeling stage and can be expanded or collapsed independently. When collapsed, only essential information is visible; when expanded, detailed information is displayed. This nesting approach organizes complex information hierarchically, improving progress perception while managing interface complexity through structured containment.
Data Source
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AI summary
Provided are a method and system for displaying a machine learning automatic modeling procedure. The method comprises : displaying a process card panel corresponding to each stage of a machine learning automatic modeling procedure, wherein the machine learning automatic modeling procedure is divided into multiple stages; displaying a flowchart corresponding to the multiple stages, wherein the process card panel corresponding to the stage which is currently running unfolds according to the stage of machine learning automatic modeling which is currently running, while a folded state is maintained for process card panels corresponding to finished stages and stages which are not running; according to the running process of the stage which is currently running, displaying in real time at least one dynamic effect reflecting the running process and running result of the stage which is currently running in the unfolded process card panel, wherein a dynamic effect reflecting the running process of the stage which is currently running is displayed in the flowchart in real time according to the running process of the stage which is currently running.