Data lake visualization - 4 color schemes
Number of main colors:4 kinds
Number of embellishment colors:2 kinds
style analysis
Confidence level:95
Cultural background:modern technology
Description: This image shows the confusion matrix of the kpca-lvqnn model on the training dataset (a) and test set (b). The matrices are divided into three categories:Normal state, flooded failure, and membrane dry failure. Each cell shows how the actual category matches the predicted category, with precision and recall indicators attached. Color coding is used to distinguish between correct classification (green) and wrong classification (red). The overall performance is good, especially with 100% accuracy in membrane dry failure classification.
Emotional tone:neutral
Style:data lake visualization
Subject:Evaluation of classification performance of machine learning models, specifically confusion matrices for KPCA-LVQNN on training and test sets
Technique:Confusion Matrix Diagram
main color scheme
Color details
| color | color value | percentage |
|---|---|---|
| #EBECEB | 35.3% | |
| #F7C2BD | 30% | |
| #B5D2BA | 22.2% | |
| #575550 | 12.5% |
embellishment color
Suggestions for use
- The main color can be used for color design of brand logos, websites, paintings, PPT and other scenes
- The larger color is suitable as the background color or the main interface color
- Embellished colors can be used to highlight buttons, links, and important information
- It is recommended to maintain the layering and contrast of colors in the same design
