Ensemble Predictor

Combine multiple models for robust predictions with uncertainty quantification

Ensemble Configuration

CNN-Small 0.20
Accuracy: 92.3% Speed: Fast Params: 1.2M Specialty: Basic
CNN-CBAM 0.25
Accuracy: 94.8% Speed: Medium Params: 2.5M Specialty: Attention
ResNet-18 0.30
Accuracy: 95.6% Speed: Medium Params: 11M Specialty: Deep
ViT-Tiny 0.15
Accuracy: 93.7% Speed: Slow Params: 5.7M Specialty: Global
EfficientNet 0.25
Accuracy: 96.2% Speed: Medium Params: 5.3M Specialty: Efficient
MobileNet 0.10
Accuracy: 91.5% Speed: Very Fast Params: 3.2M Specialty: Mobile
70%

Ensemble Predictions

Wafer Scratch
85.3%
Particle Defect
8.2%
Ring Pattern
4.1%
Edge Location
2.4%

Uncertainty Analysis

0.23
Uncertainty Score
Low Uncertainty - High Confidence

Model Contributions

ResNet-18 28.5%
EfficientNet 24.2%
CNN-CBAM 23.8%
CNN-Small 18.5%
ViT-Tiny 5.0%

Model Agreement Analysis