ML Model Insights

Detailed analysis of AI/ML model performance and explainability

Best Model

U-Net + LSTM

Hybrid Architecture

Overall Accuracy

91.2%

Training Time

4.2 hrs

Optimized
Model Comparison
Performance metrics across different AI/ML models
Model Architecture Details
Technical specifications of the best performing model
Architecture
U-Net + LSTM Hybrid
Input Resolution256x256 pixels
Parameters23.5M
Training Data50,000 samples
Validation Split20%

Key Features:

  • • Spatial feature extraction via U-Net
  • • Temporal sequence modeling with LSTM
  • • Multi-scale attention mechanism
  • • Data augmentation techniques
Performance Metrics
Detailed breakdown of model evaluation metrics
91.2%
Accuracy
89.7%
Precision
92.5%
Recall
91.1%
F1-Score