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Evaluation utilities and visualizations for model performance Evaluation utilities and visualizations for model performance
This module provides visualization and evaluation tools for neural networks, including confusion matrices, ROC curves, learning curves, and feature importance. These tools help visualize and analyze model performance and training metrics.
Structsยง
- Confusion
Matrix - Confusion matrix for classification problems
- Feature
Importance - Feature importance visualization for machine learning models
- Learning
Curve - Learning curve data structure for visualizing model performance
- ROCCurve
- ROC curve data structure for binary classification evaluation