AI Models
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Random Forest
Active
Ensemble learning method
Accuracy:
87%
Training Time:
Fast
Explainability:
High
Selected
XGBoost
Available
Gradient boosting framework
Accuracy:
92%
Training Time:
Medium
Explainability:
Medium
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Neural Network
Available
Deep learning approach
Accuracy:
94%
Training Time:
Slow
Explainability:
Low
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Performance
Explainability
Model Comparison
Model Performance Metrics
Accuracy, precision, recall, and F1 score for the selected model
Training History
Model performance over training epochs
Confusion Matrix
True vs. predicted values