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Model Selection & Hyperparameter Tuning by sarvanan2907 is a document available to read on EtoBox.
What is Model Selection & Hyperparameter Tuning about?
The document outlines experiments on model selection and hyperparameter tuning using Grid and Random Search techniques, achieving optimal performance with multiple classifiers on drone telemetry data. The results showed identical performance metrics across models, indicating high accuracy and reliability in tampering detection. Additionally, ensemble methods were implemented to enhance model performance, with Gradient Boosting showing slight superiority in precision and F1-score.
- Author
- sarvanan2907
- Language
- EN