This script explores various Model Ensemble techniques in machine learning, demonstrating their effectiveness in improving prediction accuracy through programmatic examples
[!Important Notes]
- {{Note 1: Consider adding more ensemble techniques like Stacking or Isolated Forests for a comprehensive comparison.}}
- {{Note 2: Observe how different base estimators impact the performance of the ensemble methods.}}
[!Follow-Up Questions]
- {{How can ensemble methods be optimized for larger datasets?}}
- {{What are the trade-offs between different ensemble techniques in terms of complexity and performance?}}