From c7adf3b7c6154849e621124963a7810edcd0c6c0 Mon Sep 17 00:00:00 2001 From: Ashita Prasad Date: Sat, 8 Jun 2024 10:28:51 +0530 Subject: [PATCH] Rename ensemble_learning.md to ensemble-learning.md --- .../{ensemble_learning.md => ensemble-learning.md} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename contrib/machine-learning/{ensemble_learning.md => ensemble-learning.md} (98%) diff --git a/contrib/machine-learning/ensemble_learning.md b/contrib/machine-learning/ensemble-learning.md similarity index 98% rename from contrib/machine-learning/ensemble_learning.md rename to contrib/machine-learning/ensemble-learning.md index 940bd09..508f45e 100644 --- a/contrib/machine-learning/ensemble_learning.md +++ b/contrib/machine-learning/ensemble-learning.md @@ -137,4 +137,4 @@ print("Classification Report:\n", classification_report(y_test, y_pred)) ``` ## Conclusion -Ensemble Learning is a powerful technique that combines multiple models to improve overall performance. By leveraging the strengths of different models, it provides better accuracy, robustness, and generalization. However, it comes with increased complexity and computational cost. Understanding and implementing ensemble methods can significantly enhance machine learning solutions. \ No newline at end of file +Ensemble Learning is a powerful technique that combines multiple models to improve overall performance. By leveraging the strengths of different models, it provides better accuracy, robustness, and generalization. However, it comes with increased complexity and computational cost. Understanding and implementing ensemble methods can significantly enhance machine learning solutions.