Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Boosting has been shown to improve the performance of classifiers in many situations, including when data is imbalanced. There are, hover, two possible implementations of boosting, and it is unclear which should be used. Boosting by reighting is typically used, but can only be applied to base learners which are designed to handle example ights. On the other hand, boosting by resampling can be applied to any base learner. In this work,  empirically evaluate the differences beten these two boosting implementations using imbalanced training data. Using 10 boosting algorithms, 4 learners and 15 datasets,  find that boosting by resampling performs as ll as, or significantly better than, boosting by reighting (which is often the default boosting implementation).  therefore conclude that in general, boosting by resampling is preferred over boosting by ighting.
['Chris Seiffert', 'Taghi M. Khoshgoftaar', 'J. Van Hulse', 'Amri Napolitano']
I am writing a research paper on a idea Resampling or Reweighting: A Comparison of Boosting Implementations
[{"from": "human", "value": "I am writing a research paper on a idea Resampling or Reweighting: A Comparison of Boosting Implementations"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Boosting has been shown to improve the performance of classifiers in many situations, including when data is imbalanced. There are, hover, two possible implementations of boosting, and it is unclear which should be used. Boosting by reighting is typically used, but can only be applied to base learners which are designed to handle example ights. On the other hand, boosting by resampling can be applied to any base learner. In this work,  empirically evaluate the differences beten these two boosting implementations using imbalanced training data. Using 10 boosting algorithms, 4 learners and 15 datasets,  find that boosting by resampling performs as ll as, or significantly better than, boosting by reighting (which is often the default boosting implementation).  therefore conclude that in general, boosting by resampling is preferred over boosting by ighting."}]