Predictive Models with Resampling: A Comparative Study of Machine Learning Algorithms and their Performances on Handling Imbalanced Datasets.
Adithi D. ChakravarthySindhura BonthuZhengxin ChenQiuming ZhuPublished in: ICMLA (2019)
Keyphrases
- machine learning algorithms
- benchmark data sets
- learning algorithm
- machine learning
- decision trees
- machine learning methods
- imbalanced datasets
- learning models
- machine learning models
- random forests
- learning problems
- loss function
- learning tasks
- high dimensional
- class imbalance
- meta learning
- classification models
- cost sensitive learning
- sampling methods
- predictive model
- ensemble methods
- neural network
- kernel methods
- probabilistic model