Comparison of Evaluation Metrics in Classification Applications with Imbalanced Datasets.
Mehrdad FatourechiRabab K. WardSteven G. MasonJane E. HugginsAlois SchlöglGary E. BirchPublished in: ICMLA (2008)
Keyphrases
- imbalanced datasets
- evaluation metrics
- cost sensitive learning
- class imbalance
- precision and recall
- decision trees
- feature selection
- class distribution
- classification accuracy
- text classification
- imbalanced data
- minority class
- training dataset
- machine learning methods
- classification models
- benchmark datasets
- feature extraction
- supervised learning
- training set
- feature space
- data sets
- sampling methods
- fraud detection
- ensemble methods
- high dimensionality
- classification algorithm
- machine learning algorithms
- text categorization