Learning from Imbalanced Data

Good articles summarizing techniques to overcome imbalanced datasets.

Reddit submission about imbalanced datasets.

Some techniques for imbalanced datasets

• Samplign methods
  • over/under-sampling
  • informed sampling
• Data generation
  • SMOTE
  • Adaptive synthetic sampling
  • Sampling with data cleaning
• Cluster-based sampling
• Sampling and boosting integration
• Cost-sensitive methods - introduction of weights
• Kernel-based methods

Assesment matrices for imbalanced datasets

• Accuracy, error rate
• Confusion matrix - true positive, false positive, true negative, false negative
• ROC curve
• Precision-Recall curve
• Cost curves