A hybrid classifier combining SMOTE with PSO to estimate 5-year survivability of breast cancer patients

- We combine synthetic minority oversampling technique and particle swarm optimization.
- The classifiers are logistic regression, decision tree, and nearest neighbor heuristics.
- The effectiveness of classification for massive imbalanced data sets is improved.
- The SMOTE + PSO + C5 algorithm is the best for classification.