Anomaly Detection - Classifier
For categorical data an ensemble of multiple classifiers were used:
- Logistic Regression, K-Nearest Neighbor, Support Vector Classifier, Decision Tree Classifier
- Different voting classifiers were analyzed (hard and soft voting classifier).
- Calibration techniques were applied namely: Platt Scaling and Isotonic Regression.