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.