Obtaining Explainable Classification Models using Distributionally Robust Optimization.
Sanjeeb DashSoumyadip GhoshJoao GoncalvesMark S. SquillantePublished in: CoRR (2023)
Keyphrases
- robust optimization
- classification models
- chance constrained
- stochastic programming
- mathematical programming
- feature selection
- training data
- decision trees
- semidefinite programming
- lot sizing
- risk measures
- neural network
- chance constraints
- feature subset
- feature set
- evolutionary algorithm
- artificial neural networks
- machine learning
- linear program
- linear programming
- decision theory
- face recognition
- decision making
- learning algorithm
- models built
- data mining
- data sets