Discovering the Interpretability-Performance Pareto Front of Decision Trees with Dynamic Programming.
Hector KohlerRiad AkrourPhilippe PreuxPublished in: CoRR (2023)
Keyphrases
- dynamic programming
- decision trees
- multi objective
- multi objective optimization
- machine learning
- greedy algorithm
- prediction accuracy
- predictive accuracy
- optimal control
- naive bayes
- random forest
- stereo matching
- machine learning algorithms
- state space
- multiobjective optimization
- decision tree learning
- reinforcement learning
- data mining methods
- training data
- decision tree induction
- rule induction
- greedy search
- single machine
- coarse to fine
- knapsack problem
- linear programming
- ensemble methods
- neural network
- nsga ii
- markov decision processes
- decision rules
- optimal policy
- decision tree algorithm
- training set
- dynamic programming algorithms
- dp matching
- multivariate decision trees