A random forest algorithm-based approach to capture latent decision variables and their cutoff values.
Ryosuke MatsuoTomoyoshi YamazakiMuneou SuzukiHinako ToyamaKenji ArakiPublished in: J. Biomed. Informatics (2020)
Keyphrases
- random forest
- learning algorithm
- objective function
- dynamic programming
- optimization algorithm
- knapsack problem
- cost function
- computational complexity
- sensitivity analysis
- genetic algorithm
- decision variables
- random forests
- optimization method
- search space
- decision trees
- data mining
- simulated annealing
- text mining
- worst case
- active learning