Optimizing the number of trees in a decision forest to discover a subforest with high ensemble accuracy using a genetic algorithm.
Md. Nasim AdnanMd Zahidul IslamPublished in: Knowl. Based Syst. (2016)
Keyphrases
- genetic algorithm
- neural network
- decision forest
- small number
- computational complexity
- decision stumps
- data sets
- pairwise
- artificial neural networks
- feature vectors
- evolutionary algorithm
- classification accuracy
- decision trees
- simulated annealing
- fitness function
- ensemble methods
- ensemble learning
- random forests
- leaf nodes
- feature selection
- training set size
- learning algorithm