Investigating the use of gradient boosting machine, random forest and their ensemble to predict skin flavonoid content from berry physical-mechanical characteristics in wine grapes.
Luca BrillanteFederica GaiottiLorenzo LovatSimone VincenziSimone GiacosaFabrizio TorchioSusana Río SegadeLuca RolleDiego TomasiPublished in: Comput. Electron. Agric. (2015)
Keyphrases
- random forest
- gradient boosting
- random forests
- ensemble methods
- base learners
- decision trees
- ensemble learning
- feature set
- base classifiers
- loss function
- fold cross validation
- ensemble classifier
- multi label
- prediction accuracy
- machine learning methods
- generalization ability
- decision tree learning algorithms
- data sets
- genetic programming
- multi class
- pairwise
- image segmentation
- feature selection
- neural network