Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology.
Pritesh MistryDaniel NeaguPaul R. TrundleJonathan D. VesseyPublished in: Soft Comput. (2016)
Keyphrases
- random forest
- decision trees
- random forests
- feature importance
- classification models
- feature set
- machine learning algorithms
- ensemble methods
- artificial neural networks
- ensemble classifier
- fold cross validation
- machine learning
- multi class
- natural language processing
- active learning
- neural network
- prediction accuracy
- multi label
- training data
- image processing